Name: Complete Python Scripting for Automation
Price: 13.99 GBP
Availability: InStock

<strong>Explore the quick and easy way to learn the MySQL Database with Python</strong>
        <p>Today databases are highly valued as they allow users to effectively manage, access, and update data. MySQL is one of the most popular databases and has a wide variety of applications in e-commerce, data warehousing, and website management. When combined with Python, one of the most popular and powerful programming languages today, you'll be able to manage data efficiently and systematically.

In this course, you'll get started by understanding the basics of using MySQL with Python. You'll learn how to install MySQL and Python, before going on to develop databases. In addition to this, you'll explore the technique of creating tables for safely storing data. The course will then guide you on how to add, sort, and retrieve data through functions such as INSERT, ORDER BY, and SELECT. As you progress, you'll be equipped with the knowledge of inserting a single record as well as multiple records into a table. Toward the end, you will discover clauses such as WHERE and LIKE, and later learn to update records.

By the end of this course, you will have learned how to confidently use Python with MySQL for your database management needs.  

All code files are placed at https://github.com/PacktPublishing/Using-MySQL-Databases-With-Python</p>
        <h2>What You Will Learn</h2><p>Get up to speed with the working of a database<br>Understand how to install Python, MySQL, Git Bash, and MySQL Connector<br>Work through creating a table<br>Explore how to connect to a database in Python<br>Update and delete data from the database<br>Discover the technique of inserting a single record as well as multiple records into a table<br>Create basic reports with the data from your database</p>
        <h2>Audience</h2><p>This course is for anyone who wants to use the MySQL Database with Python. Although a basic understanding of Python programming is required, knowledge of databases or MySQL is not necessary.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, working examples, and helpful advice.</p>
        <h2>Key Features</h2><p>Learn to use MySQL databases with Python * Get to grips with adding, sorting and pulling specific data</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/using-mysql-databases-with-python</p>
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. What is a Database</h4><p></p><br><h4>3. Install Python</h4><p></p><br><h4>4. Install Git Bash Terminal</h4><p></p><br><h4>5. Download MySQL</h4><p></p><br><h4>6. Install MySQL and Workbench</h4><p></p><br><h4>7. Install MySQL Connector</h4><p></p><br><h4>8. Connect to Database in Python</h4><p></p><br><h4>9. Explore MySQL Workbench</h4><p></p><br><h4>10. Create a Database</h4><p></p><br><h4>11. Create a Table</h4><p></p><br><h4>12. Insert One record into table</h4><p></p><br><h4>13. Insert Many records into Table</h4><p></p><br><h4>14. Understanding Data Types</h4><p></p><br><h4>15. Select Data from Table</h4><p></p><br><h4>16. Format our results</h4><p></p><br><h4>17. The Where Clause</h4><p></p><br><h4>18. Using AND and OR</h4><p></p><br><h4>19. The Like Clause and Wild cards</h4><p></p><br><h4>20. Updating Records</h4><p></p><br><h4>21. Limit and Ordering</h4><p></p><br><h4>22. Delete Records</h4><p></p><br><h4>23. Delete (Drop) a Table and Backups</h4><p></p>

Packt

Database Programming

Python

MySQL

Explore the quick and easy way to learn the MySQL Database with Python

Using MySQL Databases with Python

General Admission

Postman

Programming

Learn about automated software testing with Python, BDD, Selenium WebDriver, and Postman, focusing on web applications

Automated Software Testing with Python

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					<div><p>Have you ever envisioned molding digital worlds with just lines of code, but felt lost about where to begin? Enter Python For Beginners Part 1 Course, your gateway to the digital realm. Every epic saga has its genesis, and in the world of programming, this course is yours. With Module 01, you'll be introduced to the very essence of Python, laying a robust foundation for what's to come.</p><p>Python is one of the most in-demand programming languages in the world today, and for good reason. It's easy to learn, powerful, and versatile. Whether you want to build websites, create data science applications, or automate tasks, Python can help you do it.</p><p>By Module 02, you won't just be learning about Python, you'll be actively crafting with it, initiating your first Python scripts. It's one thing to know a language, but entirely another to converse fluently. Modules 03 and 04 are all about that fluency. Here, you'll decipher the language of Data Types and Operators, and understand the art of organizing with Data Structures. These modules ensure you're not just coding, but conversing, making your digital canvas come alive.</p><p>However, what's an artist without control over their palette? Module 05, focusing on Control Flow, gives you the reins to guide your program's direction. Just as a river's flow is directed by its banks, with control flow, you decide where your program's logic flows. By the end, you won't just be a passive observer but an active creator, shaping digital landscapes and setting forth on an unforgettable coding adventure.</p><p>Enrol in the Python For Beginners Part 1 Course and boost up your skills!</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Gain proficiency in Python programming language.</span>
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										<span>Master basic to advanced Python concepts and syntax.</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Module 01: Introduction to the Python for Beginners Course</strong></td>
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					<td>Introduction to the Python for Beginners Course</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Module 02: Getting Started with Python</strong></td>
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					<td>Getting Started with Python</td><td><span>🕐 00:53:00</span></td>
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					<td colspan="4"><strong>Module 03: Data Types and Operators</strong></td>
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					<td>Data Types and Operators</td><td><span>🕐 01:54:00</span></td>
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					<td colspan="4"><strong>Module 04: Data Structures</strong></td>
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					<td>Data Structures</td><td><span>🕐 01:59:00</span></td>
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					<td colspan="4"><strong>Module 05: Control Flow</strong></td>
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					<td>Control Flow</td><td><span>🕐 01:14:00</span></td>
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Skill Up

Dip yourself in the dynamic world of Python programming with our Python for Beginners Online Course. Master Python's key concepts, its syntax, data types, and much more.

Python For Beginners Part 1

<strong>Learn database-driven web development with Django and Python</strong>
        <p>Django and Python may seem challenging at first, but with the right guidance, you can gain the confidence to work with them effectively.  In this course, you'll learn through a step-by-step manner, quickly and easily, and also be able to create professional looking websites, even if you have no programming or web design experience.

You'll watch and learn as the instructor demonstrates how to build a cool to-do list app. You can follow the instructions and even build your own version of the app. After building the web app, you can make lists and even save them to a database. You can then update the list as you complete the tasks by crossing them off the list. The course will also help you focus on styling the website using the popular Bootstrap CSS framework.

