Name: Python for Beginners
Price: 24.99 GBP
Availability: InStock

<h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);">About the course</h3><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">&ldquo;Quantum Computing for Finance&rdquo; is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems.</p><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">&ldquo;Introduction to Quantitative and Computational Finance&rdquo; provides a basis to step into the world of Quantum Computing for Finance. This introductory course will develop fundamental concepts required for an understanding of quantum algorithms and more advanced topics in computational finance. Through this course, you will learn the basics of derivative products, the Black-Scholes-Merton model for pricing vanilla derivatives, and how to compute the price of exotic options with a computer. &nbsp;This course is designed for all those who wish to develop their skills and start a career in quantitative finance.</p><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">This course is the first part of the specialised training program: &ldquo;Quantum Computing for Finance&rdquo;.</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong style="color: rgb(34, 34, 34); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: rgb(34, 34, 34);">What Skills you will learn</strong></h3><ul style="color: rgb(88, 88, 88); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><li fr-original-style="" style="box-sizing: border-box;">The fundamentals of derivative products, their types &ndash; forwards and options, and their pricing.</li><li fr-original-style="" style="box-sizing: border-box;">An understanding of the Black-Scholes-Merton model, hedging and volatility modelling.</li><li fr-original-style="" style="box-sizing: border-box;">The computational and modelling techniques for pricing options such as Monte-Carlo simulations and the Finite Difference method.</li><li fr-original-style="" style="box-sizing: border-box;">A strong foundation in quantitative and computational skills for modelling and solving complex financial problems using Python programming language.</li><li fr-original-style="" style="box-sizing: border-box;">The skills for a career in the finance industry, including quantitative asset management and trading, financial engineering, risk management, and applied research.</li></ul><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Course Prerequisites</h3><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">All potential learners should have prior knowledge of the following content areas, either through completion of academic studies or relative professional preparation:</p><ul style="color: rgb(88, 88, 88); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><li fr-original-style="" style="box-sizing: border-box;">Basic calculus (partial derivatives)</li><li fr-original-style="" style="box-sizing: border-box;">Probability theory (with an exposure to measure theory if possible)</li><li fr-original-style="" style="box-sizing: border-box;">Basic linear algebra (matrix operations)</li><li fr-original-style="" style="box-sizing: border-box;">Numerical Python (NumPy essentially)</li></ul><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">The course contains several Python based programming exercises. We recommend that you install Python on your local system to practice and implement the programs explained throughout the course. For instructions and tutorials for beginners, please click on the following link:</p><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><a href="https://platform.qureca.com/wp-content/uploads/2020/09/python-prep.pdf" style="color: rgb(24, 149, 50); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(24, 149, 50);">Python installation instructions and tutorials for beginners</a></p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Duration</h3><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">The estimated duration to complete this course is approximately 4 weeks (~3hrs/week).</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Course assessment</h3><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><span lang="EN-GB" data-contrast="auto" fr-original-style="" style="box-sizing: border-box;"><span data-ccp-parastyle="Normal (Web)" fr-original-style="" style="box-sizing: border-box;">To complete the course and earn certification, you must pass all the quizzes at the end of e</span></span><span lang="EN-GB" data-contrast="auto" fr-original-style="" style="box-sizing: border-box;"><span data-ccp-parastyle="Normal (Web)" fr-original-style="" style="box-sizing: border-box;">ach lesson by scoring 80% or more.</span></span></p><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><span lang="EN-GB" data-contrast="auto" fr-original-style="" style="box-sizing: border-box;"><span data-ccp-parastyle="Normal (Web)" fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></span></span></p><h4 style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><a href="https://platform.qureca.com/courses/introduction-to-quantitative-and-computational-finance/#course-section__instructors" style="color: rgb(0, 0, 0); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 0, 0);">Instructors</a></h4><div style="color: rgb(66, 66, 66); box-sizing: border-box;" fr-original-style=" color: rgb(66, 66, 66);"><a itemprop="author" href="https://platform.qureca.com/author/kevincallaghan/" style="color: rgb(24, 149, 50); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(24, 149, 50);"><img width="120" height="120" src="https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-150x150.png" alt="" size="120" default="mm" srcset="https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-150x150.png 150w, https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-380x380.png 380w, https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-300x300.png 300w, https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-100x100.png 100w" sizes="(max-width: 120px) 100vw, 120px" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></a></div><div style="color: rgb(66, 66, 66); box-sizing: border-box;" fr-original-style=" color: rgb(66, 66, 66);"><a itemprop="author" href="https://platform.qureca.com/author/kevincallaghan/" style="color: rgb(0, 0, 0); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 0, 0);">QuantFi</a>QuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD&#39;s and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.</div>

Qureca

Quantum Computing

Introduction to Quantitative and Computational Finance

General Admission

<strong>This course is designed for beginners or anyone who wants to get started with Python-based face recognition. In this course, you will learn how to perform face detection from images, face detection from real-time videos, emotion detection, age-gender prediction, face recognition from images and real-time videos, and more!</strong>
        <p>This course will help you delve into face recognition using Python without having to deal with all the complexities and mathematics associated with the deep learning process.

You will start with an introduction to face detection and face recognition technology. After this, you'll get the system ready by installing the Anaconda package and other dependencies and libraries. You'll then write Python code to detect faces from a given image and extract the faces as separate images. Next, you'll focus on face detection by streaming a real-time video from the webcam.

Customize the face detection program to blur the detected faces dynamically from the webcam video stream. You'll also learn facial expression recognition and age and gender prediction using a pre-trained deep learning model.

Later, you'll progress to writing Python code for face recognition, which will help identify the faces that are already detected. Then you'll explore the concept of face distance and tweak the face landmark points used for face detection.

By the end of this course, you'll be well-versed with face recognition and detection and be able to apply your skills in the real world.

