PyCoder’s Weekly included over 1,500 links to articles, blog posts, tutorials, and projects in 2025. Christopher Trudeau is back on the show this week to help wrap up everything by sharing some highlights and uncovering a few hidden gems from the pile.

We share the top links explored by PyCoder’s readers. We also dig into trends across all the articles and stories this year. We highlight a few gems that we didn’t cover on the show and a couple that explore the overall themes of the year.

We hope you enjoy this review! We look forward to bringing you an upcoming year full of great Python news, articles, topics, and projects.

Course Spotlight: Using Functional Programming in Python

Boost your Python skills with a quick dive into functional programming: what it is, how Python supports it, and why it matters.

Topics:

00:00:00 – Introduction
00:01:52 – Django 6.0 released
00:02:58 – The Inner Workings of Python Dataclasses Explained
00:03:40 – Going Beyond requirements.txt With pylock.toml and PEP 751
00:04:58 – Django vs. FastAPI, An Honest Comparison
00:05:46 – How to Use Loguru for Simpler Python Logging
00:06:47 – Narwhals: Unified DataFrame Functions
00:08:32 – Observations and statistics for the year of articles
00:13:23 – Data Validation Libraries for Polars (2025 Edition)
00:18:53 – Video Course Spotlight
00:20:25 – Create Temporary Files and Directories in Unittest
00:22:27 – Capture Stdout and Stderr in Unittest
00:24:59 – I don’t like NumPy
00:26:34 – Python performance myths and fairy tales
00:31:05 – Congratulations on making through 2025!

News:

Django 6.0 released - Django Weblog

Top PyCoders Links 2025:

The Inner Workings of Python Dataclasses Explained – Discover how Python dataclasses work internally! Learn how to use __annotations__ and exec() to make our own dataclass decorator!
Episode #249: Going Beyond requirements.txt With pylock.toml and PEP 751 – What is the best way to record the Python dependencies for the reproducibility of your projects? What advantages will lock files provide for those projects? This week on the show, we welcome back Python Core Developer Brett Cannon to discuss his journey to bring PEP 751 and the pylock.toml file format to the community.
Django vs. FastAPI, An Honest Comparison – David has worked with Django for a long time, but recently has done some deeper coding with FastAPI. As a result, he’s able to provide a good contrast between the libraries and why/when you might choose one over the other.
How to Use Loguru for Simpler Python Logging – Real Python – In this tutorial, you’ll learn how to use Loguru to quickly implement better logging in your Python applications. You’ll spend less time wrestling with logging configuration and more time using logs effectively to debug issues.
Narwhals: Unified DataFrame Functions for pandas, Polars, and PySpark – Narwhals is a lightweight compatibility layer between DataFrame libraries. You can use it as a common interface to write reproducible and maintainable data science code which supports pandas, Polars, DuckDB, PySpark, PyArrow, and more.

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