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PyO3: From Python to Rust and Back Again (with David Hewitt)

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Manage episode 427013616 series 3476072
Content provided by Kris Jenkins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kris Jenkins or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

There’s huge pressure on Python at the moment to get faster, ideally without changing at all. One increasingly–popular way of achieving that impossible task is to push the performance critical code down into C, C++, or Rust. And this week we’re focussing on the Python route, as we take a look at PyO3.

David Hewitt’s the principal committer to PyO3, and he joins us to go through the easy parts, the hard parts, and the works in progress, giving us an insight into how Python and Rust work under the hood, and quite how much work it takes to make them work as one.

PyO3 User Guide: https://pyo3.rs/v0.22.0/

PyO3 on Github: https://github.com/PyO3/pyo3

Polars: https://pola.rs/

Tokio: https://tokio.rs/

Trio: https://trio.readthedocs.io/

Robyn: https://github.com/sparckles/Robyn

Faster CPython: https://github.com/faster-cpython

Maturin: https://www.maturin.rs/

David on Mastodon: https://fosstodon.org/@davidhewitt

David on Twitter: https://x.com/davidhewittdev

Kris on Mastodon: http://mastodon.social/@krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Kris on Twitter: https://x.com/krisajenkins

  continue reading

65 episodes

Artwork
iconShare
 
Manage episode 427013616 series 3476072
Content provided by Kris Jenkins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kris Jenkins or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

There’s huge pressure on Python at the moment to get faster, ideally without changing at all. One increasingly–popular way of achieving that impossible task is to push the performance critical code down into C, C++, or Rust. And this week we’re focussing on the Python route, as we take a look at PyO3.

David Hewitt’s the principal committer to PyO3, and he joins us to go through the easy parts, the hard parts, and the works in progress, giving us an insight into how Python and Rust work under the hood, and quite how much work it takes to make them work as one.

PyO3 User Guide: https://pyo3.rs/v0.22.0/

PyO3 on Github: https://github.com/PyO3/pyo3

Polars: https://pola.rs/

Tokio: https://tokio.rs/

Trio: https://trio.readthedocs.io/

Robyn: https://github.com/sparckles/Robyn

Faster CPython: https://github.com/faster-cpython

Maturin: https://www.maturin.rs/

David on Mastodon: https://fosstodon.org/@davidhewitt

David on Twitter: https://x.com/davidhewittdev

Kris on Mastodon: http://mastodon.social/@krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Kris on Twitter: https://x.com/krisajenkins

  continue reading

65 episodes

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