Revolutionize Your Python Development with GitHub Copilot: Tips, Tricks, and Best Practices​ ​

In software development, maximizing productivity and streamlining the coding process is crucial. GitHub Copilot is an AI-powered code completion tool developed with OpenAI that can help. In this session, we'll explore how GitHub Copilot can boost your Python development efficiency.

We'll cover how to install and integrate Copilot with popular code editors or IDEs, and provide practical tips to make the most out of Copilot's intelligent code suggestions. Copilot can assist in generating view functions, automating repetitive code snippets, and more.

Learn how to integrate Copilot into your development workflow while maintaining code quality and following best practices. We'll also address the potential benefits, challenges, and ethical considerations associated with leveraging AI-powered tools like Copilot in your Python projects.

Whether you're a seasoned developer or just getting started, this session will equip you with valuable insights and strategies to turbocharge your development with GitHub Copilot. Join us for an immersive session packed with demonstrations, best practices, and real-world examples that showcase the powerful synergy between Python development and GitHub Copilot, revolutionizing the way you write code.

Transcript

1. Revolutionize Your Python Development with GitHub Copilot: Tips, Tricks, and Best Practices Olayinka Atobiloye
2. How many percent of time does an average developer spend on writing repetitive code?
3. According to a 2023 survey by Stack Overflow, software developers spend an average of 22% of their time writing repetitive code.
4. Who am I? • Fourth year Computer Engineering student • Software Engineer • Technical Writer • GitHub Campus Expert • Passionate about diversity & inclusion in tech
5. What is GitHub Copilot? GitHub Copilot is an AI-powered code completion tool developed with OpenAI that can help you write code faster and with fewer errors. It works by analyzing the context of your code and providing suggestions for completing functions, generating documentation, and refactoring code. GitHub Copilot is still under development, but it has already become a popular tool for Python developers.
6. Why use GitHub Copilot for Python development? INCREASED PRODUCTIVITY IMPROVED CODE QUALITY REDUCED ERRORS: GITHUB FASTER DEVELOPMENT TIME MORE CREATIVITY AND INNOVATION
7. Installing GitHub Copilot To install GitHub Copilot, you will need to have a GitHub account and a compatible IDE. GitHub Copilot is currently supported by the following IDEs: • Visual Studio Code • Neovim • IntelliJ IDEA • JetBrains Rider • PyCharm
8. Integrating GitHub Copilot To install GitHub Copilot in Visual Studio Code, follow these steps: • Open Visual Studio Code and press Ctrl+Shift+P to open the Command Palette. • Type install extensions and select Install Extensions. • Search for GitHub Copilot and click Install. • To install GitHub Copilot in another IDE, please refer to the documentation for that IDE.
9. Basic usage of GitHub Copilot • To use GitHub Copilot, simply start typing code and Copilot will provide suggestions for completing your code. You can also use Copilot to generate documentation and refactor code.
10. To generate a suggestion, simply type a comment or function name and press Tab. GitHub Copilot will provide a suggestion based on the context of your code.
11. To accept a suggestion, simply press Enter. GitHub Copilot will insert the code into your file.
12. To reject a suggestion, simply press Escape. GitHub Copilot will hide the suggestion.
13. You can also use GitHub Copilot to generate documentation and refactor code. To generate documentation, simply type a triple-slash comment (///) and press Enter. GitHub Copilot will generate documentation for the function or class that you are commenting.
14. To refactor code, simply type a comment with the word refactor in it and press Enter. GitHub Copilot will provide suggestions for refactoring your code.
15. Practical Tips for Using GitHub Copilot
16. Use descriptive comments to guide Copilot GitHub Copilot can better understand your code and provide more accurate suggestions if you use descriptive comments. For example, if you are writing a function to calculate the area of a triangle, you could write a comment like this:
17. Be specific with your code requests The more specific you are with your code requests, the better Copilot will be able to understand what you want and provide a helpful suggestion. For example, instead of saying "generate a function to calculate the area of a triangle", you could say "generate a function to calculate the area of a triangle given the base and height". This will help Copilot to generate a more accurate function that meets your needs.
18. Review and accept Copilot suggestions carefully Copilot is still under development, so it is important to review and accept its suggestions carefully. Don't just blindly accept everything that Copilot suggests. Take some time to review the code and make sure that it is correct and that it does what you want it to do.
19. Test your code thoroughly Once you have accepted a Copilot suggestion, it is important to test your code thoroughly to make sure that it is working correctly. Copilot is still under development, so it is possible that it could generate incorrect code. It is important to test your code thoroughly to avoid any problems.
20. Find me online at • Twitter (yinkaatobiloye) • LinkedIn (Olayinka Atobiloye)
21. Thank you