All the codes and supporting files for this course will be available at https://github.com/PacktPublishing/Computer-Vision-Face-Recognition-Quick-Starter-in-Python</p>
        <h2>What You Will Learn</h2><p>Become well-versed with face detection and face recognition technology<br>Understand how to install the Anaconda package<br>Install dependencies and libraries such as dlib, OpenCV, and Pillow<br>Learn how to perform face detection and face recognition<br>Use the face distance parameter to calculate the magnitude of faces<br>Create custom face make-up for an image with face landmark points</p>
        <h2>Audience</h2><p>This course is designed for beginners or anyone who wants to get started with Python-based face recognition.</p>
        <h2>Approach</h2><p>Starting with an introductory section along with plenty of examples, this course will help you even if you do not have a Python background by getting you up and running with the basics. You'll be able to learn effectively with detailed explanations and even useful Python assignments.</p>
        <h2>Key Features</h2><p>Use Python to detect and recognize faces from images and real-time webcam video * Become well-versed with emotion detection * Get up to speed with predicting age and gender from images and real-time webcam video</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Computer-Vision-Face-Recognition-Quick-Starter-in-Python</p>
        <h2>About the Author</h2><h3>Abhilash Nelson</h3><p>Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than 8 years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.</p>
        <h2>Course Outline</h2><h4>1. Introduction to face recognition</h4><p></p><br><h4>2. Introduction to Face Recognition</h4><p></p><br><h4>3. Environment Setup: Installing Anaconda Package</h4><p></p><br><h4>4. Python Basics (Optional)</h4><p></p><br><h4>5. Setting up Environment - Additional Dependencies (With DLib Fixes)</h4><p></p><br><h4>6. (Optional) DLib Error: Downgrading Python and Fixing</h4><p></p><br><h4>7. Introduction to Face Detectors</h4><p></p><br><h4>8. Face Detection Implementation</h4><p></p><br><h4>9. Optional: cv2.imshow() Not Responding Issue Fix</h4><p></p><br><h4>10. Realtime Face Detection from WebCam</h4><p></p><br><h4>11. Video Face Detection</h4><p></p><br><h4>12. Realtime Face Detection - Face Blurring</h4><p></p><br><h4>13. Real-time Facial Expression Detection - Installing Libraries</h4><p></p><br><h4>14. Real-time Facial Expression Detection - Implementation</h4><p></p><br><h4>15. Video Facial Expression Detection</h4><p></p><br><h4>16. Image Facial Expression Detection</h4><p></p><br><h4>17. Real-time Age and Gender Detection Introduction</h4><p></p><br><h4>18. Real-time Age and Gender Detection Implementation</h4><p></p><br><h4>19. Image Age and Gender Detection Implementation</h4><p></p><br><h4>20. Introduction to Face Recognition</h4><p></p><br><h4>21. Face Recognition Implementation</h4><p></p><br><h4>22. Realtime Face Recognition</h4><p></p><br><h4>23. Video Face Recognition</h4><p></p><br><h4>24. Face Distance</h4><p></p><br><h4>25. Face Landmarks Visualization</h4><p></p><br><h4>26. Multi Face Landmarks</h4><p></p><br><h4>27. Multi Face Landmarks from Real-time and Pre-saved Video</h4><p></p><br><h4>28. Face Makeup Using Face Landmarks</h4><p></p><br><h4>29. Real-time Face Makeup</h4><p></p>

Packt

Computer Vision

Python

This course is designed for beginners or anyone who wants to get started with Python-based face recognition. In this course, you will learn how to perform face detection from images, face detection from real-time videos, emotion detection, age-gender prediction, face recognition from images and real-time videos, and more!

Computer Vision: Face Recognition Quick Starter in Python

Data Analysis

Flask

Programming

Pandas

ChatGPT

This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.

Python A-Z: Learn Python by Building 15 Projects and ChatGPT

<strong>Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.</strong>
        <p>Unlock the power of deep learning and take your machine learning skills to the next level with our comprehensive course on deep neural networks.

This hands-on course will provide you with a solid understanding of the fundamentals of deep learning, including artificial neural networks, activation functions, bias, data, and loss functions. You will learn the basics of Python, with a focus on data science, as well as the essential tools for cleaning and examining data, plotting with Matplotlib, and working with NumPy and Pandas.

With this foundation in place, you will dive deep into the world of deep learning, starting with the MP Neuron model and progressing to the Perceptron, the Sigmoid Neuron, and the Universal Approximation Theorem. You will explore common activation functions, such as ReLU and SoftMax, and learn how to apply them in real-world applications.

Through a series of practical exercises, you will gain hands-on experience with TensorFlow 2.x, one of the most popular deep learning frameworks in use today. You will learn how to create and train deep neural networks, evaluate their performance, and fine-tune them for optimal results.

By the end of the course, you will be well on your way to becoming a deep learning expert in no time.</p>
        <h2>What You Will Learn</h2><p>Learn about the fundamentals of Python and some of its well-known libraries<br>Understand the fundamentals of deep learning and neural networks<br>Build and train your own deep neural network models<br>Learn different activation functions and optimization algorithms<br>Learn techniques for improving model performance and reducing overfitting<br>Apply deep learning to real-world problems in various fields</p>
        <h2>Audience</h2><p>This course is suitable for anyone interested in exploring the field of deep learning and building a solid foundation in artificial neural networks. No prior experience in programming or machine learning is required, making it an ideal starting point for beginners. It is ideal for students, professionals, and anyone who wants to enhance their skills and stay up-to-date with the latest developments in the field of artificial intelligence. Whether you are looking to kickstart your career or simply want to explore the exciting world of deep learning, this course is a great choice.</p>
        <h2>Approach</h2><p>The course adopts a practical, hands-on learning approach that focuses on building intuition and mastery through implementation. Students will work through a series of exercises and projects designed to help them understand the fundamental concepts of deep learning and develop their skills in Python programming, data analysis, and neural network design.</p>
        <h2>Key Features</h2><p>Practical hands-on exercises to build intuition on deep neural networks * Learn essential concepts in deep learning through practical applications * A comprehensive understanding of neural network architecture and design</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Deep-Learning---Crash-Course-2023</p>
        <h2>About the Author</h2><h3>Manifold AI Learning</h3><p>Manifold AI Learning is an online academy with the goal to empower students with the knowledge and skills that can be directly applied to solving real-world problems in data science, machine learning, and artificial intelligence.

With a curated curriculum and a hands-on guide, you will always be an industry-ready professional.</p>
        <h2>Course Outline</h2><h4>1. Welcome</h4><p></p><br><h4>1. Welcome on Board</h4><p></p><br><h4>2. Getting the Basics Right</h4><p></p><br><h4>3. Python Crash Course on Basics</h4><p></p><br><h4>4. Python for Data Science - Crash Course</h4><p></p><br><h4>5. MP Neuron Model</h4><p></p><br><h4>5. MP Neuron Model</h4><p></p><br><h4>6. MP Neuron in Python</h4><p></p><br><h4>7. Summary of MP Neuron</h4><p></p><br><h4>7. Summary of MP Neuron</h4><p></p><br><h4>8. Perceptron</h4><p></p><br><h4>9. Perceptron in Python</h4><p></p><br><h4>10. Sigmoid Neuron</h4><p></p><br><h4>11. Sigmoid Neuron Implement with Python</h4><p></p><br><h4>12. Basic Probability</h4><p></p><br><h4>12. Basic Probability</h4><p></p><br><h4>13. Why Deep Neural Networks - Intuition</h4><p></p><br><h4>13. Deep Neural Networks</h4><p></p><br><h4>14. Universal Approximation Theorem</h4><p></p><br><h4>15. Deep Learning with TensorFlow 2.x</h4><p></p><br><h4>16. Activation Functions in Deep Learning Neural Networks</h4><p></p><br><h4>17. Applying Deep Learning</h4><p></p>

Keras

Data Science

TensorFlow

Deep Learning

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.

