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Mojo Lang - Tomorrow's High Performance Python? (with Chris Lattner)

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Manage episode 415727404 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.

Mojo is the latest language from the creator of Swift and LLVM. It’s an attempt to take some of the best techniques from CPU/GPU-level programming and package them up in a Python-compatible syntax.

In this episode we explore why Mojo was created, and what it offers to Python programmers and non-Python programmers alike. How is it built for performance, and which performance features matter? What’s its take on functional programming and type systems? And can it marry the high-level programming of Python with the low-level programming of LLVM/MLIR?

If you’re a Python programmer who needs better performance, a C programmer who expects more from a ‘scripting language’, or just someone who’d be happier if Python had a first-class type system, Mojo might well be for you…

Mojo: https://www.modular.com/max/mojo

Mojo’s Roadmap: https://docs.modular.com/mojo/roadmap.html

The Mojo Discord: https://discord.com/invite/modular

MLIR: https://mlir.llvm.org/

Chris’s Talks: https://nondot.org/sabre/Resume.html#talks

Chris on Twitter: https://twitter.com/clattner_llvm

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

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

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

#software #podcast #mojolang #ml #pythonml

  continue reading

64 episodes

Artwork
iconShare
 
Manage episode 415727404 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.

Mojo is the latest language from the creator of Swift and LLVM. It’s an attempt to take some of the best techniques from CPU/GPU-level programming and package them up in a Python-compatible syntax.

In this episode we explore why Mojo was created, and what it offers to Python programmers and non-Python programmers alike. How is it built for performance, and which performance features matter? What’s its take on functional programming and type systems? And can it marry the high-level programming of Python with the low-level programming of LLVM/MLIR?

If you’re a Python programmer who needs better performance, a C programmer who expects more from a ‘scripting language’, or just someone who’d be happier if Python had a first-class type system, Mojo might well be for you…

Mojo: https://www.modular.com/max/mojo

Mojo’s Roadmap: https://docs.modular.com/mojo/roadmap.html

The Mojo Discord: https://discord.com/invite/modular

MLIR: https://mlir.llvm.org/

Chris’s Talks: https://nondot.org/sabre/Resume.html#talks

Chris on Twitter: https://twitter.com/clattner_llvm

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

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

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

#software #podcast #mojolang #ml #pythonml

  continue reading

64 episodes

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