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Title: Python Can Now Call Code Written in Chris Lattner's Mojo

Link: https://developers.slashdot.org/story/25/05/2...

Mojo (the programming language) reached a milestone today. The story so
far... Chris Lattner created the Swift programming language (and answered
questions from Slashdot readers in 2017 on his way to new jobs at Tesla,
Google, and SiFive). But in 2023, he'd created a new programming language
called Mojo - a superset of Python with added functionality for high
performance code that takes advantage of modern accelerators - as part of his
work at AI infrastructure company Modular.AI. And today Modular's product
manager Brad Larson announced Python users can now call Mojo code from
Python. (Watch for it in Mojo's latest nightly builds...) The Python
interoperability section of the Mojo manual has been expanded and now
includes a dedicated document on calling Mojo from Python. We've also added a
couple of new examples to the modular GitHub repository: a "hello world" that
shows how to round-trip from Python to Mojo and back, and one that shows how
even Mojo code that uses the GPU can be called from Python. This is usable
through any of the ways of installing MAX [their Modular Accelerated Xecution
platform, an integrated suite of AI compute tools] and the Mojo compiler: via
pip install modular / pip install max, or with Conda via Magic / Pixi. One of
our goals has been the progressive introduction of MAX and Mojo into the
massive Python codebases out in the world today. We feel that enabling
selective migration of performance bottlenecks in Python code to fast Mojo
(especially Mojo running on accelerators) will unlock entirely new
applications. I'm really excited for how this will expand the reach of the
Mojo code many of you have been writing... It has taken months of deep
technical work to get to this point, and this is just the first step in the
roll-out of this new language feature. I strongly recommend reading the list
of current known limitations to understand what may not work just yet, both
to avoid potential frustration and to prevent the filing of duplicate issues
for known areas that we're working on. "We are really interested in what
you'll build with this new functionality, as well as hearing your feedback
about how this could be made even better," the post concludes. Mojo's
licensing makes it free on any device, for any research, hobby or learning
project, as well as on x86 or ARM CPUs or NVIDIA GPU.

Read more of this story at Slashdot.

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