Deep Learning - Crash Course 2023

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is intended for:<br />Network administrators<br />Network engineers with little or no programming or Python experience<br />Network managers<br />Systems engineers</p>Overview<p>After taking this course, you should be able to:<br />Create a Python script<br />Describe data types commonly used in Python coding<br />Describe Python strings and their use cases<br />Describe Python loops, conditionals, operators, and their purposes and use cases<br />Describe Python classes, methods, functions, namespaces, and scopes<br />Describe the options for Python data manipulation and storage<br />Describe Python modules and packages, their uses, and their benefits<br />Explain how to manipulate user input in Python<br />Describe error and exception management in Python<br />Describe Python code debugging methods</p><p>The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Introducing Programmability and Python for Network Engineers</li><li>Scripting with Python</li><li>Examining Python Data Types</li><li>Manipulating Strings</li><li>Describing Conditionals, Loops, and Operators</li><li>Exploring Classes, Methods, Functions, Namespaces, and Scopes</li><li>Exploring Data Storage Options</li><li>Exploring Python Modules and Packages</li><li>Gathering and Validating User Input</li><li>Analyzing Exceptions and Error Management</li><li>Examining Debugging Methods</li></ul></div>

Nexus Human

Cisco Certified Network Professional certification (CCNP)

CompTIA Network+

Network Engineer

Cisco Certified Entry Networking Technician (CCENT)

IT Networking Fundamentals

Computer Networking

Janets

Online Course Creation

Trainers Course

Python 3 Programming Course for Beginners

<p><strong>**Don't Spend More; Spend Smarter**</strong></p> <p><strong>Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Save Up To £4,169 and get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now</strong></p> <p>Give a compliment to your career and take it to the next level. This <strong>Software and Web Development </strong>will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate skills for your next promotion, this <strong>Software and Web Development </strong>will help you keep ahead of the pack.</p> <p>The <strong>Software and Web Development</strong> incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your expertise and essential knowledge, which will assist you in reaching your goal. Further, this <strong>Software and Web Development</strong> will add extra value to your resume to stand out to potential employers.</p> <p>Throughout the programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in this job sector. Consequently, you'll sharpen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the <strong>Software and Web Development,</strong> you can equip yourself with the essentials to keep you afloat in the competition.</p> <p>Along with this Software and Web Development course, you will get <strong>10 premium courses, an original</strong><strong>Hardcopy</strong>, <strong>11 PDF Certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p> <p><strong>This Software and Web Development Bundle Consists of the following Premium courses: </strong></p> <ul> <li><strong>Course 01: </strong>Angular 8 with Project</li><li><strong>Course 02: </strong>Ruby on Rails 5 - Become a Professional Developer</li><li><strong>Course 03: </strong>Intermediate Python Coding<strong><br /></strong></li><li><strong>Course 04: </strong>Hewlett Packard Application Life Cycle Management</li><li><strong>Course 05: </strong>Testing using SOAP UI</li><li><strong>Course 06: </strong>Android Studio Admob Integration: Start Showing Ads in Your Mobile App Today!</li><li><strong>Course 07: </strong>Monetize Your Mobile Game or App</li><li><strong>Course 08: </strong>Python Programming for Everybody</li><li><strong>Course 09: </strong>Coding with HTML, CSS, &amp; Javascript</li><li><strong>Course 10: </strong>Secure Programming of Web Applications</li><li><strong>Course 11:</strong> Master JavaScript with Data Visualization</li></ul> <p>As one of the top course providers in the UK, we're committed to providing you with the best educational experience possible. Our industry experts have designed the <strong>Software and Web Development</strong> to empower you to learn all at once with accuracy. You can take the course at your own pace - anytime, from anywhere.</p> <p>So, enrol now to advance your career!</p> <p><strong>Benefits you'll get choosing Apex Learning for this Software and Web Development:</strong></p> <ul> <li>Pay once and get lifetime access to 11 CPD courses</li><li>Free e-Learning App for engaging reading materials &amp; helpful assistance</li><li>Certificates, student ID for the title course included in a one-time fee</li><li>Free up your time - don't waste time and money travelling for classes</li><li>Accessible, informative modules designed by expert instructors</li><li>Learn at your ease - anytime, from anywhere</li><li>Study the course from your computer, tablet or mobile device</li><li>CPD accredited course - improve the chance of gaining professional skills</li></ul><p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul> <p>If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But with this special offer, Apex Learning is offering a<strong> Flat 50% discount </strong>on hard copy certificates, and you can get each for just <strong>£10</strong>!</p> <p>PS The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        130 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <p>Anyone from any background can enrol in this <strong>Software and Web Development </strong>bundle<strong>. </strong>Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future.</p> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>Our <strong>Software and Web Development </strong>is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G.</p> <p>There is no time limit for completing this course; it can be studied in your own time at your own pace.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Having this various expertise will increase the value of your CV and open you up to multiple job sectors.</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Angular 8 with Project</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p> <p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Apex Learning

Software and Web Development

<strong>In this compact intermediate-level course, you will learn how to use Facebook Prophet to do time series analysis and forecasting. You will learn how Prophet works under the hood and the Prophet API. We will apply Prophet to a variety of datasets, including store sales and stock prices.</strong>
        <p>Prophet enables Python and R developers to build scalable time series forecasts. This course will help you implement Prophet's cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code.

In this course, you will learn how to use Facebook Prophet to do time series analysis and forecasting. You will learn how the Prophet works under the hood (that is, what are its modeling assumptions?) and the Prophet API (that is, how to write the code).

This course is a practice-oriented course, demonstrating how to prepare your data for Prophet, fit a model, and use it to forecast, analyze the results, and evaluate the model's predictions. We will apply Prophet to a variety of datasets, including store sales and stock prices. You will learn how to use Prophet to plot the model's in-sample predictions and forecast. Then, learn how to plot the components of the fitted model. You will also learn how to deal with outliers, missing data, and non-daily (for example, monthly) data.

By the end of this course, you will be able to use Prophet confidently to forecast your data.</p>
        <h2>What You Will Learn</h2><p>Prepare your data (a Pandas dataframe) for Facebook Prophet<br>Learn how to fit a Prophet model to a time series<br>Plot the components of the fitted model<br>Model holidays and exogenous regressors<br>Evaluate your model with forecasting metrics<br>Learn how to do changepoint detection with Prophet</p>
        <h2>Audience</h2><p>Anyone interested in data science, machine learning, or who wishes to use time series analysis on their own data should take this course. Good Python programming skills are required, as well as knowledge of Pandas, Dataframes, and preferably some familiarity with Scikit-Learn, though this is not required.</p>
        <h2>Approach</h2><p>This course is a learn-by-doing course where you will learn how to prepare your data for Prophet, fit a model, and use it to forecast, analyze the results, and evaluate the model's predictions. The course is well-balanced with both theoretical and practical coding exercises. In each section, we first cover the theory concept and demonstrate it using a real-world example for better understanding.</p>
        <h2>Key Features</h2><p>Teaches how to make a forecast using Prophet * Explains how to use Prophet to predict stock prices * Covers how to use Prophet to plot the model's in-sample predictions and forecast</p>
        
        <h2>About the Author</h2><h3>Lazy Programmer</h3><p>The Lazy Programmer is an AI/ML engineer focusing on deep learning with experience in data science, big data engineering, and full-stack development. With a background in computer engineering and specialization in ML, he holds two master's degrees in computer engineering and statistics with finance applications. His online advertising and digital media expertise include data science and big data.

