DjangoCon Europe 2024 | Supercharging your Python Development Environment

Python Testing

Supercharge your Python development environment with expert tips on naming conventions, code editors, interpreters, dependency management, and more.

Key takeaways

Use a consistent naming conventions: Use a consistent naming convention for your projects and modules to keep track of your codebase.
Use a Visual Studio Code (VS Code): VS Code is a powerful code editor with a lot of extensions that can enhance your development experience.
Set up a Python interpreter: Set up a Python interpreter in your VS Code to easily switch between projects and execute code.
Use pip-compile: Use pip-compile to manage dependencies and ensure reproducibility.
Use a task runner: Use a task runner like Poetry or pipx to manage dependencies and tasks.
Make your code reproducible: Make your code reproducible by using version control and dependencies.
Use a CI/CD pipeline: Use a CI/CD pipeline to automate your testing and deployment process.
Use a testing framework: Use a testing framework like UnitTest or Pytest to write automated tests.
Split your project into modules: Split your project into modules to keep your code organized and maintainable.
Document your code: Document your code with comments and docstrings to help others understand your code.
Use a code formatter: Use a code formatter like Black or Prettier to keep your code consistent and readable.
Use a linter: Use a linter like Flake8 or Pylint to catch errors and improve code quality.

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