Search⌘ K
AI Features
Home
Courses
Data Science Interview Handbook

NumPy

Explore the fundamentals of NumPy, a key library for data science in Python. Learn how to create and manipulate N-dimensional arrays, perform indexing and slicing, and apply basic mathematical operations. This lesson highlights the performance advantages of NumPy arrays compared to Python lists, preparing you to use NumPy effectively in data science tasks.

We'll cover the following...

NumPy was created to support scientific computing in Python. The library enables users to create an N-dimensional arrays. It also allows linear algebra functions over the NumPy objects, and supports other high-level mathematical functions, such as the Fourier transform.

Numpy
Numpy

NumPy can be installed with pip. This is the instruction to install NumPy:

    pip install numpy

Arrays in NumPy are used heavily for ...