He has created DL models for prediction and has experience in recommender systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He is a web programmer with experience in Python, Ruby/Rails, PHP, and Angular.</p>
        <h2>Course Outline</h2><h4>1. Welcome</h4><p>Welcome to the course! In this section, we will get introduced to the course goals.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, we will introduce Facebook Prophet and understand the course learning objective.</p></td></tr><tr><td style='padding: 15px;'><p>2. Outline</p><p style='margin: 0'>In this video, we will understand the course learning approach and what is required to start with this course. Then we will also understand what is covered in this course.</p></td></tr></tbody></table><br><h4>2. Time Series Basics</h4><p>In this section, we will talk about time series basics.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Time Series Basics Section Introduction</p><p style='margin: 0'>In this video, we will get introduced to time series and understand some basics.</p></td></tr><tr><td style='padding: 15px;'><p>2. Forecasting Metrics</p><p style='margin: 0'>In this video, we will understand how to forecast metrics.</p></td></tr><tr><td style='padding: 15px;'><p>3. The Naive Forecast and the Importance of Baselines</p><p style='margin: 0'>In this video, we will discuss baselines and naïve forecast.</p></td></tr><tr><td style='padding: 15px;'><p>4. Walk-Forward Validation</p><p style='margin: 0'>In this video, we will discuss the concept of walk-forward validation.</p></td></tr><tr><td style='padding: 15px;'><p>5. Suggestion Box</p><p style='margin: 0'>In this video, we will take a look at the suggestion box where we can add feedback for this course.</p></td></tr></tbody></table><br><h4>3. Facebook Prophet</h4><p>In this section, we will explore Facebook Prophet.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How Does Prophet Work?</p><p style='margin: 0'>In this video, we will understand concepts behind Facebook Prophet and understand how it works.</p></td></tr><tr><td style='padding: 15px;'><p>2. Prophet: Code Preparation</p><p style='margin: 0'>In this video, we will go through the code structure for Prophet.</p></td></tr><tr><td style='padding: 15px;'><p>3. Prophet in Code: Data Preparation</p><p style='margin: 0'>In this video, we will work on data preparation with Prophet.</p></td></tr><tr><td style='padding: 15px;'><p>4. Prophet in Code: Fit, Forecast, Plot</p><p style='margin: 0'>In this video, you will learn how to fit, forecast, and plot our data.</p></td></tr><tr><td style='padding: 15px;'><p>5. Prophet in Code: Holidays and Exogenous Regressors</p><p style='margin: 0'>In this video, you will learn how to add holidays and exogenous regressors to our data.</p></td></tr><tr><td style='padding: 15px;'><p>6. Prophet in Code: Cross-Validation</p><p style='margin: 0'>In this video, you will learn how to do cross-validation with Prophet.</p></td></tr><tr><td style='padding: 15px;'><p>7. Prophet in Code: Changepoint Detection</p><p style='margin: 0'>In this video, you will learn how to detect changepoint with Prophet.</p></td></tr><tr><td style='padding: 15px;'><p>8. Prophet: Multiplicative Seasonality, Outliers, Non-Daily Data</p><p style='margin: 0'>In this video, we will work on multiplicative seasonality, outliers, and non-daily data with Prophet.</p></td></tr><tr><td style='padding: 15px;'><p>9. (The Dangers of) Prophet for Stock Price Prediction</p><p style='margin: 0'>In this video, we will work with Prophet for stock price prediction.</p></td></tr><tr><td style='padding: 15px;'><p>10. Prophet Section Summary</p><p style='margin: 0'>In this video, we will summarize what we have learnt in this section.</p></td></tr></tbody></table>

In this compact intermediate-level course, you will learn how to use Facebook Prophet to do time series analysis and forecasting. You will learn how Prophet works under the hood and the Prophet API. We will apply Prophet to a variety of datasets, including store sales and stock prices.

