NumPy Essential Training: 1 Foundations of NumPy

Offered By: LinkedIn Learning

Tags

NumPy Courses Data Science Courses Python Courses Jupyter Notebooks Courses Numerical Computing Courses

Course Description

Overview

Learn about NumPy, the most useful Python library for data science and numerical computing.

Syllabus

Introduction

Take advantage of the power of NumPy
What you should know

1. NumPy Overview and Introduction to Jupyter Notebook

Why should you use NumPy?
Python lists vs. NumPy arrays
Jupyter Notebook basics

2. NumPy Array Types and Creating NumPy Arrays

Array types and conversions between types
Multidimensional arrays
Creating arrays from lists and other Python structures
Intrinsic NumPy array creation
Creating arrays filled with constant values
Finding the shape and size of an array

3. Manipulate NumPy Arrays

Adding, removing, and sorting elements
Copies and views
Reshaping arrays
Indexing and slicing
Joining and splitting arrays

4. Functions and Operations

Arithmetic operations and functions
Broadcasting
Aggregate functions
How to get unique items and counts
Transpose like operations
Reversing an array

Conclusion

Next steps

Taught by

Terezija Semenski

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