GitHub Copilot with Python and Testing topics Course Overview
This course, 'GitHub Copilot with Python and Testing topics Course Overview,' equips developers with essential skills to enhance productivity using AI-assisted coding. Ideal for software engineers, data scientists, and quality assurance professionals, it covers integrating GitHub Copilot into Python projects, focusing on effective testing practices to ensure robust application development and streamline workflows.
Course outline & what you'll learn
- Introduction to GitHub Copilot
Overview of AI-assisted coding
- Benefits of using GitHub Copilot
- Setting Up GitHub Copilot
- Installation and configuration
- Integrating with popular IDEs
- Python Fundamentals
- Basics of Python programming
- Data types and structures
- Control flow and functions
- Using GitHub Copilot with Python
- Autocompletion and code suggestions
- Generating functions and classes
- Best practices for leveraging Copilot
- Testing in Python
- Introduction to software testing
- Unit testing with unittest and pytest
- Writing effective test cases
- Integrating GitHub Copilot in Testing
- Generating test cases using Copilot
- Automating test processes
- Debugging with Copilot assistance
- Advanced Python Techniques
- Decorators and context managers
- Working with APIs and libraries
- Handling exceptions and errors
- Collaboration and Version Control
- Using Git with GitHub
- Best practices for collaborative coding
- Managing branches and pull requests
- Course Project
- Creating a comprehensive Python application
- Implementing features with GitHub Copilot
- Testing and deploying the application
Conclusion and Next Steps
- Recap of key learnings
- Resources for further learning
- Community and support channels
Why train with Traincrest
This GitHub course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.