Data Science - Time Series Forecasting with Facebook Prophet in Python

<p><strong>Transform Your Career with Our IT: Data Analysis, Data Science &amp; Data Protection Program - an all-in-one Program Designed for Mastery!</strong></p><p>Do you know the demand for IT professionals with expertise in data science is skyrocketing? This Ultimate IT: Data Analysis, Data Science &amp; Data Protection Program is your gateway to a thriving career in this dynamic industry. This program is meticulously designed to equip you with the knowledge and skills demanded by hiring managers across various sectors. By enrolling in this IT: Data Analysis, Data Science &amp; Data Protection program, you'll embark on a journey that opens doors to exciting opportunities and empowers you to shape your future in the IT industry.</p><p>Our IT: Data Analysis, Data Science &amp; Data Protection program will give you a comprehensive understanding of data analysis, from data collection and preparation to data visualisation and communication. You will be equipped with the necessary skills and guidance to uncover insights from data, solve real-world problems, and make informed decisions. Also, you will discover the ethical and legal implications of data handling, how to protect sensitive information &amp; develop a career in this sector.</p><p>Moreover, we're your dedicated partners on this exciting journey. Our goal isn't just to teach you; it's to <strong>support you 24/7</strong> so you can get closer to your <strong>dream job</strong>. We're so confident with our program that we offer a <strong>100% money-back guarantee</strong>, ensuring your complete satisfaction.</p><p><strong>Learning Outcomes</strong></p><p>By completing this IT: Data Analysis, Data Science &amp; Data Protection program, you will gain expertise in the following:</p><ul><li>Data analysis techniques and methodologies.</li><li>Python programming for data analysis.</li><li>Business intelligence and data mining.</li><li>Advanced Excel techniques, including VBA and Power Query.</li><li>SQL programming and big data technologies.</li><li>Data Science &amp; Data Protection, Machine Learning with Python and R.</li><li>Data visualisation with tools like Tableau and Power BI.</li><li>Statistics and probability for data science.</li><li>Effective career development and job-seeking skills.</li><li>Design an engaging resume and excel in the job search.</li><li>Succeed in interviews, including video interviews.</li><li>Build a strong LinkedIn profile to connect with professionals and enhance your online visibility in IT: Data Analysis- Data Science &amp; Data Protection field.</li></ul><p><strong>Courses Included in the Program</strong></p><p>You get <strong>25 in-demand courses</strong> once you enrol in our IT: Data Analysis, Data Science &amp; Data Protection program.</p><ul><li><strong>=&gt; Course 01:</strong> Introduction to Data Analysis</li><li><strong>=&gt; Course 02:</strong> Data Analytics</li><li><strong>=&gt; Course 03:</strong> Python for Data Analysis</li><li><strong>=&gt; Course 04:</strong> Basic Google Data Studio</li><li><strong>=&gt; Course 05:</strong> Business Intelligence and Data Mining Masterclass</li><li><strong>=&gt; Course 06:</strong> Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>=&gt; Course 07:</strong> SQL Programming Masterclass</li><li><strong>=&gt; Course 08:</strong> SQL NoSQL Big Data and Hadoop</li><li><strong>=&gt; Course 09:</strong> Data Science &amp; Machine Learning with Python</li><li><strong>=&gt; Course 10:</strong> Machine Learning with Python</li><li><strong>=&gt; Course 11:</strong> Data Science &amp; Machine Learning with R</li><li><strong>=&gt; Course 12:</strong> Data Analytics with Tableau</li><li><strong>=&gt; Course 13:</strong> Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li><strong>=&gt; Course 14:</strong> Complete Introduction to Business Data Analysis Level 3</li><li><strong>=&gt; Course 15:</strong> Data Analysis in Microsoft Excel Complete Training</li><li><strong>=&gt; Course 16:</strong> Excel Data Analysis for Beginner</li><li><strong>=&gt; Course 17:</strong> GDPR Data Protection Level 5</li><li><strong>=&gt; Course 18: </strong>Master JavaScript with Data Visualization</li><li><strong>=&gt; Course 19:</strong> Data Visualization and Reporting with Power BI</li><li><strong>=&gt; Course 20:</strong> Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>=&gt; Course 21:</strong> Career Development Plan Fundamentals</li><li><strong>=&gt; Course 22:</strong> CV Writing and Job Searching</li><li><strong>=&gt; Course 23:</strong> Interview Skills: Ace the Interview</li><li><strong>=&gt; Course 24:</strong> Video Job Interview for Job Seekers</li><li><strong>=&gt; Course 25:</strong> How to Create a Professional LinkedIn Profile</li></ul><p>Enrol in our highly regarded IT: Data Analysis, Data Science &amp; Data Protection program, featuring a <strong>job-relevant curriculum</strong> that ensures your skills <strong>align with employer expectations</strong> across various sectors. Don't miss this opportunity - your success story starts now!</p><p>Our IT: Data Analysis, Data Science &amp; Data Protection Program is a comprehensive and industry-relevant journey through data analysis, data science, and IT analytics. With a focus on providing theoretical knowledge and academic depth, this program is your gateway to a promising career in IT: Data Analysis, Data Science &amp; Data Protection sector.</p><p><strong>Why Choose Us?</strong></p><p>We take great pride in offering you a great learning experience that stands out. When you consider enrolling in our IT: Data Analysis, Data Science &amp; Data Protection program, you're making a decision that will positively impact your career and knowledge in various aspects related to IT: Data Analysis, Data Science &amp; Data Protection. Here's why choosing us is a smart choice:</p><p><strong>Updated Materials: </strong>We're committed to providing the most up-to-date learning materials. Our dedicated team continuously reviews and updates our content, ensuring you're always learning from the latest sources. When you choose us, you select the most current and relevant information, giving you the edge in your IT career.</p><p><strong>Flexible Timing: </strong>We understand that life can get busy, and you may have existing commitments that can make pursuing further education challenging. That's why we offer flexibility in your study schedule. With our courses, you can learn at your own pace, on your terms. You're in control and can adjust your learning to fit your life.</p><p><strong>No Hidden Cost: </strong>When choosing our program, you won't incur additional expenses. The certification and course materials are all-inclusive within the program's price. You can focus on your studies without worrying about hidden fees.</p><p><strong>Money-Back Guarantee: </strong>Your satisfaction is our top priority. We're so confident in the quality of our courses that we back them up with a <strong>14-day </strong>money-back guarantee. We'll refund your investment if you're unsatisfied with your learning experience.</p><p><strong>Lifetime Access: </strong>When you choose to learn with us, you gain access to a course and a lifetime of knowledge. We offer lifetime access to our course materials, allowing you to revisit and refresh your knowledge whenever you need.</p><p><strong>24/7 Support: </strong>Learning doesn't just happen during traditional working hours; neither should support. Our commitment to your success extends beyond the classroom. We provide 24/7 support, so you can contact us with your questions and concerns anytime.</p><h2>
        
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                                        250 CPD hours / points
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        <div>Who is this course for?</div>
    </h2>

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                            <p>This IT: Data Analysis, Data Science &amp; Data Protection program is suitable for:</p><ul><li>Aspiring IT: Data Analysis, Data Science &amp; Data Protection professionals.</li><li>Students and recent graduates looking to enter the field.</li><li>Career changers interested in data analytics.</li><li>Security professionals seeking to upskill in data security.</li><li>Anyone interested in learning about IT: Data Analysis, Data Science &amp; Data Protection.</li></ul>
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        <div>Requirements</div>
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                            <p>No prior experience is required in our IT: Data Analysis, Data Science &amp; Data Protection program.</p>
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        <div>Career path</div>
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                            <p>Upon completing the program, you'll get edges in various IT: Data Analysis, data science &amp; data protection-related jobs including:</p><ul><li><strong>Data Analyst:</strong> £25,000 - £45,000</li><li><strong>Business Intelligence Analyst:</strong> £30,000 - £50,000</li><li><strong>Data Scientist:</strong> £35,000 - £60,000</li><li><strong>Machine Learning Engineer:</strong> £40,000 - £70,000</li><li><strong>SQL Developer:</strong> £30,000 - £55,000</li><li><strong>Tableau Developer:</strong> £35,000 - £60,000</li><li><strong>Power BI Developer:</strong> £35,000 - £60,000</li></ul>
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                                    <h4>CPD Accredited (e-Certificate)</h4>
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            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited (Hard Copy Certificate)</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>e-Transcript</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hard Copy Transcript</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
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                        </div>

Master IT: Data Analysis, Data Science & Data Protection Career Based Job Focused Program

