PEP 736: Shorthand Syntax for Keyword Arguments

Type information for faster Python C extensions

SIMD in Pure Python

SQLALchemy vs Django ORM

NumPy 2 is coming: preventing breakage, updating your code

Why all([]) is true, prod([]) is 1, etc

Legal and Stripe - Building SaaS with Python and Django #179

In this episode, we took care of the legal obligations of the site by setting up Terms of Service and a Privacy Policy page. Then we moved on to the next portion of signup, which is to configure Stripe to create customers and prepare, ultimately, to accept subscription payments.

New Low-Impact Monitoring API in Python 3.12

Python support for the Linux perf profiler

Fastest Way to Read Excel in Python

Build an Instant Messaging App With Django

Fine Tuning Python WSGI and ASGI applications for Flask, Django, and FastAPI

Exploring strategies for optimal Gunicorn, Uvicorn and Hypercorn configurations for Flask, Django, and FastAPI.

Sign Up - Building SaaS with Python and Django #178

In this episode, we did some work on the sign up template. In the process, we added some base template styling, talked about branding, and considered the other elements that are required before we can turn on sign up for others. I also cover waffle as a feature flag tool.

Asyncio Task Cancellation Best Practices

How many CPU cores can you actually use in parallel?

Top 42 Python libraries you need to know

Create a Subscription SaaS Application With Django and Stripe

All the technical details of creating a subscription SaaS business using the Python-based Django web framework and Stripe payment processor.

How to Deploy Reflex Apps to Fly.io

Reflex is a recent entrant to the world of Python web frameworks. Fly.io is a hosting provider that lets you host your applications in production really quickly. This articles shows you how to deploy Reflex applications on Fly.io.

Pytest Daemon: 10X Local Test Iteration Speed

Discord has a large Python monolith with lots of imports, which now takes 13 seconds to start up. On the server that’s not a problem but to run a test it is. Ruby’s solution is to have a daemon that hot loads a test on a process that already has the imports completed.

Python⇒Speed: How many CPU cores can you actually use in parallel?