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Talk Python To Me

#487: Building Rust Extensions for Python

Dec 1, 2024
David Seddon, a Django expert at Octopus Energy, and Samuel Colvin, the creator of Pydantic, dive into the integration of Rust into Python for enhanced performance. They discuss the massive shifts in the Python ecosystem and the benefits of using Rust, particularly through the Pydantic library. Topics include managing a large-scale Django monolith, the stricter parsing behavior of Pydantic, and the introduction of Logfire for observability. The conversation also highlights tools like Jitter and the architectural strategies for building Python packages.
01:02:24

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Quick takeaways

  • The migration of performance-sensitive Python components to Rust significantly enhances efficiency and safety, exemplified by tools like UV and Ruff.
  • Pydantic's transition to Rust for its core functionalities has driven immense growth, culminating in Pydantic V2 and hundreds of millions of downloads.

Deep dives

The Shift to Rust in Python Projects

There is a growing trend in the Python community, with many projects moving critical components to Rust for performance improvements. The decision to rewrite performance-sensitive sections in Rust is driven by its ability to enhance efficiency and safety compared to traditional Python code. This transition is exemplified by tools like UV and Ruff, which are adopting Rust instead of Python for core functionalities. Such ventures not only promise faster execution times but also improve the reliability of software by leveraging Rust's memory safety features.

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