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				<p><span>From automation to complex data analysis, Python is used in a wide range of tasks. Thus, to become a high-demand professional in the IT industry, you must build a solid foundation in this programming language. Our Python for Beginners is the perfect place to start enhancing your knowledge and skills in this area.</span></p><p><span>Through the comprehensive course, you will get a primary understanding of Python. The informative modules will help you understand the data types and data structure. You will receive detailed lessons on control flow and operators. After that, the modules will equate you to the basics of Python arrays, iterators and generators. Finally, you will get a clear understanding of the functions and file manipulation.</span></p><p><span>After the completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. </span></p>					</div>
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				<ul><li><span>Introduce yourself to the basics of Python </span></li><li><span>Familiarise yourself with the data types and operators </span></li><li><span>Enhance your understanding of data structures and control flow</span></li><li><span>Explore the vital areas of Python arrays, iterators and generators </span></li><li><span>Develop a clear understanding of functions and file manipulation </span></li></ul>					</div>
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			<h2><div><span><b>Why Take This Course From John Academy?
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				<ul><li><span>Affordable, well-structured and high-quality e-learning study materials</span></li><li><span>Engaging tutorial videos, materials from the industry-leading experts</span></li><li><span>Opportunity to study in a user-friendly, advanced online learning platform</span></li><li><span>Efficient exam systems for the assessment and instant result</span></li><li><span>Earn UK &amp; internationally recognised accredited qualification</span></li><li><span>Easily access the course content on mobile, tablet, or desktop from anywhere, anytime</span></li><li><span>Excellent career advancement opportunities</span></li><li><span>Get 24/7 student support via email.</span></li></ul>					</div>
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Who Should Take This Python for Beginners Course?
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				<p><span>Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge.</span></p>					</div>
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				<p><span>Thi</span><span>s Python for Beginners is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful.</span></p>					</div>
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				<p></p><h3><b>Certificate of Achievement </b></h3>
    <p> After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates &amp; Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99.</p><p></p>					</div>
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				<p><span>This exclusive Python for Beginners will equip you with effective skills and abilities and help you explore career paths such as </span></p><ul><li><span>Web Developer</span></li><li><span>Data Analyst </span></li><li><span>Software Developer </span></li><li><span>Game Developer</span></li></ul>					</div>
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					<td colspan="4">Course Introduction</td>
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					<td>Python for Beginners Introduction</td>
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					<td><span><i></i> 00:01:00</span></td>
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					<td colspan="4">Module 01: Getting Started with Python</td>
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					<td>Why Learn Coding</td>
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					<td>Gearing Up Linux Machine For Python Programming</td>
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					<td>Gearing Up The Macos For Python Programming</td>
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					<td colspan="4">Module 02: Data Types and Operators</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Correct Variable Names</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td>Integer Float And Complex Numbers In Python</td>
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					<td><span><i></i> 00:11:00</span></td>
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					<td>Boolean Comparison Operator And Logical Operator</td>
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					<td><span><i></i> 00:20:00</span></td>
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					<td>Strings In Python</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>Type And Type Casting</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>String Methods In Python</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Taking Input From User</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exercise 1</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Data Structures</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Lists In Python</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Necessitites In List</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>List Methods</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tuples In Python</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sets In Python</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Dictionary, Mutable, Accessing Items</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Dublicates, Constructor And Data Types In Dictionary</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Access And Add Items In Dictionaries</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Nested Dictionaries And Dictionary Methods</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exercise 2</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Control Flow</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Conditional Statements</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Short Hand If Else</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Nested If</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>For Loops</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>While Loops In Python</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>While Vs For Loop</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Break Continue Statment</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Try And Except</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exercise 3</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Functions</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Intro To Functions</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Arguments, Parameters And Multiple Arguments</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Arbitrary Arguments, Keyword Arguments, Arbitrary Keyword Arguments</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Default Parameter Value And Passing A List As Parameters</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Return Values And Pass Statements</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exercise 4</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Python Arrays, Iterators and Generators</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Array, Length Of Array, Accessing Elements Of Array</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Adding, Removing Elements In Array, Array Methods</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Iterator In Python</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generators In Python</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exercise 5</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: File Manipulation</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>File Hancdling And Syntax</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Reading The File, Line Extraction And Parsing</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Appending And Writing The Files In Python</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create And Delete A File</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Certificate and Transcript</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

John Academy

Programming Fundamentals

Computer Programming

Python for Beginners

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

<div>
							<div>
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			<h2><b>Course Overview</b></h2>		</div>
				</div>
				<div>
				<div>
					<div><p><span>Are you looking to secure a career in Python programming or software engineering?</span></p><p><span>The</span><b> Python Programming</b><span> course will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through audiovisual training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will teach you how to get set up on Mac OS X, Linux, and Ubuntu, best practices for string formatting, handling exceptions, and much more.</span></p><p><span>This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro.</span></p></div>
				</div>
				</div>
				<div>
				<div>
					<div><p>This best selling <strong>Python Programming </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Python Programming </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Python Programming </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Python Programming </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Python Programming</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Python Programming </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Python Programming </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Redhill

<h3><b>Complete Python training course description</b></h3>
        <p> Python is an agile, robust, expressive, fully objectoriented,
          extensible, and scalable programming
          language. It combines the power of compiled
          languages with the simplicity and rapid development of
          scripting languages. This course covers Python from
          the very basics of 'hello world!' through to object
          oriented programming and advanced topics such as
          multi threading. Hands on follows all the major sections
          in order to reinforce the theory.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	    <li>Read Python programs.</li>
        <li>Write Python programs.</li>
        <li>Debug Python programs.</li>
        <li>Use Python's objects and memory model as well as
          its OOP features.</li>
        </ul>
        <h5>
        <b>Complete Python programming training course details</b></h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
               <p>Anyone wishing to learn Python. </p>
              
							<li><b>Prerequisites:</b></li>
							
             <p> None. </p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
             
              
						</ul>
					</div>
				</div>
       <h3><b>Complete Python programming training course contents</b></h3>
      <ul>
        <li>Welcome to Python: </li>
        <p> What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. </p>
        <li>Getting started: </li>
        <p> Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. </p>
        <li>Python basics: </li>
        <p> Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. </p>
        <li>Python Objects: </li>
        <p> Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. </p>
        <li>Numbers: </li>
        <p> Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. </p>
        <li>Sequences: strings, lists, and tuples: </li>
        <p> Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. </p>
        <li>Mapping and set types: </li>
        <p> Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. </p>
        <li>Conditionals and loops: </li>
        <p> If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. </p>
        <li>Files and input/output: </li>
        <p> File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. </p>
        <li>Errors and exceptions: </li>
        <p> What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. </p>
        <li>Functions: </li>
        <p> Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. </p>
        <li>Modules: </li>
        <p> Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. </p>
        <li>Object-Oriented Programming (OOP): </li>
        <p> Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. </p>
        <li>Execution environment: </li>
        <p> Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. </p>
        <li>Regular expressions: </li>
        <p> Special symbols and characters, REs and Python, Regular expressions example. </p>
        <li>Network programming: </li>
        <p> Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. </p>
        <li>Internet client programming: </li>
        <p> What are internet clients? Transferring files, Network news, E-mail. </p>
        <li>Multithreaded Programming: </li>
        <p> Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. </p>
        <li>GUI programming: </li>
        <p> Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. </p>
        <li>Web programming: </li>
        <p> Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. </p>
        <li>Database programming: </li>
        <p> Python database application programmer's interface (DB-API), ORMs. </p>
        <li>Miscellaneous </li>
        <p> Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.</p>
      </ul>

