python

I use python occasionally (mainly for quick scripts).

I also use python professionally (in a Data Science context, in a DataLake SaaS).

Here’s a few things I learned/recommend:

• Find a good project/dependency management tool
  • uv, poetry, hatch, conda/mamba, etc…
• Follow a structure in projects (src/, etc…)
• Pin dependencies (and use something like renovate or dependabot).
• Find a good logging library if needed
  • loguru, structlog, etc…
• Use pytest as the test framework
  • use many of its sub-dependencies when needed
    • such as pytest-env, pytest-mock, etc…
    • fixtures are a great way to reduce code that sets up a test.
• Read up on decorators, list comprehension, and the walrus operator (:=).