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How does the performance of an algorithm hold up when you put it into a realistic context? Where might Python code defy Big O notation expectations when using a profiler? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
👉 Links from the show:
Christopher shares an article about why real-world performance often defies Big O expectations. The piece starts with a task coded in Go and then optimized from `O(n²)` to `O(n)`. Can an interpreted language like Python compete with a compiled language? Profiling the performance of both versions provides some interesting results.
We also share several other articles and projects from the Python community, including a news roundup, the fastest way to detect a vowel in a string, whether Python dictionaries are ordered data structures, an overview of Python's `enum` module, a Python client library for Google Data Commons, and a project to convert plain ASCII to "smart" punctuation.
Topics:
- 00:00:00 -- Introduction
- 00:02:12 -- ruff Release 0.12.0
- 00:02:38 -- streamlit Release 1.46.0
- 00:02:48 -- lxml 6.0.0 Released
- 00:03:00 -- PSF Board Election Schedule
- 00:03:26 -- Are Python Dictionaries Ordered Data Structures?
- 00:08:59 -- The Fastest Way to Detect a Vowel in a String
- 00:16:37 -- Module enum Overview
- 00:24:46 -- Video Course Spotlight
- 00:26:24 -- O(no) You Didn't
- 00:38:34 -- New Python Client Library for Google Data Commons
- 00:41:55 -- smarty
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2025/07/11
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