Comparing Real-World Python Performance Against Big O

Comparing Real-World Python Performance Against Big O

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.

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Episoder(315)

Codemoo: Demonstrating How Coding Agents Work

Codemoo: Demonstrating How Coding Agents Work

How do you assemble the core pieces of a coding agent? How are developers defining projects through conversation and introspection? This week on the show, Geir Arne Hjelle returns to talk about his re...

9 Okt 1h 7min

Python 3.15: Exploring the New Features

Python 3.15: Exploring the New Features

Python 3.15 is (almost*) here! Christopher Trudeau and Bartosz Zaczyński return to discuss the new version. Bartosz coordinated the series of preview articles with members of the Real Python team and ...

2 Okt 44min

Navigating AI in Open Source: Insights From Wagtail

Navigating AI in Open Source: Insights From Wagtail

How should you manage AI contributions to an open-source project? How do you measure the impact of using AI tools for development, and what generative features do end users want from a content managem...

25 Sep 1h 7min

Django Developers Survey Results & Reproducible Python Builds

Django Developers Survey Results & Reproducible Python Builds

What are the latest trends uncovered in the 2026 Django Developers Survey? How are Django users employing LLMs in their development process? Christopher Trudeau is back on the show this week with anot...

11 Sep 46min

Performance Engineering: Profiling and Making Apps Fast by Default

Performance Engineering: Profiling and Making Apps Fast by Default

How do you plan for the performance of your Python applications? What does a performance budget entail, and where should you spend your resources? This week on the show, we speak with Den Odell about ...

4 Sep 1h 16min

Exploring Complex Systems & Maintainable Data Science Pipelines

Exploring Complex Systems & Maintainable Data Science Pipelines

What are the key characteristics of complex systems, and what are practical patterns for tackling complex coding problems? Christopher Trudeau is back on the show this week with another batch of PyCod...

28 Aug 41min

Navigating Silent Failures in AI: Strategies for Effective Oversight

Navigating Silent Failures in AI: Strategies for Effective Oversight

Why do AI systems silently fail? How can you set up a system that produces results while also reviewing and validating the work? This week on the show, Calvin Hendryx-Parker returns to discuss his rec...

21 Aug 1h 9min

Improving NumPy Performance on Free-Threaded Python

Improving NumPy Performance on Free-Threaded Python

What bottlenecks were preventing NumPy from scaling on free-threaded Python? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.

14 Aug 46min

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