Python - from research code to semi-production code

Last updated: July-20-2024

In this post, I plan to keep a record on my learning path of Python moving from research code to semi-production code.

Research code: currently, I often write “research code” as a tool to prove/test/verify some concepts, w/o taking into account formal/conventional practice of the specific coding language used. Thus, the code is often not carefully designed for efficient implementations.

As time goes on, I realized the importance of modular code design and want to incorporate more software engineering practices when writing code.

The aim of this post is for future references and hopefully can also gather some information for people who have similar interests. Feel free to reach out if you know some good reference/resources. Thanks!

References:

• Book
  • Fluent Python by Luciano Ramalho, 2nd ed, 2022 link
    • relevant code
    • Extra content
    • Errata
    • My notes (for some reasons, I found myself learning best by breaking down concepts into bullet points):
      • Chapter 1
• Websites:
  • Official Python tutorial link
• Nice videos:
  • A quick review of Python basics:
    • Python Programming by Derek Banas link
      • some quick nice example of Objects (32:03)/Method Overload (39:30)
• Useful libraries:
  • Python testing tools
    • doctest
      • “Test interactive Python examples”
    • pytest
      • unit tests tool