Christopher Trudeau, a regular contributor to the Python community, discusses the nuances of Python jargon and its ties to other programming languages. He highlights an unofficial glossary crafted by Trey Hunner, enhancing understanding for newcomers. The conversation also celebrates Python's 31st anniversary by recounting the process of compiling Python 1.0, revealing its surprising capabilities. Additionally, Trudeau unpacks innovative community projects, including managing Django queues and exploring NumPy techniques, blending technical insights with engaging stories.
Nadia Eghbal's "Working in Public" delves into the collaborative nature of open-source software development. The book explores the social dynamics, motivations, and challenges involved in building and maintaining software projects through collective effort. Eghbal examines various models of collaboration, highlighting the importance of community building and shared responsibility. The book offers valuable insights into the complexities of open-source projects and their impact on the broader technological landscape. It serves as a guide for understanding and participating in these collaborative endeavors.
How do you learn the terms commonly used when speaking about Python? How is the jargon similar to other programming languages? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.
We discuss a Python glossary recently created by Trey Hunner. Trey describes it as an unofficial glossary and Python jargon file. We dig into the terms and colloquial language often used when describing Python.
We cover a blog post celebrating 31 years of Python by compiling Python 1.0. The piece walks through the hoops of finding the source code and standing up an old version of Debian. Once compiled, they open the REPL and find it surprisingly capable.
We also share several other articles and projects from the Python community, including release news, a Python enhancement proposal roundup, managing Django’s queue, a course about NumPy techniques including practical examples, getting platform-specific directories, detecting which shell is in use, and a project for sorted container types.
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 and turn a custom function into a vectorized function.
Topics:
00:00:00 – Introduction
00:02:42 – Python Release 3.14.0a5
00:02:54 – PyPy v7.3.18 Released
00:03:32 – Beautifulsoup 4.13 Released
00:04:13 – PEP 759: External Wheel Hosting (Withdrawn)
00:04:54 – PEP 2026: Calendar Versioning for Python (Rejected)
00:06:48 – PEP 739: Static Description File for Build Details (Accepted)
00:07:51 – PEP 765: Disallow Return/Break/Continue That Exit a Finally Block (Accepted)
00:09:01 – Python Terminology: An Unofficial Glossary
00:19:32 – Sponsor: Postman
00:20:28 – NumPy Techniques and Practical Examples
00:24:12 – Let’s Compile Python 1.0
00:28:55 – Video Course Spotlight
00:30:14 – Managing Django’s Queue
00:36:41 – platformdirs: Get Platform-Specific Dirs
00:39:57 – shellingham: Tool to Detect Surrounding Shell
00:41:02 – python-sortedcontainers: Python Sorted Container Type
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 and turn a custom function into a vectorized function.
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.
Managing Django’s Queue – Carlton is one of the core developers of Django. This post talks about staying on top of the incoming pull-requests, bug fixes, and everything else in the development queue.
The Real Python Podcast 
