Consider [Tushar Sadhwani] who wanted to create a classic C-style for loop inside of Python. He did it ... You can wade through the source code ahead of processing and make whichever changes ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in ...

By writing type-annotated Python code and compiling it to C, you can iterate over NumPy arrays and work directly with their data at the speed of C. This article walks through some key concepts for ...