In this article, you will learn how to create, index, slice, reshape, and perform arithmetic operations on arrays using NumPy. Selected by the community from 47 contributions.

Learn how to create, index, slice, reshape, and perform arithmetic operations on arrays using NumPy, the most popular Python library for data science.

# Slicing in python means taking elements from one given index to another given index. # We pass slice instead of index like this: [start:end]. # We can also define the step, like this: ...

GitHub - Vijaypabbu/Numpy: NumPy (Numerical Python) is a library consisting of multidimensional array objects and a collection of routines for processing those arrays. Using NumPy, mathematical and ...

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.