NumPy Skill Tree with AI and Hands-On Labs

NumPy

NumPy is a Python library for scientific computing. It provides fast and efficient multidimensional arrays, as well as a large collection of mathematical functions. In this skill tree, you'll learn how to use NumPy to perform basic operations on arrays of data.

27 Skills|3 Courses|1 Project

Quick Start with NumPy

Beginner

53 Learned

NumPy

This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.

15 Labs

Your First NumPy LabStart

Array Attributes and DtypeStart

NumPy Arrays and Data TypesStart

NumPy in SpaceStart

NumPy Array Datatype ConverterStart

NumPy Array OperationsStart

NumPy Array OperationStart

NumPy Slicing and IndexingStart

Array Indexing and SlicingStart

NumPy MultiplicationsStart

NumPy Shape Manipulation Pro Start

Make NumPy Array Your Shape Pro Start

NumPy File IO Pro Start

NumPy Advanced Topics Pro Start

NumPy Math Games Pro Start

100 NumPy Exercises

Intermediate

453 Learned

NumPy

NumPy is an extension library for Python language, supporting operations of a large number of high-dimensional arrays and matrices. In addition, it also provides a large number of mathematical function libraries for array operations. Machine learning involves a lot of transformations and operations on arrays, which makes NumPy one of the essential tools.

Lab

NumPy Practice Plus

Beginner

2 Learned

NumPy

In this course, You will practice more labs of NumPy. This will help you to master the skills more deeply.

Lab