By the end of this course, you'll have a strong understanding of Django and the skills to use it for building interactive web apps.

All code files are placed at https://github.com/PacktPublishing/Python-Django-Web-Development-To-Do-App/</p>
        <h2>What You Will Learn</h2><p>Get up to speed with the fundamentals of Django<br>Understand how to build database-driven websites with Django<br>Download and install Python and Django<br>Get to grips with managing URLs<br>Discover how to create views/pages<br>Learn to use static image files<br>Gain useful insights into using templates<br>Understand how to use databases with Django</p>
        <h2>Audience</h2><p>This course is aimed at beginners or anyone who wants to learn how to build websites with Django and Python.</p>
        <h2>Approach</h2><p>This course is designed to guide you through developing websites with Django and Python from scratch. It covers not only theory but also the implementation with practical examples.</p>
        <h2>Key Features</h2><p>Use the Sublime editor to build a Django app from scratch with the help of practical examples * Learn basic CSS with Bootstrap 4.1</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-django-web-development-to-do-app</p>
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. Setting Up The Development Environment</h4><p></p><br><h4>2. Creating The Django App Basics</h4><p></p><br><h4>3. Django and Databases</h4><p></p>

Web Development

Learn database-driven web development with Django and Python

Python Django Web Development: To-Do App

<strong>Learn Python and build & deploy a real estate application using the Django framework & PostgreSQL</strong>
        <p>This is a very practical course where we take a list of requirements from a fictional company to build a real estate application using Django. We will take a basic html/css Bootstrap 4 theme and turn it into a real working application with an admin area to manage resources including property listings, realtors and contact inquiries. We also have a section on learning basic Python syntax
What You Will Learn:
Basic Python (lists, dictionaries, functions, conditionals, etc)
Setup Virtual Environments
Install & configure Django
Create Django "apps"
Postgres Setup (local and remote)
Schema planning, models & migration
Admin Customization
Bootstrap integration
Full search functionality
User Authentication
Deploy to Digital Ocean with Gunicorn & Nginx
All the code and supporting files for this course are available at: 
https://github.com/PacktPublishing/Python-Django-Dev-To-Deployment</p>
        <h2>What You Will Learn</h2><p>Learn Python and it s core fundamental syntax<br>Build a real estate application using the Django framework & Postgres<br>Learn about apps, templates, models & migrations, admin customization & more<br>Build virtual environments and deploy using Gunicorn and Nginx</p>
        <h2>Audience</h2><p>This course is for beginner Python developers that want to build a practical, real-world project using the Django framework</p>
        <h2>Approach</h2><p>An exhaustive course packed with step-by-step instructions, working examples, and helpful advice. This course is divided into clear chunks so you can learn at your own pace and focus on your own area of interest<br></p>
        <h2>Key Features</h2><p>Basic web development (HTML, Basic Programming fundamentals)</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-django-dev-to-deployment</p>
        <h2>About the Author</h2><h3>Brad Traversy</h3><p>Brad Traversy has been programming for around 12 years and teaching for almost 5 years. He is the owner of Traversy Media, which is a successful web development YouTube channel and specializes in everything from HTML5 to front-end frameworks such as Angular as well as server-side technologies such as Node.js, PHP, and Python. Brad has mastered explaining overly complex topics in a simple manner that is understandable. Invest in your knowledge by watching Brad's courses.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Getting Setup</h4><p></p><br><h4>3. Python Language Fundamentals (Optional)</h4><p></p><br><h4>4. Project Specs & Getting Started</h4><p></p><br><h4>5. Apps, URLs & Templates</h4><p></p><br><h4>6. Models, Migrations & Admin</h4><p></p><br><h4>7. View Methods, Display & Search</h4><p></p><br><h4>8. Accounts & Authentication</h4><p></p><br><h4>9. Contact Inquiries</h4><p></p><br><h4>10. Django Deployment</h4><p></p>

PostgreSQL

Learn Python and build & deploy a real estate application using the Django framework & PostgreSQL

Python Django Dev To Deployment

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">The Python Certification - Beginner to Expert course is a comprehensive educational journey designed to transform students from novices into proficient Python programmers. Python&#39;s popularity in the digital era stems from its simplicity, versatility, and broad applicability across various domains, making it an ideal language for individuals starting their programming journey or those looking to enhance their existing skills.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">This meticulously structured course is divided into 18 detailed sections, each focusing on a specific aspect of Python programming. It begins with the fundamentals, such as setting up the programming environment and writing simple "Hello World" scripts, and progresses through more complex topics like database management and task automation. The curriculum is designed to be sequential, ensuring a smooth transition from basic concepts to advanced programming techniques.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">In addition to the rich curriculum, students benefit from the expertise of seasoned instructors and the support of an engaged online community. These resources are invaluable for overcoming challenges and fostering a collaborative learning environment.&nbsp;</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">The Python Certification - Beginner to Expert course is more than just a programming class; it&#39;s a gateway to the tech industry and a stepping stone for personal and professional growth in the digital age. Whether one&#39;s goal is to secure a dream job, advance in their career, or simply broaden their technical skill set, this course lays the groundwork for a successful future in technology.</span></p><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Learning Outcome of Python Certification - Beginner to Expert&nbsp;</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Master the fundamentals of Python programming from installation to advanced concepts.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Develop proficiency in writing code using Python syntax and data structures.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Understand conditional branching, exception handling, and file manipulation in Python.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Explore advanced topics such as sending emails, working with databases, and scheduling tasks.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Gain hands-on experience in coding through practical exercises and projects.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Acquire the necessary skills to advance your career or pursue further studies in Python programming.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Key Features of the Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">A CPD certificate that is recognised worldwide.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">A great online learning experience.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Interesting and unique online materials and activities.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Expert guidance and support from the field leaders.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Access to the study resources anytime you want.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Friendly and helpful customer service and admin support by email, phone, and chat from Monday through Friday.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Get a year-long access to the course.</span></li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Topics Covered in This Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to Python Programming</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Getting Started With Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Conditional Branching With Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Importing External/Internal Library In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Project Rock Paper And Scissors</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Strings Operation In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Date And Time In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">File Handling, Read And Write Using Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Storage Structures: Tuple, List, And Dictionary</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Writing User Functions In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Sending Mail</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Import Tricks In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Import Operating System And Platform</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Exceptions Handling In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Installing Packages And Scheduling In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Database In Python Using SQLite</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Running Program From Command Prompt And Jupyter Notebook</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Who is this course for</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Python Certification - Beginner to Expert is ideal for individuals who are new to programming or have minimal experience with Python. Whether you&#39;re a student looking to expand your coding skills, an aspiring developer seeking to enter the tech industry, or a professional aiming to enhance your programming proficiency, this course provides a comprehensive learning path tailored to beginners in Python programming.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Requirements</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">No prerequisites; suitable for individuals from any academic background.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accessible course materials from any internet-enabled device.</span></li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">CPD Certificate from Course Gate</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for &pound;9 and the hard copy for &pound;15. Also, you can order both PDF and hardcopy certificates for &pound;22.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Career path</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Python Developer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Software Engineer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Analyst</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Web Developer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Scientist</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">IT Consultant</li></ul>

