29 Python Scripting courses

Get up to speed with automating repetitive tasks with Python

You will learn how to become a Python developer through this course.

CCNP TRAINING COURSE DESCRIPTION The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.2 course provides the knowledge and skills needed to configure, troubleshoot, and manage enterprise wired and wireless networks. You'll learn to implement security principles within an enterprise network and how to overlay network design using solutions such as SDAccess and SD-WAN. Course content includes 3 days of self-study material. This course helps you prepare for the 350-401 Implementing Cisco Enterprise Network Core Technologies (ENCOR) exam WHAT WILL YOU LEARN * Configure, troubleshoot, and manage enterprise wired and wireless networks * Implement security principles within an enterprise network * Prepare you prepare to take the 350-401 Implementing Cisco Enterprise Network Core Technologies (ENCOR) exam CCNP TRAINING COURSE DETAILS * Who will benefit: Mid-level network engineers, Network administrators, Network support technicians, Help desk technicians. * Prerequisites: Implementation of Enterprise LAN networks. Basic understanding of Enterprise routing and wireless connectivity, and Python scripting * Duration 5 days CCNP TRAINING COURSE CONTENT * Cisco Enterprise Network Architecture: Access, distribution, core in the hierarchical network. Cisco Switching Paths: Switching mechanisms, TCAM, CAM, process switching, fast switching, and CEF. * Implementing Campus LAN Connectivity: Troubleshoot L2 connectivity using VLANs and trunking Building Redundant Switched Topology: STP Implementing Layer 2 Port Aggregation Troubleshoot link aggregation using Etherchannel EIGRP Implement and optimize OSPFv2/v3, including adjacencies, packet types, and areas, summarization, and route filtering for IPv4/v6 Implement EBGP interdomain routing, path selection, and single and dual-homed networking Implementing Network Redundancy: HSRP and VRRP Implement static and dynamic NAT Virtualization Protocols and Techniques VPNs and Interfaces: Overlay technologies such as VRF, GRE, VPN, and LISP Wireless Principles: RF, antenna characteristics, and wireless standards. Wireless Deployment: Models available, autonomous AP deployments and cloud-based designs within the centralized Cisco WLC architecture Wireless Roaming and Location Services Wireless AP Operation: How APs communicate with WLCs to obtain software, configurations, and centralized management Wireless Client Authentication: EAP, WebAuth, and PSK wireless client authentication on a WLC. Troubleshoot wireless client connectivity issues using various available tools Troubleshoot networks using services such as NTP, SNMP, Cisco IP SLAs, NetFlow, and Cisco IOS EEM Explain network analysis and troubleshooting tools, which include show and debug commands, as well as best practices in troubleshooting Multicast Protocols: IGMP v2/v3, PIM DM/SM and RPs Introducing QoS: Concepts and features. Implementing Network Services: Secure administrative access for Cisco IOS devices using CLI access, RBAC, ACL, and SSH, and device hardening concepts to secure devices from less secure applications Using Network Analysis Tools Infrastructure Security: Scalable administration using AAA and the local database, features and benefits Enterprise Network Security Architecture: VPNs, content security, logging, endpoint security, personal firewalls, and other security features. Automation and Assurance with Cisco DNA Center: Purpose, function, features, and workflow. Intent-Based Networking, for network visibility, proactive monitoring, and application experience Cisco SD-Access Solution: Nodes, fabric control plane, and data plane, VXLAN gateways Cisco SD-WAN Solution: Components and features of Cisco SD-WAN solutions, including the orchestration, management, control, and data planes Basics of Python Programming: Python components and conditionals with script writing and analysis Network Programmability: NETCONF and RESTCONF APIs in Cisco DNA Center and vManage * Labs: Investigate the CAM. Analyze CEF. Troubleshoot VLAN and Trunk Issues. Tuning STP and Configuring RSTP. Configure MSTP. Troubleshoot EtherChannel. Implement Multi-area OSPF. Implement OSPF Tuning. Apply OSPF Optimization. Implement OSPFv3. Configure and Verify Single-Homed EBGP. Implementing HSRP. Configure VRRP. Implement NAT. Configure and Verify VRF. Configure and Verify a GRE Tunnel. Configure Static VTI Point-to-Point Tunnels. Configure Wireless Client Authentication in a Centralized Deployment. Troubleshoot Wireless Client Connectivity Issues. Configure Syslog. Configure and Verify Flexible NetFlow. Configuring Cisco IOS EEM. Troubleshoot Connectivity and Analyze Traffic with Ping, Traceroute, and Debug. Configure and Verify Cisco IP SLAs. Configure Standard and Extended ACLs. Configure Control Plane Policing. Implement Local and Server-Based AAA. Writing and Troubleshooting Python Scripts. Explore JSON Objects and Scripts in Python. Use NETCONF Via SSH. Use RESTCONF with Cisco IOS XE.

