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Mojo: The Programming Language for AI That Is Up To 35000x Faster Than Python

Mojo: The Programming Language for AI That Is Up To 35000x Faster Than Python

“Python’s simplicity and versatility made it the language of choice in fields such as data science, machine learning, and AI. It has tons of packages that are very useful for anyone working with data, but for libraries that require great performance.

Python only acts as a glue layer and low-level bindings to C, C++, and other languages with better performance.

This enabled the development of libraries such as NumPy and TensorFlow. However, this comes with a drawback: building these libraries is very complicated, it requires a low-level understanding of the internals of CPython, requires knowledge of C/C++, etc.

According to the Mojo doc, the issues brought by Python go deeper and particularly impact the AI field.

Python alone isn’t able to address all the issues that applied AI systems need and that’s how Mojo was born.

Mojo is a programming language that combines the usability of Python with the performance of C.”

1. Mojo is designed as a superset of Python
2. Strong type checking
3. Memory ownership and borrowing checker
4. Auto-tuning
5. Mojo leverages MLIR (Multi-Level Intermediate Representation)

Mojo Docs: [https://docs.modular.com/mojo/](https://docs.modular.com/mojo/)

[https://artificialcorner.com/mojo-the-programming-language-for-ai-that-is-up-to-35000x-faster-than-python-e68d1fba37db]

(https://artificialcorner.com/mojo-the-programming-language-for-ai-that-is-up-to-35000x-faster-than-python-e68d1fba37db)

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