Course Gate

Python Scripting

Python Certification - Beginner to Expert offers a comprehensive journey from novice to proficient Python programmer. This course is structured into 18 sections, covering essential topics such as software installation, conditional branching, file handling, and database management.

Python Certification - Beginner to Expert

<strong>This course empowers you to create interactive web applications using Shiny for Python. From fundamental concepts to advanced techniques, you will master web development with Python as your toolkit. Develop dynamic projects, learn diverse deployment methods, and embark on a journey to become a skilled Python web developer.</strong>
        <p>In the rapidly evolving landscape of web development, harnessing the power of Python to create dynamic and interactive web applications has become essential. This course empowers beginners with the tools to master web development using Python as their primary resource.

Beginning with the fundamental building blocks of web development, you will explore Shiny for Python, a package that revolutionizes the creation of user interfaces, widgets, and interactive features. From structuring your app and designing layouts to implementing control widgets and reactivity, you will gain a deep understanding of web application development.

The course then delves into hands-on projects, covering a diverse range of topics. You will learn how to fetch user input and create interactive apps, progressing to advanced concepts including climate change visualization with elements such as progress bars, interactive maps, and stylish UI components. Furthermore, the course provides invaluable insights into deployment strategies, including shinylive, GitHub Pages, Web Assembly, GitHub Gist, and Posit Connect, giving your creations a global reach.

With practical exercises and real-world projects, this course is the ultimate guide to becoming a proficient Python web developer using Shiny.</p>
        <h2>What You Will Learn</h2><p>Create user-friendly interfaces with control widgets and dynamic reactivity<br>Implement climate change app features, progress bars, and interactive maps<br>Learn deployment techniques such as GitHub Pages, shinylive, and shinyapps.io<br>Understand Web Assembly and its role in deploying Python web applications<br>Explore Posit Connect for seamless and efficient app deployment<br>Develop proficiency in Python-based web app development strategies</p>
        <h2>Audience</h2><p>This course is tailor-made for Python developers eager to venture into the world of web development. Whether you are a beginner seeking to build interactive web applications or an experienced developer looking to expand your skill set, this course is designed for you. No prior web development experience is required, but a basic understanding of Python is recommended to grasp the concepts effectively.</p>
        <h2>Approach</h2><p>This course employs a hands-on and practical learning approach. You will delve into web development using Python through real-world projects and interactive exercises. From foundational concepts to advanced techniques, you will gain a comprehensive understanding of Shiny for Python. With expert guidance, you will build skills that translate directly into creating interactive web applications.</p>
        <h2>Key Features</h2><p>Learn Python-based web development with Shiny for interactive, dynamic applications * Expert instruction, practical exercises, and real-world application development * Gain confidence to build and deploy Python web apps with Shiny effectively</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Shiny-for-Python-Ultimate---Web-Development-with-Python</p>
        <h2>About the Author</h2><h3>Bert Gollnick</h3><p>Bert Gollnick is a proficient data scientist with substantial domain knowledge in renewable energies, particularly wind energy. With a rich background in aeronautics and economics, Bert brings a unique perspective to the field. Currently, Bert holds a significant role at a leading wind turbine manufacturer, leveraging his expertise to contribute to innovative solutions.

For several years, Bert has been a dedicated instructor, offering comprehensive training in data science and machine learning using R and Python. The core interests of Bert lie at the crossroads of machine learning and data science, reflecting a commitment to advancing these disciplines.</p>
        <h2>Course Outline</h2><h4>1. Introduction and Setup</h4><p></p><br><h4>2. Shiny for Python</h4><p></p><br><h4>3. First App - Most Popular Languages</h4><p></p><br><h4>4. Second App - Climate Change</h4><p></p><br><h4>5. Deployment</h4><p></p>

This course empowers you to create interactive web applications using Shiny for Python. From fundamental concepts to advanced techniques, you will master web development with Python as your toolkit. Develop dynamic projects, learn diverse deployment methods, and embark on a journey to become a skilled Python web developer.

Shiny for Python Ultimate - Web Development with Python

<strong>Implement a hands-on Python GUI project: Build a Cryptocurrency portfolio app with Python, Tkinter, SQLite3, and the CoinMarketCap API</strong>
        <p>Welcome to Python GUI Programming - Building Desktop Applications with Tkinter and SQLite 

This course will help you build a Python GUI application step-by-step with Tkinter, SQLite. and the free CoinMarketCap API. Throughout the course, you will learn more about Python and Tkinter, including: 

&bull; Understanding API nd its usage. 
&bull; Extracting cryptocurrency coin data and working with it. 
&bull; Building portfolio logic on the command line then focusing on the GUI 
&bull; Getting started with Tkinter and Python GUI 
&bull; Merging your command-line application with Tkinter and completing the.py version. 
&bull; Converting the.py application to an executable .exe app. 
&bull; Understanding the basics of SQLite3 with Python. 

This course integrates all the aspects you need to get you on the road to becoming a successful Tkinter developer with proper live practical exercises and walk-throughs that take you from the basics to advanced use. 

After completing this course, you will be ready to expand your knowledge of Tkinter and Python. 

