First Semester in Numerical Analysis with Python

Download free course First Semester in Numerical Analysis with Python, pdf file on 191 pages by Yaning Liu.

The book is based on "First semester in Numerical Analysis with Julia". The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming community index 2 , a measure of popularity of programming languages, and is the top-ranked interpreted language.

We hope this book will better serve readers who are interested in a first course in Numerical Analysis, but are more familiar with Python for the implementation of the algorithms. The first chapter of the book has a self-contained tutorial for Python, including how to set up the computer environment. Anaconda, the open-source individual edition, is recommended for an easy installation of Python and effortless management of Python packages, and the Jupyter environment, a web-based interactive development environment for Python as well as many other programming languages, was used throughout the book and is recommended to the readers for easy code developement, graph visualization and reproducibility.

Table of contents

Introduction
Solutions of equations: Root-finding
Interpolation
Numerical Quadrature and Differentiation
Approximation Theory

Pages :	191
Size :	6.8 MB
File type :	PDF
Downloads:	193
Created:	2022-02-02
License:	CC BY-NC-SA
Author(s):	Yaning Liu

First Semester in Numerical Analysis with Python

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