~pycoders | Bookmarks (444)

NumPy Techniques and Practical Examples In this video course, you’ll learn how to use NumPy by exploring several interesting examples. You’ll read data from a file into an array and analyze structured arrays to perform a reconciliation. You’ll also learn how to quickly chart an analysis & turn a custom function into a vectorized function. REAL PYTHON course

Let’s Compile Python 1.0 As part of the celebration of 31 years of Python, Bite Code compiles the original Python 1.0 and plays around with it. BITE CODE!

Save Memory With BytesIO If you want to save memory when reading from a BytesIO object, getvalue() is surprisingly a good choice. ITAMAR TURNER-TRAURING

Decorator JITs: Python as a DSL There are several Just In Time compilation tools out there that allow you to decorate a function to indicate you want it compiled. This article shows you how that works. ELI BENDERSKY

Developer Philosophy The author was recently invited with other senior devs to give a lightning talk on their personal development philosophy. This post captures those thoughts. QNTM

PyPI Now Supports Project Archival The ability to mark a project as archived has been added to the Python Package Index. This article covers what archival can be used for as well as hinting at future improvements. FACUNDO TUESCA

Re-Creating Async in 10 Lines Using Generators This article outlines a simple re-implementation of the concepts available in the async library so you can better learn how it works under the covers. LUCAS SEIKI OSHIRO

Building Cython (Or C) Extensions Using uv Developing Python libraries with C extensions can be tricky. Learn how uv and setuptools can work together to build Cython-powered projects. SIDDHANT GOEL

A Revamped Python String-Formatting Proposal PEP 750 proposes template strings, and the PEP has been through a lot of modifications since it was originally introduced. This article covers the latest and why the changes have been made to the proposal. JAKE EDGE

How to Deal With Missing Data in Polars In this tutorial, you’ll learn how to deal with missing data in Polars to ensure it doesn’t interfere with your data analysis. You’ll discover how to check for missing values, update them, and remove them. REAL PYTHON

Dynamic Forms With Flask This post shows you how to create dynamic web forms, where fields are added on the fly, when coding within the Flask web framework. MIGUEL GRINBERG

Python Rgonomics: 2025 Update “Switching languages is about switching mindsets - not just syntax. New developments in Python data science toolings, like polars and seaborn’s object interface, can capture the ‘feel’ that converts from R/tidyverse love while opening the door to truly pythonic workflows. (Updated from 2025 for new tools).” EMILY RIEDERER

3D Printing Giant Things With a Python Jigsaw Generator This is a long, detailed article on 3D printing objects too large for the printer bed. The author has created dovetail joints to assemble pieces together. He wrote a Python program to automatically split up the larger model files into the jigsaw pieces needed to build a final result. CAL BRYANT

Looking at Django Task Runners and Queues There are a lot of different ways of running asynchronous tasks in Django. This article talks about two mechanisms used by the author, as well as the extra challenge of one-off jobs. KEVIN RENSKERS