- Python Libraries for Science

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

NumPy - Python Library for Matrix operations

SciPy - Python Library for Mathematical Functions


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, Generators and List 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 - Python Libraries for Science

 pandas - Data Analysis and Manipulation

 Anaconda - Python Environment Manager

 Jupyter Notebook and JupyterLab


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