Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.

Using NumPy arrays with C libraries: A common use case for Cython is to write convenient Python wrappers for C libraries. Cython code can act as a bridge between an existing C library and NumPy ...

Take advantage of the high-level async functions in Python’s asyncio library to write more efficient Python applications.