cover of episode #486: CSnakes: Embed Python code in .NET

#486: CSnakes: Embed Python code in .NET

2024/11/22
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Anthony Shaw 介绍了 CSnakes 项目，旨在解决 .NET 开发者希望在项目中利用 Python 丰富的库（尤其是数据科学和机器学习领域）的难题。CSnakes 允许 .NET 应用直接使用 CPython 生态中的库，包括那些基于 C 扩展的库，例如 NumPy 和 Pandas。它通过在 .NET 进程中嵌入 CPython 解释器来实现与 Python 代码的交互，并利用类型提示和代码生成技术自动处理 .NET 和 Python 之间的数据类型转换，从而简化了开发流程并提高了性能。CSnakes 还支持 Buffer Protocol，可以高效地在 .NET 和 Python 之间共享 NumPy 数据，避免数据拷贝。该项目提供了一个 Web 应用示例，演示了如何将 Python 代码集成到 .NET Web 应用中，并与数据库和 OpenTelemetry 集成，展示了其在实际应用场景中的 khả năng。Aaron Powell 补充说明了 CSnakes 的使用方法，包括 NuGet 包的安装、.csproj 文件的配置以及 Python 环境的设置等。

Deep Dive

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Introduction to the concept of integrating Python libraries into .NET code using CSnakes, a project by Anthony Shaw and Aaron Powell.
  • CSnakes project enables .NET developers to use almost 600,000 Python packages.
  • Previous efforts allowed Python syntax but lacked full library integration.

Shownotes Transcript

If you are a .NET developer or work in a place that has some of those folks, wouldn't it be great to fully leverage the entirety of PyPI with it's almost 600,000 packages inside your .NET code? But how would you do this? Previous efforts have let you write Python syntax but using the full libraries (especially the C-based ones) has been out of reach, until CSnakes. This project by Anthony Shaw and Aaron Powell unlocks some pretty serious integration between the two languages. We have them both here on the show today to tell us all about it.

Episode sponsors

Posit) Bluehost) Talk Python Courses)

Links from the show

Anthony Shaw: github.com) Aaron Powell: github.com)

Introducing CSnakes: tonybaloney.github.io) CSnakes: tonybaloney.github.io)

Talk Python: We've moved to Hetzner: talkpython.fm/blog) Talk Python: Talk Python rewritten in Quart (async Flask): talkpython.fm/blog)

Pyjion - A JIT for Python based upon CoreCLR: github.com) Iron Python: ironpython.net) Python.NET: pythonnet.github.io) The buffer protocol: docs.python.org)

Avalonia UI: avaloniaui.net) Watch this episode on YouTube: youtube.com) Episode transcripts: talkpython.fm)

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