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Pydantic Performance Tips - Talk Python to Me Ep. 466
NiceGUI Goes 3.0 - Talk Python to Me Ep. 525
Python Wrapture - Python Bytes Podcast Ep. 494
PuePy: Reactive frontend framework in Python - Talk Python to Me Ep. 469
The Retry Bug That Double-Charges Customers — and the Python Fix (Ep. 01)
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Is your back end popular - Python Bytes Podcast Ep. 419
Getting Started with Rust as Python Devs - Talk Python to Me Ep. 563
Modern Python monorepo with uv and prek - Talk Python to Me Ep. 540
Data Pipelines with Dagster - Talk Python to Me Ep. 454
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Last Updated: September 19, 2026
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Summary
Here's the situation. You have a How many cores does your machine have, 10, 18? Your async How many files does your query read before it reads any data? On some data lakes, you go through JSON and metadata files first, ... You're about to launch your new app or API, or even just a big refactor of your current project. Will it stand up and deliver when ... You're using Pydantic and it seems pretty straightforward, right? But could you adopt some simple changes to your code that ... Full show notes at pythonbytes.fm/ A customer clicks Pay once. The request times out, they again — and now they've been charged twice. This Do you know what custom GPTs are? They're configurable and shareable Lint the entire CPython code base from scratch. It takes 0.3 seconds. Three blinks of an eye. That is ruff, and it is written in Rust. Presented by: Nina Zakharenko Still Monorepos -- you've heard the talks, you've read the blog posts, maybe you've seen a few tantalizing glimpses into how Google ... Do you have data that you pull from external sources or is generated and appears at your digital doorstep? I bet that data needs ...
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