LEARNING OUTCOMES * Learn what Python programming is and its basic data types * Know the fundamentals of Python operators * Deepen your understanding of control flow part - 1 and control flow part - 2 * Enhance your idea of user input and error handling * Get acquainted with Python scripting and libraries * Get an introduction to OPP and learn the advanced OPP DESCRIPTION According to a statistic, Python is one of the most demanding jobs in the UK, which offers a salary of almost £60,000 to programmers who are skilled in Pythons. This demand opens up many opportunities for freshers and experts in various IT fields. So, if you are from a programming background or wish to start your career in the relevant field, gain adequate skills in Python and shine in your future career with the help of the Python Programming: Beginner to Experts course. Our immersive Python Programming: Beginner to Experts course will help you gain a thorough understanding of what Python is all about and in which sectors it's mostly used. Moreover, this course will provide you with knowledge of basic data types. In addition, you will learn about Python operators, user input and error handling and many more. While progressing through your study, you can also get to learn about Python scripting and libraries. It will also introduce you to the primary and advanced levels of OPP. However, after completing this comprehensive course, you will immediately receive a CPD- Certificate of achievement, which will not only help you boost your confidence but also put some weight on your resume. So, enrol and begin your journey now! CERTIFICATE OF ACHIEVEMENT After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  METHOD OF ASSESSMENT After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. CAREER PATH We designed this course with the aim of increasing your expertise in Python so that you can pursue your career in the relevant field. Such as -  * Web Developer * Software Engineer * Data Scientist * Machine Learning Engineer * Data Analyst

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is system installers, system integrators, system administrators, network administrators, and solutions designers. Overview At the end of this course, you will be able to: Describe the NSO's transactional application framework and mapping model options Describe the Reactive Fastmap design pattern and the NSO Configuration Database (CDB) subscriber in the NSO Transaction model Simplify packages to remove the need for subscriber applications, scale orchestration solutions, and integrate NSO with external systems (east-west integration)Describe the Cisco ESC architecture and integration with NSO, and how the NSO VNF Orchestration (VNFO) Release 2 bundle interacts with ESC for orchestration This course explores how to create advanced services using the NSO application framework and Python scripting with both new and existing Layer 3 Multiprotocol Label Switching (MPLS) VPN services. Students will also learn how to manage and scale these services, and how to use NSO Network Functions Virtualization (NFV) orchestration features and Cisco Elastic Services Controller (ESC) to manage Virtualized Network Functions (VNFs). CISCO NSO PROGRAMMABILITY * NSO Application Framework * NSO Python Scripting * NSO Python and Template-Based Services * Resources AUGMENTING CISCO NSO SERVICE * Service Lifecycle and Integration Options Overview * Greenfield Layer 3 MPLS VPN Service * Brownfield Layer 3 MPLS VPN Service MANAGED SERVICES * Managed Services Overview * Stacked Service Design Overview * Design-Managed Network Services * Scaling Service Orchestration CISCO NSO NETWORK FUNCTIONS VIRTUALIZATION (NFV) ORCHESTRATION * ETSI MANO * Cisco ESC * Cisco NSO Orchestration ADDITIONAL COURSE DETAILS: Nexus Humans Cisco Network Services Orchestrator Advanced Design (NSO300) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Network Services Orchestrator Advanced Design (NSO300) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. ADDITIONAL COURSE DETAILS: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Python scripting makes it easy to automate workflows in ArcGis. In the Learn to Use Python for Spatial Analysis in ArcGIS course, you will learn from the experts how to perform spatial analysis and data management tasks using ArcGis tools. It will teach you how to carry out a wide range of tasks, from creating animations to running a batch process in Python of multiple existing scripts.  By the end of the course, you will have the skills and expertise to pursue a career as a developer, and will be able to use ArcGis proficiently for mapping, spatial analysis, data science, geospatial AI and automation. There are no specific entry requirements for this course, however, which can be studied on a part-time or full-time basis. This best selling Learn to Use Python for Spatial Analysis in ArcGIS has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Learn to Use Python for Spatial Analysis in ArcGIS is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Learn to Use Python for Spatial Analysis in ArcGIS is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Learn to Use Python for Spatial Analysis in ArcGIS is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Learn to Use Python for Spatial Analysis in ArcGIS, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Learn to Use Python for Spatial Analysis in ArcGIS will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Learn to Use Python for Spatial Analysis in ArcGIS to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

This intermediate course provides hands-on training of white, grey, and black hat skills every cybersecurity professional needs to know.

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. AN OVERVIEW OF PYTHON * Why Python? * Python in the Shell * Python in Web Notebooks (iPython, Jupyter, Zeppelin) * Demo: Python, Notebooks, and Data Science GETTING STARTED * Using variables * Builtin functions * Strings * Numbers * Converting among types * Writing to the screen * Command line parameters FLOW CONTROL * About flow control * White space * Conditional expressions * Relational and Boolean operators * While loops * Alternate loop exits SEQUENCES, ARRAYS, DICTIONARIES AND SETS * About sequences * Lists and list methods * Tuples * Indexing and slicing * Iterating through a sequence * Sequence functions, keywords, and operators * List comprehensions * Generator Expressions * Nested sequences * Working with Dictionaries * Working with Sets WORKING WITH FILES * File overview * Opening a text file * Reading a text file * Writing to a text file * Reading and writing raw (binary) data FUNCTIONS * Defining functions * Parameters * Global and local scope * Nested functions * Returning values ESSENTIAL DEMOS * Sorting * Exceptions * Importing Modules * Classes * Regular Expressions THE STANDARD LIBRARY * Math functions * The string module DATES AND TIMES * Working with dates and times * Translating timestamps * Parsing dates from text * Formatting dates * Calendar data PYTHON AND DATA SCIENCE * Data Science Essentials * Pandas Overview * NumPy Overview * SciKit Overview * MatPlotLib Overview * Working with Python in Data Science ADDITIONAL COURSE DETAILS: Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python for Data Science: Hands-on Technical Overview (TTPS4873) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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