SciPy.org - Python Libraries for Science

This chapter provides introductions and tutorials on Python libraries developed by SciPy.org. Topics include installing and using NumPy SciPy.

NumPy - Python Library for Matrix operations

SciPy - Python Library for Mathematical Functions

Takeaways:

Table of Contents

 About This Book

 Running Python Code Online

 Python on macOS Computers

 Python on Linux Computers

 Built-in Data Types

 Variables, Operations and Expressions

 Statements - Execution Units

 Function Statement and Function Call

 Iterators and Generators

 List, Set and Dictionary Comprehensions

 Classes and Instances

 Modules and Module Files

 Packages and Package Directories

 "sys" and "os" Modules

 "pathlib" - Object-Oriented Filesystem Paths

 "pip" - Package Installer for Python

SciPy.org - Python Libraries for Science

 pandas - Data Analysis and Manipulation

 Anaconda - Python Environment Manager

 Jupyter Notebook and JupyterLab

 References

 Full Version in PDF/EPUB