Dev Blog

Summary ​

Conclusions ​

CPython executes bytecode, PyCharm organizes development, the environment separates dependencies, and Git stores history. Running a program requires code and the correct interpreter; sharing a project also requires a dependency specification and instructions.

Self-check questions ​

  1. How does the Python language differ from CPython and PyPy?
  2. How do you choose a Python branch for a learning project?
  3. How does bytecode differ from source code?
  4. Why might __pycache__ not appear after running a script?
  5. Where do you enter shell commands, and where do you enter Python expressions?
  6. What are main() and the __name__ check for?
  7. How do you read a traceback and find the line with the error?
  8. How do Run, Python Console, and Terminal differ?
  9. How do you verify the project interpreter?
  10. Is activating a virtual environment required?
  11. Why is the python -m pip form useful?
  12. What does requirements.txt store, and what does it not describe?
  13. What does uv use pyproject.toml and uv.lock for?
  14. How do the working directory, staging area, and repository differ?
  15. Which files must you share to reproduce a lab assignment?