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LinkedIn Learning

NumPy Essential Training: 1 Foundations of NumPy

via LinkedIn Learning

Overview

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

Syllabus

Introduction
  • Introduction
  • 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

Reviews

4.7 rating at LinkedIn Learning based on 93 ratings

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