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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
  • 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

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