Python Bytes: #330 Your data, validated 5x-50x faster, coming soon

Очередной выпуск англоязычного подкаста Python Bytes

Talk Python to Me: #410: The Intersection of Tabular Data and Generative AI

Audio

Talk Python to Me: #409: Privacy as Code with Fides

Audio

Python Bytes: #329 Creating very old Python code

Очередной выпуск англоязычного подкаста Python Bytes

Talk Python to Me: #408: Hatch: A Modern Python Workflow

Audio

The Real Python Podcast – Episode #150: Lessons Learned From Four Years Programming With Python

Podcast

Python Bytes: #328 We are going to need some context here

Очередной выпуск англоязычного подкаста Python Bytes

Talk Python to Me: #407: pytest tips and tricks for better testing

Audio

The Real Python Podcast – Episode #149: Coding With namedtuple & Python's Dynamic Superpowers

Python Bytes: #327 Untangling XML with Pydantic

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Talk Python to Me: #406: Reimagining Python's Packaging Workflows

Audio

Talk Python to Me: #405: Testing in Radio Astronomy with Python and pytest

Audio

The Real Python Podcast – Episode #147: Django Deployment Strategies & Preparing for PyCascades 2023

PEP 709 – Inlined comprehensions

Идея ускорения comprehensions. Пока в состоянии draft

Python Bytes: #325 It's called a merge conflict

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The Real Python Podcast – Episode #146: Using NumPy and Linear Algebra for Faster Python Code

Why Type Hinting Sucks!

Talk Python to Me: #402: Polars: A Lightning-fast DataFrame for Python [updated audio]

Audio

Pros and Cons of Dynamic Languages

This conversation is around Luke Plant’s excellent article Python’s “Disappointing” Superpowers that describes specific uses of Python’s dynamic capabilities that wouldn’t be possible in a static typed language.

Python Bytes: #321 A Memorial To Apps Past

Очередной выпуск англоязычного подкаста Python Bytes