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Nội dung được cung cấp bởi Real Python. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Real Python hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
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Python Getting Faster and Leaner & Ideas for Django Projects

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Manage episode 446774824 series 2637014
Nội dung được cung cấp bởi Real Python. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Real Python hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

What changes are happening under the hood in the latest versions of Python? How are these updates laying the groundwork for a faster Python in the coming years? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

Christopher shares an article about Python’s recent performance improvements. The piece covers the specialized adaptive interpreter and explains what those terms mean. It also includes details about the experimental feature of the Just-In-Time (JIT) compiler added in 3.13.

We dig into a collection of Django projects you can use to practice and develop your skills. The projects ramp up from detailed beginner tutorials to more advanced projects with guidelines on how to get started. We also discuss a collection of popular websites that use Django.

We share several other articles and projects from the Python community, including a batch of recent Python Enhancement Protocols (PEPs), a couple of Python releases, using DuckDB in the browser with Pyodide, building a contact book app with Textual, generating a tiny status page with a Python script, and a grep-like tool that understands code.

This episode is sponsored by AssemblyAI.

Course Spotlight: Building a Site Connectivity Checker

In this video course, you’ll build a Python site connectivity checker for the command line. While building this app, you’ll integrate knowledge related to making HTTP requests with standard-library tools, creating command-line interfaces, and managing concurrency with asyncio and aiohttp.

Topics:

  • 00:00:00 – Introduction
  • 00:03:11 – PEP 777: How to Re-Invent the Wheel
  • 00:04:22 – PEP 758: Allow except and except* Expressions Without Parentheses
  • 00:04:51 – PEP 760: No More Bare Excepts (Withdrawn)
  • 00:05:42 – PEP 735: Dependency Groups in pyproject.toml
  • 00:06:29 – PEP 761: Deprecating PGP Signatures for CPython Artifacts
  • 00:06:59 – Python 3.12.7 Released
  • 00:07:12 – Incremental GC and Pushing Back the 3.13.0 Release
  • 00:09:10 – DuckDB in the Browser With Pyodide
  • 00:15:35 – Sponsor: AssemblyAI
  • 00:16:18 – Build a Contact Book App With Python, Textual, and SQLite
  • 00:21:55 – Django Project Ideas
  • 00:28:42 – Video Course Spotlight
  • 00:30:00 – In the Making of Python Fitter and Faster
  • 00:35:13 – tinystatus: Tiny Status Page Generated by a Python Script
  • 00:38:06 – srgn: Grep-Like Tool That Understands Code
  • 00:42:01 – Thanks and goodbye

News:

Show Links:

  • DuckDB in the Browser With Pyodide – Learn how to run DuckDB in an in-browser Python environment to enable simple querying on remote files, interactive documentation, and easy to use training materials.
  • Build a Contact Book App With Python, Textual, and SQLite – In this tutorial, you’ll be guided step by step through the process of building a basic contact book application. You’ll use Python and Textual to build the application’s text-based user interface (TUI), and then use SQLite to manage the database.
  • Django Project Ideas – Looking to experiment or build your portfolio? Discover creative Django project ideas for all skill levels, from beginner apps to advanced full-stack projects.
  • In the Making of Python Fitter and Faster – This post details how Python’s recent performance improvements work under the hood. It covers changes to the interpreter, better memory management, and the newly experimental JIT compiler.

Projects:

Additional Links:

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

Support the podcast & join our community of Pythonistas

  continue reading

246 tập

Artwork
iconChia sẻ
 
Manage episode 446774824 series 2637014
Nội dung được cung cấp bởi Real Python. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Real Python hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

What changes are happening under the hood in the latest versions of Python? How are these updates laying the groundwork for a faster Python in the coming years? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

Christopher shares an article about Python’s recent performance improvements. The piece covers the specialized adaptive interpreter and explains what those terms mean. It also includes details about the experimental feature of the Just-In-Time (JIT) compiler added in 3.13.

We dig into a collection of Django projects you can use to practice and develop your skills. The projects ramp up from detailed beginner tutorials to more advanced projects with guidelines on how to get started. We also discuss a collection of popular websites that use Django.

We share several other articles and projects from the Python community, including a batch of recent Python Enhancement Protocols (PEPs), a couple of Python releases, using DuckDB in the browser with Pyodide, building a contact book app with Textual, generating a tiny status page with a Python script, and a grep-like tool that understands code.

This episode is sponsored by AssemblyAI.

Course Spotlight: Building a Site Connectivity Checker

In this video course, you’ll build a Python site connectivity checker for the command line. While building this app, you’ll integrate knowledge related to making HTTP requests with standard-library tools, creating command-line interfaces, and managing concurrency with asyncio and aiohttp.

Topics:

  • 00:00:00 – Introduction
  • 00:03:11 – PEP 777: How to Re-Invent the Wheel
  • 00:04:22 – PEP 758: Allow except and except* Expressions Without Parentheses
  • 00:04:51 – PEP 760: No More Bare Excepts (Withdrawn)
  • 00:05:42 – PEP 735: Dependency Groups in pyproject.toml
  • 00:06:29 – PEP 761: Deprecating PGP Signatures for CPython Artifacts
  • 00:06:59 – Python 3.12.7 Released
  • 00:07:12 – Incremental GC and Pushing Back the 3.13.0 Release
  • 00:09:10 – DuckDB in the Browser With Pyodide
  • 00:15:35 – Sponsor: AssemblyAI
  • 00:16:18 – Build a Contact Book App With Python, Textual, and SQLite
  • 00:21:55 – Django Project Ideas
  • 00:28:42 – Video Course Spotlight
  • 00:30:00 – In the Making of Python Fitter and Faster
  • 00:35:13 – tinystatus: Tiny Status Page Generated by a Python Script
  • 00:38:06 – srgn: Grep-Like Tool That Understands Code
  • 00:42:01 – Thanks and goodbye

News:

Show Links:

  • DuckDB in the Browser With Pyodide – Learn how to run DuckDB in an in-browser Python environment to enable simple querying on remote files, interactive documentation, and easy to use training materials.
  • Build a Contact Book App With Python, Textual, and SQLite – In this tutorial, you’ll be guided step by step through the process of building a basic contact book application. You’ll use Python and Textual to build the application’s text-based user interface (TUI), and then use SQLite to manage the database.
  • Django Project Ideas – Looking to experiment or build your portfolio? Discover creative Django project ideas for all skill levels, from beginner apps to advanced full-stack projects.
  • In the Making of Python Fitter and Faster – This post details how Python’s recent performance improvements work under the hood. It covers changes to the interpreter, better memory management, and the newly experimental JIT compiler.

Projects:

Additional Links:

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

Support the podcast & join our community of Pythonistas

  continue reading

246 tập

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