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Course Outline
Introduction to GitHub Copilot
- Overview of AI-assisted coding
- Key features and advantages of GitHub Copilot
- Setting up Copilot for Python development
Developing Python Code with Copilot
- Generating code snippets and functions
- Improving code readability and style
- Working with standard Python libraries using Copilot
Debugging and Problem Solving
- Identifying and fixing errors with Copilot
- Incorporating Copilot into debugging processes
- Best practices for effective debugging
Automating Routine Tasks
- Writing scripts for common operations
- Minimizing boilerplate code
- Boosting efficiency through Copilot-driven automation
Machine Learning with Copilot
- Applying Copilot to data preprocessing and visualization
- Implementing machine learning algorithms
- Building pipelines for model training and evaluation
Advanced Methods and Best Practices
- Tailoring Copilot to specific workflows
- Integrating Copilot with version control and collaboration tools
- Ethical aspects and constraints of AI-assisted coding
Wrap-up and Future Steps
Requirements
- Fundamental understanding of Python programming
- Experience with integrated development environments (IDEs) such as Visual Studio Code
Target Audience
- Python developers
14 Hours
Testimonials (2)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers
Trainer able to adjust the course level during training to fit our understanding level on the topic, so that we could gain more useful knowledge that could further help us harness the tools in our daily works.
