What is Mojo Programming Language?
Mojo language marries Python and MLIR for AI development
Is this the A.I. programming language of the future?
If Rust went from a side project to being the world’s most-loved programming language, what can Mojo become? I have a big feeling about this.
AI infrastructure company, Modular AI, recently unveiled Mojo, a new programming language that combines the syntax of Python along with the portability and speed of C, making it ideal for both research and production.
This language is designed specifically for AI applications and is said to bridge the gap between research and production by combining the best of Python syntax with systems programming and metaprogramming.
According to their keynote, Mojo is about 35,000x faster than Python, which is simply incredible. It offers unparalleled programmability of AI hardware and extensibility of AI models, making it a game-changer in the field.
One of the most exciting features of Mojo is that it allows you to write portable code that’s faster than C and seamlessly inter-op with the Python ecosystem. You can write Python or scale all the way down to the metal with no need for C++ or CUDA. Mojo has a number of other impressive features, such as a unified inference engine, progressive type system, zero-cost abstractions, and an ownership and borrow checker (like Rust).
Although the language is still in development and not publicly available yet, the potential it holds for AI applications is truly exciting. Keen to see how it gets picked up by the community.
Here’s the website to learn more:
There are a lot of good YouTubes already about it.
For decades, coders wrote critical systems in C and C++. Now they turn to Rust. But if Python is so popular what will Mojo do to it?
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