What are your options for hosting your Python application or scripts? What are the advantages of a platform as a service, container-based hosts, or setting up a virtual machine? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We discuss a recent article about hosting Python applications. The piece digs into the differences between using containers or platform-provided tools to automatically configure your project. We also cover an older article listing several free hosting options for smaller projects or Python scripts.

The Python documentary premiered this past week, and we provide a synopsis and our thoughts. Following a similar theme, we cover our recent code conversation video course, which explores the history of Python versions and the features added across the releases.

We also share several other articles and projects from the Python community, including a news roundup, regex affordances, four different ways to speed up your code, a Python-based music library manager, a tool to visualize the structure of your data in Python, and a project for exploring color science in Python.

This episode is sponsored by InfluxData.

Course Spotlight: A History of Python Versions and Features

Explore Python’s evolution from the 1990s to today with a brief history and demos of key features added throughout its lifetime.

Topics:

00:00:00 – Introduction
00:03:02 – PEP 728: TypedDict With Typed Extra Items
00:04:09 – Django security releases issued: 5.2.6, 5.1.12, and 4.2.24
00:04:37 – Python Type System and Tooling Survey 2025
00:04:56 – Python: The Documentary - An Origin Story
00:14:11 – A History of Python Versions and Features
00:16:58 – Sponsor: InfluxData
00:17:48 – Regex Affordances
00:21:34 – Where to Host Your Python App
00:26:48 – Best hosting platforms for Python applications and Python scripts
00:30:18 – Video Course Spotlight
00:31:59 – 330× Faster: Four Different Ways to Speed Up Your Code
00:37:18 – beets: Music Library Manager
00:39:12 – Memory Graph - GitHub
00:40:49 – colour: Colour Science for Python
00:42:35 – Thanks and goodbye

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