All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Python-GUI-Programming---Building-a-Desktop-Application-with-Tkinter-and-SQLite</p>
        <h2>What You Will Learn</h2><p>Build GUI apps with Python, Tkinter. and SQLite3 <br>Master the Web API and its usage in real projects <br>Master database and SQLite3 basics <br>Convert .py applications to working .exe applications</p>
        <h2>Audience</h2><p>This course targets existing Python developers who want to build GUI applications using Tkinter and anyone who wants to build desktop apps using Python.</p>
        <h2>Approach</h2><p>This exhaustive course is packed with step-by-step instructions, working examples, and source code and is divided into clear chunks so you can learn at your own pace, build projects, and see how it all works in practice.</p>
        <h2>Key Features</h2><p>Check different Cryptocurrency coin prices with a real API  * Build Portfolio logic and functionality from scratch  * Convert the.py application to an executable .exe app that can be used in real life</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-gui-programming---building-a-desktop-application-with-tkinter-and-sqlite</p>
        <h2>About the Author</h2><h3>Shubham Sarda</h3><p>Shubham is a software developer and digital marketer with a passion for teaching. He has worked with many funded start-ups, self-projects, and as a top-rated freelancer on multiple marketplaces. Currently, he stands among the top 700 freelancers with over 2,500+ projects on Fiverr, PeoplePerHour, Freelancer, and more.

As an instructor, he has taught programming and digital marketing to over 20,000 students, both with online courses and offline bootcamps. He has mastered explaining complex topics in the simplest form that is easy to understand and follow. His video courses are also used by companies to train their employees and by colleges to prepare and upgrade their students according to the latest industry requirements.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. CoinMarketCap API</h4><p></p><br><h4>3. Working with Data</h4><p></p><br><h4>4. Working with Portfolio</h4><p></p><br><h4>5. Tkinter</h4><p></p><br><h4>6. Application Formatting</h4><p></p><br><h4>7. Converting .PY File to .EXE File</h4><p></p><br><h4>8. Database Basics - SQLite3</h4><p></p><br><h4>9. Connecting Database with Tkinter Application</h4><p></p><br><h4>10. Modifying Application</h4><p></p><br><h4>11. Adding Insert, Update, Delete Buttons</h4><p></p><br><h4>12. Clearing Tkinter Window</h4><p></p><br><h4>13. Adding Notification and Navigation System</h4><p></p><br><h4>14. Bonus - Git Introduction and Version Control System</h4><p></p>

Implement a hands-on Python GUI project: Build a Cryptocurrency portfolio app with Python, Tkinter, SQLite3, and the CoinMarketCap API

Python GUI Programming - Building a Desktop Application with Tkinter and SQLite

Data Analysis

Flask

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

Automation

Get up to speed with automating repetitive tasks with Python

Complete Python Scripting for Automation

London

<div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms.</strong></p></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"></section></div></div><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Machine Learning 2-day Course</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><em fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Prerequisites:</strong></em></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Basic knowledge of Python coding is a pre-requisite.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><em fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who Should Attend?</strong></em></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Practical:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project</li><li fr-original-style="" style="box-sizing: border-box;">We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms.&nbsp;</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Outline:</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Supervised Machine Learning:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine</li><li fr-original-style="" style="box-sizing: border-box;">Regression Algorithms: Linear, Polynomial</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Unsupervised Machine Learning:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Clustering Algorithms: K-means clustering, Hierarchical Clustering</li><li fr-original-style="" style="box-sizing: border-box;">Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA)</li><li fr-original-style="" style="box-sizing: border-box;">Association Machine Learning Algorithms: Apriori, Euclat</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Other machine learning Algorithms:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting</li><li fr-original-style="" style="box-sizing: border-box;">Reinforcement learning Algorithms: Q-Learning</li><li fr-original-style="" style="box-sizing: border-box;">Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN)</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Exploration and Preprocessing:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">The first part of a Machine Learning project understands the data and the problem at hand.</li><li fr-original-style="" style="box-sizing: border-box;">Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy.</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What is included in this Python Machine Learning:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Python Machine Learning Certificate on completion &nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Python Machine Learning notes</li><li fr-original-style="" style="box-sizing: border-box;">Practical Python Machine Learning exercises and code examples</li><li fr-original-style="" style="box-sizing: border-box;">After the course, 1 free, online session for questions or revision Python Machine Learning.</li><li fr-original-style="" style="box-sizing: border-box;">Max group size on this Python Machine Learning is 4.</li></ul></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><div style="color: rgb(30, 10, 60); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(30, 10, 60);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Refund Policy</h2></div><div style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">No Refunds</div>

Pcw Courses Ltd

Python Machine Learning Course, 1-Days, Online Attendance

Python Basics 1-days Online Instructor-Led

<strong>Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.</strong>
        <p>This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.</p>
        <h2>What You Will Learn</h2><p>When to use Python 2 and when to use Python 3.<br>How to install Python on Windows, Mac, and Linux.<br>How to prepare your computer for programming in Python.<br>The various ways to run a Python program on Windows, Mac, and Linux.<br>Suggested text editors and Integrated Development Environments to use when coding in Python.<br>How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.<br>What variables are and when to use them.<br>How to perform mathematical operations using Python.<br>How to capture input from a user.<br>Ways to control the flow of your programs.<br>The importance of white space in Python.<br>How to organize your Python programs: learn what goes where.<br>What modules are, when you should use them, and how to create your own.<br>How to define and use functions.<br>Important built-in Python functions that you ll use often.<br>How to read from and write to files.<br>The difference between binary and text files.<br>Various ways of getting help, including finding Python documentation.<br></p>
        <h2>Audience</h2><p>This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. </p>
        <h2>Key Features</h2><p>How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-</p>
        <h2>About the Author</h2><h3>Jason Cannon</h3><p>Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies.

Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.</p>
        <h2>Course Outline</h2><h4>1. Course Overview and Downloads</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>Course Overview and Downloads: Course Overview</p></td></tr></tbody></table><br><h4>2. Python Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python 2 vs Python 3</p><p style='margin: 0'>Python Setup: Python 2 vs Python 3</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python on Windows</p><p style='margin: 0'>Python Setup: Installing Python on Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Python on Mac</p><p style='margin: 0'>Python Setup: Installing Python on Mac</p></td></tr><tr><td style='padding: 15px;'><p>4. Installing Python on Linux</p><p style='margin: 0'>Python Setup: Installing Python on Linux</p></td></tr><tr><td style='padding: 15px;'><p>5. Writing Python Programs</p><p style='margin: 0'>Python Setup: Writing Python Programs</p></td></tr><tr><td style='padding: 15px;'><p>6. Running Python Programs</p><p style='margin: 0'>Python Setup: Running Python Programs</p></td></tr></tbody></table><br><h4>3. Strings and Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Strings and Variables: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables and Strings</p><p style='margin: 0'>Strings and Variables: Variables and Strings</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions and Printing</p><p style='margin: 0'>Strings and Variables: Functions and Printing</p></td></tr><tr><td style='padding: 15px;'><p>4. String Methods</p><p style='margin: 0'>Strings and Variables: String Methods</p></td></tr><tr><td style='padding: 15px;'><p>5. String Concatenation</p><p style='margin: 0'>Strings and Variables: String Concatenation</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatting Strings</p><p style='margin: 0'>Strings and Variables: Formatting Strings</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Strings and Variables: Section Summary</p></td></tr><tr><td style='padding: 15px;'><p>8. Solutions to the Practice Exercises - #1 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #1 - Video</p></td></tr><tr><td style='padding: 15px;'><p>9. Solutions to the Practice Exercises - #2 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #2 - Video</p></td></tr><tr><td style='padding: 15px;'><p>10. Solutions to the Practice Exercises - #3 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #3 - Video</p></td></tr></tbody></table><br><h4>4. Numbers and Math</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Numbers and Math: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Numbers, Numeric Operations, and Numeric Functions</p><p style='margin: 0'>Numbers and Math: Numbers, Numeric Operations, and Numeric Functions</p></td></tr><tr><td style='padding: 15px;'><p>3. Comments</p><p style='margin: 0'>Numbers and Math: Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Numbers and Math: Section Summary</p></td></tr></tbody></table><br><h4>5. Booleans and Conditionals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Booleans and Conditionals: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Booleans</p><p style='margin: 0'>Booleans and Conditionals: Booleans</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditionals</p><p style='margin: 0'>Booleans and Conditionals: Conditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Booleans and Conditionals: Section Summary</p></td></tr></tbody></table><br><h4>6. Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Functions: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions, Part I</p><p style='margin: 0'>Functions: Functions, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions, Part II</p><p style='margin: 0'>Functions: Functions, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Functions: Section Summary</p></td></tr></tbody></table><br><h4>7. Lists</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Lists: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Lists</p><p style='margin: 0'>Lists: Lists</p></td></tr><tr><td style='padding: 15px;'><p>3. Slices</p><p style='margin: 0'>Lists: Slices</p></td></tr><tr><td style='padding: 15px;'><p>4. Exception Handling</p><p style='margin: 0'>Lists: Exception Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Loops</p><p style='margin: 0'>Lists: Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting and Ranges</p><p style='margin: 0'>Lists: Sorting and Ranges</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Lists: Section Summary</p></td></tr></tbody></table><br><h4>8. Dictionaries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Dictionaries: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Dictionaries - Part I</p><p style='margin: 0'>Dictionaries: Dictionaries - Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Dictionaries - Part II</p><p style='margin: 0'>Dictionaries: Dictionaries - Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Dictionaries: Section Summary</p></td></tr></tbody></table><br><h4>9. Tuples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Tuples: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Tuples</p><p style='margin: 0'>Tuples: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>3. Section Summary</p><p style='margin: 0'>Tuples: Section Summary</p></td></tr></tbody></table><br><h4>10. Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Files: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Files, Part I</p><p style='margin: 0'>Files: Files, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Files, Part II</p><p style='margin: 0'>Files: Files, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Files: Section Summary</p></td></tr></tbody></table><br><h4>11. Modules</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Modules, Part I</p><p style='margin: 0'>Modules: Modules, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules, Part II</p><p style='margin: 0'>Modules: Modules, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr></tbody></table>

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

Python for Beginners: Learn Python Programming (Python 3)

<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

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

The Ultimate Guide to Python Programming with Python 3.10

<strong>This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.</strong>
        <p>Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python.

This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions.

Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum.

By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Master Python programming fundamentals<br>Learn how to install Python to get up and running in no time<br>Learn how to process data to create Olympics Medals Tables<br>Solve multiple specific problems for a customer in the real world<br>Learn all about objects and variables in Python<br>Understand functions and function parameters in Python</p>
        <h2>Audience</h2><p>Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.</p>
        <h2>Approach</h2><p>This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.</p>
        <h2>Key Features</h2><p>Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>About the Author</h2><h3>Paul Ashun</h3><p>Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook.

