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Benchmarking Python 3.14 & Enabling Asyncio to Scale

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Conteúdo fornecido por Real Python. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Real Python ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

How does Python 3.14 perform under a few hand-crafted benchmarks? Does the performance of asyncio scale on the free-threaded build? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

At the top of the show, we have a mountain of release news and Python Enhancement Proposals to cover. Then, we dig into a couple of articles covering the performance of Python 3.14. The first is a benchmarking comparison of the last several Python versions and their variations, including JIT and free-threaded mode. The second explores the changes in 3.14 that enable asyncio to scale on CPython’s free-threaded build.

We also share several other articles and projects from the Python community, including an introduction to NiceGUI, a free-threaded Python library compatibility checker, an exploration of what is “good taste” in software engineering, HTML templating with t‑strings, and a tool for testing Sphinx docs instantly in the browser.

Course Spotlight: Documenting Python Projects With Sphinx and Read the Docs

In this video series, you’ll create project documentation from scratch using Sphinx, the de facto standard for Python. You’ll also hook your code repository up to Read the Docs to automatically build and publish your code documentation.

Topics:

  • 00:00:00 – Introduction
  • 00:02:28 – Python 3.12.12, 3.11.14, 3.10.19 and 3.9.24 now available
  • 00:03:08 – Python 3.13.9 is now available
  • 00:03:26 – Python 3.15.0 alpha 1
  • 00:04:02 – PEP 804: An External Dependency Registry and Name Mapping Mechanism
  • 00:04:56 – PEP 806: Mixed Sync/Async Context Managers With Precise Async Marking
  • 00:06:34 – PEP 807: Index Support for Trusted Publishing
  • 00:07:21 – PEP 809: Stable ABI for the Future
  • 00:08:10 – PEP 810: Explicit Lazy Imports
  • 00:10:31 – Python lazy imports you can use today
  • 00:10:48 – Lazy Imports Using wrapt
  • 00:11:18 – Python 3.14 Is Here. How Fast Is It?
  • 00:17:45 – Free-Threaded Python Library Compatibility Checker
  • 00:19:54 – Scaling Asyncio on Free-Threaded Python
  • 00:24:06 – Real Python 3.14 Resources
  • 00:25:18 – Video Course Spotlight
  • 00:26:31 – Intro to NiceGUI: Build Interactive Python Web Apps
  • 00:30:22 – What Is “Good Taste” in Software Engineering?
  • 00:40:52 – Try Sphinx Docs Instantly in Your Browser
  • 00:43:11 – Introducing tdom: HTML Templating With t‑strings
  • 00:46:21 – Thanks and goodbye

News:

Show Links:

Discussion:

Projects:

Additional Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

277 episódios

Artwork
iconCompartilhar
 
Manage episode 515368668 series 2637014
Conteúdo fornecido por Real Python. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Real Python ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

How does Python 3.14 perform under a few hand-crafted benchmarks? Does the performance of asyncio scale on the free-threaded build? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

At the top of the show, we have a mountain of release news and Python Enhancement Proposals to cover. Then, we dig into a couple of articles covering the performance of Python 3.14. The first is a benchmarking comparison of the last several Python versions and their variations, including JIT and free-threaded mode. The second explores the changes in 3.14 that enable asyncio to scale on CPython’s free-threaded build.

We also share several other articles and projects from the Python community, including an introduction to NiceGUI, a free-threaded Python library compatibility checker, an exploration of what is “good taste” in software engineering, HTML templating with t‑strings, and a tool for testing Sphinx docs instantly in the browser.

Course Spotlight: Documenting Python Projects With Sphinx and Read the Docs

In this video series, you’ll create project documentation from scratch using Sphinx, the de facto standard for Python. You’ll also hook your code repository up to Read the Docs to automatically build and publish your code documentation.

Topics:

  • 00:00:00 – Introduction
  • 00:02:28 – Python 3.12.12, 3.11.14, 3.10.19 and 3.9.24 now available
  • 00:03:08 – Python 3.13.9 is now available
  • 00:03:26 – Python 3.15.0 alpha 1
  • 00:04:02 – PEP 804: An External Dependency Registry and Name Mapping Mechanism
  • 00:04:56 – PEP 806: Mixed Sync/Async Context Managers With Precise Async Marking
  • 00:06:34 – PEP 807: Index Support for Trusted Publishing
  • 00:07:21 – PEP 809: Stable ABI for the Future
  • 00:08:10 – PEP 810: Explicit Lazy Imports
  • 00:10:31 – Python lazy imports you can use today
  • 00:10:48 – Lazy Imports Using wrapt
  • 00:11:18 – Python 3.14 Is Here. How Fast Is It?
  • 00:17:45 – Free-Threaded Python Library Compatibility Checker
  • 00:19:54 – Scaling Asyncio on Free-Threaded Python
  • 00:24:06 – Real Python 3.14 Resources
  • 00:25:18 – Video Course Spotlight
  • 00:26:31 – Intro to NiceGUI: Build Interactive Python Web Apps
  • 00:30:22 – What Is “Good Taste” in Software Engineering?
  • 00:40:52 – Try Sphinx Docs Instantly in Your Browser
  • 00:43:11 – Introducing tdom: HTML Templating With t‑strings
  • 00:46:21 – Thanks and goodbye

News:

Show Links:

Discussion:

Projects:

Additional Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

277 episódios

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