Talk Python to Me: #412: PEP 711 - Distributing Python Binaries

Audio

Talk Python to Me: #411: Things I Wish Someone Had Explained To Me Sooner About Python

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The Real Python Podcast – Episode #153: Seeking Faster Text Processing & Python's .__repr__() vs .__str__()

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

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

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

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

Podcast

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

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

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

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

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

PEP 709 – Inlined comprehensions

Идея ускорения comprehensions. Пока в состоянии draft

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]

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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.

The Real Python Podcast – Episode #142: Orchestrating Large and Small Projects With Apache Airflow

Talk Python to Me: #400: Ruff - The Fast, Rust-based Python Linter

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