He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video is an introduction the course and what you can expect from the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Learning Objectives - Introduction</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>3. What Is Python?</p><p style='margin: 0'>This video explains what Python is and the need for Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Example</p><p style='margin: 0'>This video explains an example of a software engineer working in a media company to support the development team.</p></td></tr></tbody></table><br><h4>2. Getting Set Up</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Get Started with Replit</p><p style='margin: 0'>This video explains how to get started with Replit.</p></td></tr><tr><td style='padding: 15px;'><p>3. Writing Your First Python Program-Hello World</p><p style='margin: 0'>This video explains writing your first Python program-Hello World.</p></td></tr></tbody></table><br><h4>3. Storing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Objects and Variables</p><p style='margin: 0'>This video explains objects and variables in Python using an example of Olympic results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Names</p><p style='margin: 0'>This video explains variable names in Python and the rules to use them.</p></td></tr><tr><td style='padding: 15px;'><p>4. Numbers</p><p style='margin: 0'>This video explains the different types of numbers in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Strings</p><p style='margin: 0'>This video explains strings in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Showing Output When Running Python</p><p style='margin: 0'>This video explains showing output when running Python.</p></td></tr></tbody></table><br><h4>4. Processing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Information</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing Information</p><p style='margin: 0'>This video explains processing information in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Indexing</p><p style='margin: 0'>This video explains indexing in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Slices</p><p style='margin: 0'>This video explains slices in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. String Functions</p><p style='margin: 0'>This video explains string functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. The 'input' Function</p><p style='margin: 0'>This video explains the input function in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. More String Operations</p><p style='margin: 0'>This video explains more string operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Converting Between Different Types</p><p style='margin: 0'>This video explains converting between different types.</p></td></tr></tbody></table><br><h4>5. Comparing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Comparing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Comparing Information</p><p style='margin: 0'>This video explains comparing information in Python.</p></td></tr></tbody></table><br><h4>6. Tidying Messy Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Tidying Messy Data</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidying Messy Data</p><p style='margin: 0'>This video explains how to tidy messy data.</p></td></tr></tbody></table><br><h4>7. Storing Multiple Things</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Multiple Things</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Storing Multiple Things</p><p style='margin: 0'>This video explains how to store multiple things.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introducing Python Lists</p><p style='margin: 0'>This video explains lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Items to a List</p><p style='margin: 0'>This video explains how to add items to a list.</p></td></tr><tr><td style='padding: 15px;'><p>5. Indexing and Slicing Lists</p><p style='margin: 0'>This video explains indexing and slicing lists.</p></td></tr><tr><td style='padding: 15px;'><p>6. Deleting Items in a List</p><p style='margin: 0'>This video explains how to delete items in a list.</p></td></tr><tr><td style='padding: 15px;'><p>7. Tuples</p><p style='margin: 0'>This video explains tuples in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Long Lines in Python</p><p style='margin: 0'>This video explains long lines in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dictionaries</p><p style='margin: 0'>This video explains dictionaries in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. List Functions - More Ways to Work with Lists</p><p style='margin: 0'>This video explains list functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Sets</p><p style='margin: 0'>This video explains sets in Python.</p></td></tr></tbody></table><br><h4>8. Processing Collections</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Collections</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple 'for' Loop</p><p style='margin: 0'>This video explains a simple for loop.</p></td></tr><tr><td style='padding: 15px;'><p>3. More Complex 'for' loops - 'break', 'continue', and 'else'</p><p style='margin: 0'>This video explains more complex 'for' loops.</p></td></tr><tr><td style='padding: 15px;'><p>4. The 'range' Function - How to Create a List of Numbers</p><p style='margin: 0'>This video explains how to create a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. The 'while' Loop - Do Something for a While</p><p style='margin: 0'>This video explains the while loop.</p></td></tr></tbody></table><br><h4>9. Robust Programs - Handling Errors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains error handling in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Look Before You Leap</p><p style='margin: 0'>This video explains one way of making the code more robust, which is called 'look before you leap'.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Try and Except Block</p><p style='margin: 0'>This video explains the try and except block in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. The Catch-All Block</p><p style='margin: 0'>This video explains the catch-all block.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Resources to Replit</p><p style='margin: 0'>This video explains how to add resources to Replit.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Finally Block</p><p style='margin: 0'>This video explains the finally block.</p></td></tr></tbody></table><br><h4>10. Saving the Results - Working with Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Saving the Results - Working with Files</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding Bad Data</p><p style='margin: 0'>This video explains adding bad data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Saving the Results - Working with Files</p><p style='margin: 0'>This video explains saving the results and working with files.</p></td></tr><tr><td style='padding: 15px;'><p>4. Binary File Modes</p><p style='margin: 0'>This video explains binary file modes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Text File Modes</p><p style='margin: 0'>This video explains text file modes.</p></td></tr><tr><td style='padding: 15px;'><p>6. The With Statement</p><p style='margin: 0'>This video explains the with statement.</p></td></tr></tbody></table><br><h4>11. Breaking Up Larger Programs, Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 1</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Replit.config</p><p style='margin: 0'>This video explains replit.config.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions</p><p style='margin: 0'>This video explains functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Function Parameters</p><p style='margin: 0'>This video explains function parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Local Versus Global Variables</p><p style='margin: 0'>This video explains local versus global variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Positional and Keyword Parameters</p><p style='margin: 0'>This video explains positional and keyword parameters.</p></td></tr><tr><td style='padding: 15px;'><p>7. Return Statement</p><p style='margin: 0'>This video explains the return statement.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working With JSON</p><p style='margin: 0'>This video explains working with JSON.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Comments and Clear Code</p><p style='margin: 0'>This video explains code comments in Python.</p></td></tr></tbody></table><br><h4>12. Summarising and Presenting the Results</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Summarising and Presenting the Results</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Summarising and Presenting the Results Part 1</p><p style='margin: 0'>This video explains how to summarise the results using statistics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Cleaning the Data</p><p style='margin: 0'>This video explains cleaning the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Summarising and Presenting the Results Part 2</p><p style='margin: 0'>This video explains the code in which we will get a sum of the scores of a country.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Numeric Functions - Min, Max, Sum</p><p style='margin: 0'>This video explains min, max, and sum functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatted Strings, f-strings</p><p style='margin: 0'>This video explains formatted strings and f-strings in Python.</p></td></tr></tbody></table><br><h4>13. Breaking Up Larger Programs, Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 2</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splitting Code into Modules</p><p style='margin: 0'>This video explains splitting code into modules.</p></td></tr><tr><td style='padding: 15px;'><p>3. Namespaces</p><p style='margin: 0'>This video explains namespaces in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Our Modules</p><p style='margin: 0'>This video explains how to use modules in Python.</p></td></tr></tbody></table><br><h4>14. Getting Set Up on a PC or MAC</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up on a PC or MAC</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Set Up</p><p style='margin: 0'>This video explains how to set up Python on our systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Starting Python on Windows 10</p><p style='margin: 0'>This video explains how to start Python on Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>4. Starting a Terminal or Command Prompt on Windows</p><p style='margin: 0'>This video explains how to start a terminal or command prompt on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Python on Windows</p><p style='margin: 0'>This video explains the installation of Python on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing Python on MacOS</p><p style='margin: 0'>This video explains the installation on Python on MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Quick Python Test - Running Python</p><p style='margin: 0'>This video explains how to run a Python script.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Scripts and IDLE</p><p style='margin: 0'>This video explains Python scripts and IDE.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Editors and IDEs</p><p style='margin: 0'>This video explains code editors and IDEs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Running Python Scripts</p><p style='margin: 0'>This video explains how to run Python scripts.</p></td></tr></tbody></table>

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Python Bootcamp in a Day - Python Programming for Beginners.

