Editing Python, Software Development, and Tools

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A great post about the power of a “good enough” mindset — building the simplest version that solves the problem, shipping early, and iterating only when real usage justifies it. I really like this pragmatic, anti-perfection approach that keeps momentum high and avoids over-engineering.

Fixing lazy imports: Generating Static Types Dynamically
So I've just released a package called lazy-helper. This comes as lazy loading has been a hot topic once again due to…
blog.changs.co.uk

The post introduces lazy-helper, a tool that lets you lazy-load Python modules but still keep your editor and type checker happy. It fixes the usual lazy-import headache by auto-generating .pyi stubs so everything still shows up correctly in autocomplete.

Django: implement HTTP bearer authentication - Adam Johnson
HTTP has a general authentication framework that defines a pattern into which various authentication schemes can fit…
adamj.eu

The post explains a new Django feature that makes handling Bearer token authentication much simpler. Instead of writing custom middleware, you can now plug in Django’s built-in support to cleanly authenticate API requests using bearer tokens.

The Gnome Village
Deep-dive articles on building robust fintech back-ends.
www.happihacking.com

The post uses a “gnome village” metaphor to show how BEAM’s isolated processes and message passing make systems safer, more scalable, and easier to evolve. I’ve seen this in practice — when I built a Level-2 market data subscriber in Erlang, pattern matching boosted performance by about 60% compared to my Python version, and the built-in supervisor tree made the whole system more readable and maintainable right out of the box.

Read the full article here: https://medium.com/@denis.volokh/python-software-development-and-tools-digest-53-2a9356f8448a