Systems & Network Training

Network & Security

Complete Python programming

<strong>Learn Python programming by developing robust GUIs and games</strong>
        <p>Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners</p>
        <h2>What You Will Learn</h2><p>Build simple Python-based games using programming loops and functions<br>Draw graphics using the Python module Turtle<br>Develop Python graphical user interfaces with Tkinter<br>Understand how to work with Python 2 and 3<br>Use the in-built Python modules for your projects<br>Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages</p>
        <h2>Audience</h2><p>If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.</p>
        <h2>Approach</h2><p>The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.</p>
        <h2>Key Features</h2><p>Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Project Based Python Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Course & Me</p><p style='margin: 0'>Introduction to Project Based Python Programming: Introduction to the Course & Me</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Installation for Windows</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Installation for Other OS</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Other OS</p></td></tr><tr><td style='padding: 15px;'><p>4. Online Python IDLE</p><p style='margin: 0'>Introduction to Project Based Python Programming: Online Python IDLE</p></td></tr><tr><td style='padding: 15px;'><p>5. Hello World in Python</p><p style='margin: 0'>Introduction to Project Based Python Programming: Hello World in Python</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Coding with Visual Studio</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Coding with Visual Studio</p></td></tr><tr><td style='padding: 15px;'><p>7. Some Common Python Terms</p><p style='margin: 0'>Introduction to Project Based Python Programming: Some Common Python Terms</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Introduction to Project Based Python Programming: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Diving into the Python Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Arithmetic in Python</p><p style='margin: 0'>Diving into the Python Basics: Basic Arithmetic in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Welcome to the World of Data Types</p><p style='margin: 0'>Diving into the Python Basics: Welcome to the World of Data Types</p></td></tr><tr><td style='padding: 15px;'><p>3. Random Number Generation</p><p style='margin: 0'>Diving into the Python Basics: Random Number Generation</p></td></tr><tr><td style='padding: 15px;'><p>4. Working With Strings</p><p style='margin: 0'>Diving into the Python Basics: Working With Strings</p></td></tr><tr><td style='padding: 15px;'><p>5. Get User Inputs</p><p style='margin: 0'>Diving into the Python Basics: Get User Inputs</p></td></tr><tr><td style='padding: 15px;'><p>6. Tuples</p><p style='margin: 0'>Diving into the Python Basics: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>7. Lists</p><p style='margin: 0'>Diving into the Python Basics: Lists</p></td></tr><tr><td style='padding: 15px;'><p>8. Dictionaries</p><p style='margin: 0'>Diving into the Python Basics: Dictionaries</p></td></tr><tr><td style='padding: 15px;'><p>9. Defining our Own Functions in Python-Basic</p><p style='margin: 0'>Diving into the Python Basics: Defining our Own Functions in Python-Basic</p></td></tr><tr><td style='padding: 15px;'><p>10. Some More On Functions</p><p style='margin: 0'>Diving into the Python Basics: Some More On Functions</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusions to Section 2</p><p style='margin: 0'>Diving into the Python Basics: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Decision Making with Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rationale for this section</p><p style='margin: 0'>Decision Making with Programming: Rationale for this section</p></td></tr><tr><td style='padding: 15px;'><p>2. if-else loops</p><p style='margin: 0'>Decision Making with Programming: if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>3. elif in if-else loops</p><p style='margin: 0'>Decision Making with Programming: elif in if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>4. while loop</p><p style='margin: 0'>Decision Making with Programming: while loop</p></td></tr><tr><td style='padding: 15px;'><p>5. for loop</p><p style='margin: 0'>Decision Making with Programming: for loop</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Loops</p><p style='margin: 0'>Decision Making with Programming: More on Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Nested For Loop</p><p style='margin: 0'>Decision Making with Programming: Nested For Loop</p></td></tr><tr><td style='padding: 15px;'><p>8. Build a Number Guessing Game!!-Basic</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Basic</p></td></tr><tr><td style='padding: 15px;'><p>9. Build a Number Guessing Game!!-Advanced</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Advanced</p></td></tr><tr><td style='padding: 15px;'><p>10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p><p style='margin: 0'>Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusion to Section 3</p><p style='margin: 0'>Decision Making with Programming: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Graphics with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working With Graphics in Python</p><p style='margin: 0'>Graphics with Python: Working With Graphics in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Draw a Square</p><p style='margin: 0'>Graphics with Python: Draw a Square</p></td></tr><tr><td style='padding: 15px;'><p>3. The Idea Behind Angles</p><p style='margin: 0'>Graphics with Python: The Idea Behind Angles</p></td></tr><tr><td style='padding: 15px;'><p>4. Draw a Rectangle Using Loops</p><p style='margin: 0'>Graphics with Python: Draw a Rectangle Using Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. Create a Rectangle Function</p><p style='margin: 0'>Graphics with Python: Create a Rectangle Function</p></td></tr><tr><td style='padding: 15px;'><p>6. Code Along1: Draw an Equilateral Triangle</p><p style='margin: 0'>Graphics with Python: Code Along1: Draw an Equilateral Triangle</p></td></tr><tr><td style='padding: 15px;'><p>7. Code Along2: Draw an Equilateral Triangle With Loops</p><p style='margin: 0'>Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Code an Irregular Shape: Start a Snowflake</p><p style='margin: 0'>Graphics with Python: Code an Irregular Shape: Start a Snowflake</p></td></tr><tr><td style='padding: 15px;'><p>9. Snowflakes!!</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 4</p><p style='margin: 0'>Graphics with Python: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. GUI Programming with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Start with GUIs in Python</p><p style='margin: 0'>GUI Programming with Python: Start with GUIs in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Create a Simple Button With tkinter</p><p style='margin: 0'>GUI Programming with Python: Create a Simple Button With tkinter</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Functionality to the Button</p><p style='margin: 0'>GUI Programming with Python: Add Functionality to the Button</p></td></tr><tr><td style='padding: 15px;'><p>4. The Tkinter Grid</p><p style='margin: 0'>GUI Programming with Python: The Tkinter Grid</p></td></tr><tr><td style='padding: 15px;'><p>5. Common Tkinter GUI Widgets</p><p style='margin: 0'>GUI Programming with Python: Common Tkinter GUI Widgets</p></td></tr><tr><td style='padding: 15px;'><p>6. Canvas for Drawing-part1</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part1</p></td></tr><tr><td style='padding: 15px;'><p>7. Canvas for Drawing-part2</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part2</p></td></tr><tr><td style='padding: 15px;'><p>8. Simple Expression Evaluator</p><p style='margin: 0'>GUI Programming with Python: Simple Expression Evaluator</p></td></tr><tr><td style='padding: 15px;'><p>9. Start With the Temperature Conversion App</p><p style='margin: 0'>GUI Programming with Python: Start With the Temperature Conversion App</p></td></tr><tr><td style='padding: 15px;'><p>10. Complete the App-1</p><p style='margin: 0'>GUI Programming with Python: Complete the App-1</p></td></tr><tr><td style='padding: 15px;'><p>11. Complete the App-2</p><p style='margin: 0'>GUI Programming with Python: Complete the App-2</p></td></tr></tbody></table>

Learn Python programming by developing robust GUIs and games

Project-Based Python Programming For Kids and Beginners

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Skill Up

Get ready for a comprehensive Python programming journey! Master the fundamentals, tackle advanced concepts, and build real-world projects. Join now!