Network

Networking

Cisco

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Python Network Programming for Network Engineers (Python 3)

<p><strong>Introducing Coding using Python</strong></p>
<p>This course introduces your child to a very advanced, yet easy to learn programming languages &ndash; Python. It&rsquo;s safe to say that many apps we use today have been built using Python &ndash; Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.</p>

Riva Learning

Programming Languages

Computing

Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

Introducing coding using Python

General admission

<strong>Get to grip with the foundations of Python Programming language</strong>
        <p>The Python Code Camp will help you learn Python programming and the concepts associated with it. If you are a beginner, this is the best way to start your coding journey.
Starting with an introduction to the Python language and its importance, this course will take you through the concept of inputs and decisions, and enable you to explore topics like functions, dictionaries, lists, and tuples in detail. You'll then advance to learning about the various classes and objects along with the different file input and output modes. Every topic concludes with a campfire activity that includes exercises and practical examples to help you understand the concepts better.
By the end of the course, you will have developed a solid foundation for getting started with Python programming.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Python-Code-Camp</p>
        <h2>What You Will Learn</h2><p>Get well-versed with the basics of Python Programming<br>Find out how you can simplify coding using functions in Python<br>Understand the implementation of classes and objects<br>Discover the different file input and output modes<br>Explore the different lists and tuples with the help of coding examples</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn the fundamentals of the Python programming language. Any beginner-level student will find this course useful.</p>
        <h2>Approach</h2><p>This hands-on course will help you with the concepts of Python programming using engaging exercises and coding examples.</p>
        <h2>Key Features</h2><p>Develop fundamental Python programming skills * Explore the different classes and objects in Python and learn to implement them * Understand how different functions work in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-code-camp</p>
        <h2>About the Author</h2><h3>Mark Lassoff</h3><p>Framework Tech, founded by the visionary Mark Lassoff, specializes in teaching digitally accessible technical skills to people just getting started in their technical careers, including web development, digital design, and other career paths enabled by technology. Framework Tech has bridged the gap between entertainment and education, creating a unique, immersive learning experience that resonates with students.

Their instructors are more than just tech-savvy professionals; they are educators first and foremost, handpicked for their unique ability to translate complex technological concepts into digestible, engaging lessons. Framework Tech continues to evolve, constantly innovating to stay at the forefront of the online learning landscape.</p>
        <h2>Course Outline</h2><h4>1. Code Camp Day 001: Getting Started with Python</h4><p></p><br><h4>2.  Input and Decisions</h4><p></p><br><h4>3.  Lists and Tuples</h4><p></p><br><h4>4. Dictionaries</h4><p></p><br><h4>5. Functions</h4><p></p><br><h4>6. Classes and Objects</h4><p></p><br><h4>7. More Class and Objects</h4><p></p><br><h4>8. File Input and Output</h4><p></p>

Get to grip with the foundations of Python Programming language

Python Code Camp

<strong>This course for beginners will help you build a solid foundation in programming with Python 3. We will cover core concepts such as Python statements, variables, data types, lists, typecasting, comments, conditional statements, loops, file handling, OOP concepts, and more. A carefully structured course with live demonstrations to get you started.</strong>
        <p>Python is one of the most popular programming languages and gives a lot of scope and opportunities in the field of programming hence, this course will help you build a strong foundation to achieve your professional goals.

The course is recorded with the latest Python version: Python 3. It is a practical focused course, thus making it compressive and easy to follow for beginners stepping into the world of programming.

The course is divided into four levels. The first level is about Python shell, variables, data types, lists, and user input. The second level will take you through Python IDE (PyCharm), comments, functions, and scope. The third level is about conditions (if) and loops, followed by the fourth level, which is to read/write to a file, use and create Python modules, and run a Python program from the terminal. There is also a bonus lesson on OOP (Object-Oriented Programming). Learning OOP will help you enhance your skills further.

By the end of the course, you will have a strong foundation in Python, and you will be able to build on that foundation with confidence.</p>
        <h2>What You Will Learn</h2><p>Install and use a Python IDE (PyCharm)<br>Create your own Python module to use in other files<br>Explore variables, data types, lists, functions, conditions, and loops<br>Use a built-in Python module in your code<br>Run Python instructions in the Python shell<br>Learn to read files with Python</p>
        <h2>Audience</h2><p>This course is for complete beginners who want to learn Python basics in a straightforward way. Even if you are a programming beginner who started with another language and want to jump to Python, you can opt for this course. This course is also for Python developers who want a quick refresher course, or anyone interested in web development, robotics, artificial intelligence, video games development, and data science.</p>
        <h2>Approach</h2><p>This is a hands-on, practical course. Every single lesson of the course contains live implementations, making it easy for anyone to learn and understand. It is straightforward and is taught in a step-by-step manner to enhance your coding skills.</p>
        <h2>Key Features</h2><p>Learn to write your first Python code and run it * Discover Python OOP (Object-Oriented Programming) * Get introduced to concepts such as inheritance and composition (OOP)</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Practical-Python-Learn-Python-Basics-Step-by-Step-Python-3</p>
        <h2>About the Author</h2><h3>Edouard Renard </h3><p>Edouard Renard is a software engineer, entrepreneur, and robotics teacher. He really enjoys teaching new technologies to people and making complex stuff easy to understand. His method is simple and consists of only three words: step by step. Edouard knows how hard it can be to learn a new topic and just be lost in an ocean of information without knowing what to do. In his courses, he makes sure that you learn one step at a time, through practice, and that you also learn the best practices.

