The reign of Python is finished. Python vs its challengers: a !! By Abdur Rahman
Python against his challengers: a head to head comparison
January 22, 2025
Python, the title champion of AI and automatic learning, finally confronted with a real threat? For decades, Python was the essential language for data scientists and developers, dominating the ecosystem with its versatility, its vast libraries and its ease of use. But the rise of languages like Mojo, Rust and Julia trigger debates.
Could they dethrone Python in the AI world?
Let’s move on.
Python’s simplicity has a cost: speed.
As a language interpreted, Python is notoriously slow compared to compiled languages. Of course, executives like Tensorflow and Pytorch help optimize performance by unloading heavy lifting to the C ++ backends, but Python itself remains a bottleneck.
Enter Mojo. Mojo made waves with his pretension to provide type C performance while retaining the ease of use of Python. Depending on benchmarks, the Jit compilation (just in time) can execute 30x faster than python vanilla. It is not only incremental – it changes the situation.
For advice: If you write high performance AI applications, the Python hybrid syntax from Mojo allows you