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100 CPD hours / points  Accredited by CPD Quality Standards
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 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
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Enrolment Letter
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Career Development

IT Certifications

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        <div>CPD</div>
    </h2>

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                                        40 CPD hours / points
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                                            Accredited by CPD Quality Standards
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                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>IT professionals looking to enhance their Python programming skills</li><li>Students interested in pursuing a career in data science or machine learning</li><li>Entrepreneurs looking to build tech products and solutions</li><li>Anyone interested in learning more about Python and its applications in the tech industry</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Python Developer: £30,000 - £70,000 per year</li><li>Data Analyst: £22,000 - £50,000 per year</li><li>Machine Learning Engineer: £35,000 - £100,000 per year</li><li>Full-Stack Developer: £25,000 - £75,000 per year</li><li>Software Engineer: £30,000 - £80,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

One Education

Python Programming Bundle (QLS) Course

<strong>Learn Python Programming using a Step By Step Approach with 200+ code examples.</strong>
        <p>Python is one of the most popular programming languages. Python offers both object-oriented and structural programming features. We love Programming. Our aim with this course is to create a love for Programming. 
In more than 150 Steps, we explore the most important Python Programming Language Features
??Basics of Python Programming - Expressions, Variables, and Printing Output
??Python Operators - Python Assignment Operator, Relational and Logical Operators, Short Circuit Operators
??Python Conditionals and If Statement
??Methods - Parameters, Arguments and Return Values
??An Overview Of Python Platform
??Object-Oriented Programming - Class, Object, State and Behavior
??Basics of OOPS - Encapsulation, Inheritance and Abstract Class.
??Basics about Python Data Types
??Basics about Python Built-in Modules
??Conditionals with Python - If Else Statement, Nested If Else
??Loops - For Loop, While Loop in Python, Break and Continue
??Immutablity of Python Basic Types
??Python Data Structures - List, Set, Dictionary and Tuples
??Introduction to Variable Arguments
??Basics of Designing a Class - Class, Object, State and Behavior. Deciding State and Constructors.
??Introduction to Exception Handling - Your Thought Process during Exception Handling. try, except, else and finally. Exception Hierarchy. Throwing an Exception. Creating and Throwing a Custom Exception.
All the code and supporting files for this course are available at: https://github.com/PacktPublishing/Python-Programming-for-Beginners---Learn-in-100-Easy-Steps
</p>
        <h2>What You Will Learn</h2><p>You will learn Python the modern way - Step By Step - with 200 hands-on Code Examples<br>You will understand the best practices in writing high-quality Pythonic Code<br>You will solve a Wide Range of Hands-on Programming exercises with Python<br>You will learn to Write awesome Object-Oriented Programs with Python<br>You will acquire all the Python Skills needed to transition into Analytics, Machine Learning and Data Science Roles<br>You will Acquire all the SKILLS to demonstrate an EXPERTISE with Python Programming in Your Job Interviews<br>You will learn about a wide variety of Python Data Structures - List, Set, Dictionary and Tuples<br>You will learn the basics of PyCharm IDE and Python Shell<br>You will learn how to think as a Python Programmer<br>You will learn the basics of programming - variables, choosing a data type, conditional execution, loops, writing great methods, breaking down problems into subproblems and implementing exception handling.<br>You will learn the basics of Object Oriented Programming - Inheritance, Abstract Class and Constructors<br>You will learn the important concepts of Object Oriented Programming - Abstraction and Inheritance</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn Programming with Python. You want to automate things with Python.</p>
        <h2>Approach</h2><p>We take a hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 150 Python Coding Exercises, Puzzles and Code Examples.</p>
        <h2>Key Features</h2><p>The course is amazing, the instructor has good knowledge in the field  * This course can be viewed with zero Python Programming Experience</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming-for-beginners---learn-in-100-easy-steps</p>
        <h2>About the Author</h2><h3>In28Minutes Official</h3><p>	Ranga Karanam is a seasoned technologist and architect with over two decades of expertise in programming, design, and architecture. He founded in28Minutes with the goal of helping students master cutting-edge cloud-native technologies such as AWS, Azure, Google Cloud, Docker, and Kubernetes. With 15 years of experience in Java programming and design, Ranga has collaborated with top banking clients worldwide.

His passion for creating hands-on courses with real-world projects motivated him to develop the Step-By-Step series of courses that follow a problem-solution-based approach, with practical and real-world application examples.

Ranga and his team at in28Minutes specialize in Java and related frameworks such as Spring, Spring Boot, Spring MVC, Struts, and Hibernate. They are committed to equipping learners with the skills and knowledge necessary to succeed in today's rapidly evolving technology landscape.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Introduction to Python Programming With Multiplication Table</h4><p></p><br><h4>3. Introduction to Methods - Multiplication Table</h4><p></p><br><h4>4. Introduction to Python Platform</h4><p></p><br><h4>5. Introduction to PyCharm</h4><p></p><br><h4>6. Basic Numeric Data Types and Conditional Execution</h4><p></p><br><h4>7. Text in Python</h4><p></p><br><h4>8. Python Loops</h4><p></p><br><h4>9. Python Tips for Beginners</h4><p></p><br><h4>10. Introduction to Object Oriented Programming</h4><p></p><br><h4>11. Python Data Structures</h4><p></p><br><h4>12. Object Oriented Programming Again</h4><p></p><br><h4>13. Error Handling with Python</h4><p></p><br><h4>14. A Few More Python Tips</h4><p></p><br><h4>15. Thank You and Congratulations</h4><p></p>

Learn Python Programming using a Step By Step Approach with 200+ code examples.

Python Programming for Beginners - Learn in 100 Easy Steps

<h3><b>Overview</b></h3><p><span>With the ever-increasing demand for Python Programming  in personal &amp; professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Python Programming  may be.</span></p><p><span>Learning about Python Programming  or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Python Programming . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Python Programming  is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.</span></p><p><span>The self-paced online learning methodology by compete high in this Python Programming  course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!</span></p><p><span>Instead of searching for hours, enrol right away on this Python Programming  course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.</span></p><h3><b>Who is this course for?</b></h3><p><span>While we refrain from discouraging anyone wanting to do this Python Programming  course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:</span></p><ol><li><span>Anyone looking for the basics of Python Programming ,</span></li><li><span>Jobseekers in the relevant domains,</span></li><li><span>Anyone with a ground knowledge/intermediate expertise in Python Programming ,</span></li><li><span>Anyone looking for a certificate of completion on doing an online training on this topic,</span></li><li><span>Students of Python Programming , or anyone with an academic knowledge gap to bridge,</span></li><li><span>Anyone with a general interest/curiosity</span></li></ol><h3><b>Career Path</b></h3><p><span>This Python Programming  course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. </span></p><p> </p><div><div><div><h3>
Course Curriculum</h3><div><div><h4>
Module-1-Introduction-to-Python.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Introduction-to-Python.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-2-Variables.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Variables.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-3-Conditional-Statement.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Conditional-Statement.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-4-Loops.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Loops.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-5-Functions.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Functions.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-6-Objects.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Objects.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div></div></div></div></div>

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