He is passionate about robotics and found that it's amazing how many cool projects you can do with a robot when you have the required programming knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome!</p><p style='margin: 0'>In the video, the author gives an overview of Python and the topics that will be covered in the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Follow This Course</p><p style='margin: 0'>In this video, the author briefs you on how to follow the course and his teaching method.</p></td></tr><tr><td style='padding: 15px;'><p>3. Install Python on Windows</p><p style='margin: 0'>This video demonstrates how to install Python in Windows OS.</p></td></tr><tr><td style='padding: 15px;'><p>4. Install Python on Linux</p><p style='margin: 0'>In this video, the author demonstrates the installation of Python in Linux OS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Install Python on MacOS</p><p style='margin: 0'>This video shows how to install Python in MacOS.</p></td></tr></tbody></table><br><h4>2. Python Basics- Level 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video briefs about the basics of Python and how to go about the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Write Your First Python Statement</p><p style='margin: 0'>This video demonstrates how to use Python Shell and write your first statement.</p></td></tr><tr><td style='padding: 15px;'><p>3. Numbers and Operations</p><p style='margin: 0'>This video shows how to use numbers and operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Variables</p><p style='margin: 0'>This video demonstrates how to use variables in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Variables - Data Types</p><p style='margin: 0'>This video explores the data types in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Lists</p><p style='margin: 0'>This video demonstrates how to create lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. Get User Input</p><p style='margin: 0'>This video demonstrates how to get user input in a specific program.</p></td></tr><tr><td style='padding: 15px;'><p>8. Cast a Type to Another Type</p><p style='margin: 0'>This video shows how to modify a data type of a variable.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 1: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises to work on.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 1: Exercises - Solution</p><p style='margin: 0'>In this video, the author shows the answers of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>3. Python Basics Level 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video gives a brief overview of Python functions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Install a Python IDE (PyCharm)</p><p style='margin: 0'>This video demonstrates how to install IDE PyCharm in different operating systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Write and Execute Your First Python Program</p><p style='margin: 0'>This video demonstrates how to write and execute Python programs and debug issues.</p></td></tr><tr><td style='padding: 15px;'><p>4. Comments</p><p style='margin: 0'>This video shows how to make clean and comprehensive codes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Functions</p><p style='margin: 0'>This video gives an overview of functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Functions Parameters</p><p style='margin: 0'>This video demonstrates how to add parameters to a function.</p></td></tr><tr><td style='padding: 15px;'><p>7. Function Return Statement</p><p style='margin: 0'>This video shows how to make a function return value.</p></td></tr><tr><td style='padding: 15px;'><p>8. Variable Scope</p><p style='margin: 0'>This video gives an overview of variable scope and demonstrates how to use it.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 2: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises related to functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 2: Exercises - Solution</p><p style='margin: 0'>This video shows the answers to the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>4. Python Basics Level 3</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives a brief introduction of conditions and loops.</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Statements with Booleans</p><p style='margin: 0'>In this video, the author demonstrates how to conduct certain tests to get Boolean output.</p></td></tr><tr><td style='padding: 15px;'><p>3. Combine Different Conditional Statements</p><p style='margin: 0'>In this video, the author demonstrates how to combine different conditional statements.</p></td></tr><tr><td style='padding: 15px;'><p>4. Conditions with If</p><p style='margin: 0'>In this video, the author demonstrates conditional statements using the IF structure.</p></td></tr><tr><td style='padding: 15px;'><p>5. Else, Else If</p><p style='margin: 0'>This video shows more about the IF structure using Else, Elif (Else if).</p></td></tr><tr><td style='padding: 15px;'><p>6. For Loop</p><p style='margin: 0'>This video gives an overview of the For loop in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. While Loop</p><p style='margin: 0'>This video shows you how the While loop works.</p></td></tr><tr><td style='padding: 15px;'><p>8. Use Loops to Iterate on Python Lists</p><p style='margin: 0'>This video demonstrates how to use loops to iterate on Python lists.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 3: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises related to conditions and loops.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 3: Exercises - Solution</p><p style='margin: 0'>In this video, the author shows the answer of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>5. Python Basics Level 4</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives a brief introduction to the lessons that will be covered in the coming videos.</p></td></tr><tr><td style='padding: 15px;'><p>2. Read from a File</p><p style='margin: 0'>In this video, the author demonstrates how to read from a file and then how to organize it.</p></td></tr><tr><td style='padding: 15px;'><p>3. Write to a File</p><p style='margin: 0'>This video demonstrates how to write to a file in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Use a Python Module</p><p style='margin: 0'>This video demonstrates how to import and use a Python module.</p></td></tr><tr><td style='padding: 15px;'><p>5. Create Your Own Python Module</p><p style='margin: 0'>This video demonstrates how to create your own Python module.</p></td></tr><tr><td style='padding: 15px;'><p>6. Run a Python Script from the Terminal</p><p style='margin: 0'>This video demonstrates how to run a Python script from the terminal on different operating systems.</p></td></tr><tr><td style='padding: 15px;'><p>7. Python Level 4: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises to work on.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Level 4: Exercises - Solution</p><p style='margin: 0'>This video shows the answers of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>6. Extra: Python OOP</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives an introduction of OOP and how to use it to write a program.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is OOP, What Are Classes</p><p style='margin: 0'>In this video, the author defines and gives a brief description of OOP and classes.</p></td></tr><tr><td style='padding: 15px;'><p>3. Create a Python Class</p><p style='margin: 0'>This video demonstrates how to create a class in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Add Class Methods</p><p style='margin: 0'>This video demonstrates how to add functionalities to a class.</p></td></tr><tr><td style='padding: 15px;'><p>5. Create an Object (Instance) from Your Class</p><p style='margin: 0'>This video demonstrates how to create object (instance) from a class.</p></td></tr><tr><td style='padding: 15px;'><p>6. Organize Your OOP Files</p><p style='margin: 0'>This video shows how to organize OOP files in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. Inheritance - Derive a Class from Another Class</p><p style='margin: 0'>This video gives an overview of inheritance and demonstrates how to derive a class from another class.</p></td></tr><tr><td style='padding: 15px;'><p>8. Composition - Use a Class Inside Another Class</p><p style='margin: 0'>This video gives a brief introduction of the concepts of composition and shows you how to use a class inside another class.</p></td></tr></tbody></table><br><h4>7. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Best Practices When Writing Python Code</p><p style='margin: 0'>In this video, the author suggests a few tips to follow while writing Python codes.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Go Further from Here</p><p style='margin: 0'>This video shows you what and how to pursue further in Python after this course is over.</p></td></tr></tbody></table>

This course for beginners will help you build a solid foundation in programming with Python 3. We will cover core concepts such as Python statements, variables, data types, lists, typecasting, comments, conditional statements, loops, file handling, OOP concepts, and more. A carefully structured course with live demonstrations to get you started.

Practical Python: Learn Python Basics Step by Step - Python 3

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