Mojo🔥 — Superset of Python

Hema Kalyan Murapaka
3 min readMay 7, 2023

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Have you heard of Mojo Programming Language? It’s a new and exciting programming language that has been gaining popularity in the tech community in recent days. Developed by the team at Modular, Mojo Language is designed to be flexible and lightning-fast, achieves parallel computing making it easier for developers to create complex programs without having to start from scratch.

An Artificial Intelligence Startup, Modular introduced this MOJO programming language which combines the usability of python and c programming language.

For more information on the Mojo Product Launch, please check it out.

Generally, Python is widely known for its flexibility, ease of use, and vast libraries, making it a popular choice among developers. However, due to its interpreted nature, it can be slower compared to compiled languages like C. On the other hand, C is a very fast language but is often considered more difficult to use due to its syntax and lower-level nature. This is where MOJO steps in. It combines the flexibility and ease of use of Python with the speed and performance of C. This makes it easier for developers to create complex programs without compromising on speed or efficiency.

While there are so many choices for python like Julia, MOJO distinguishes it from being 35,000x faster than Python when running numeric algorithms such as Mandelbrot. This Startup Modular is presently working on 2 projects i.e., MOJO and Modular Inference Engine which is used to run Artificial Intelligence models less expensively in production. The below mentioned Statistics shows the rate of performance of MOJO.

It leverages Multi-Level Intermediate Representation to tap into a wide range of AI-optimized hardware capabilities, including Tensor Cores and AMX extensions. As a result, it delivers significantly faster performance than standard Python for certain types of algorithms. For instance, Mojo can execute the Mandelbrot algorithm on an AWS r7iz.metal-16xl in just 0.03 seconds, whereas Python 3.10.9 takes around 1,027 seconds (about 17 minutes) to complete the same task.

In conclusion, Mojo is a promising programming language that combines the best of both Python and C. With its lightning-fast performance and flexibility, it has the potential to revolutionize the way developers create complex programs. As Modular continues to develop and improve Mojo, we can expect to see more exciting developments in the field of programming and AI. So, if you’re looking to experiment with a new programming language, consider giving Mojo a try!

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