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.

Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in matrixes.

Run coroutines and tasks in Python Naturally, the most common use for asyncio is to run the asynchronous parts of your Python script. This means learning to work with coroutines and tasks.