First Semester in Numerical Analysis with Python
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 : | |
| Downloads: | 190 |
| Created: | 2022-02-02 |
| License: | CC BY-NC-SA |
| Author(s): | Yaning Liu |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233
Others python Tutorials
Think DSP: Digital Signal Processing in Python
Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance
Biopython: Tutorial and Cookbook
Programming Computer Vision with Python
Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images
Others related eBooks about First Semester in Numerical Analysis with Python
Essential C#This book written to provide clear and concise explanation of topics for programmers both starting to learn the C# programming language as well as those diving in more complex topics. Most examples are linked to online playground that allows you to change the code and re-run it....
Think Java: How to Think Like a Computer ScientistIf you want to understand computer science, but have no programming experience, this book is for you. Think Java starts with the most basic programming concepts and carefully defines every term when it's first used. The authors then develop each new concept in a logical progression. Larger pieces ...
Learning iOS eBook (PDF)Download free IOS tutorial course material and training in PDF file 1131 pages....
Object-oriented Programming in C#Download free course Object-oriented Programming in C#, pdf file on 485 pages by Kurt Normark....
: Advanced RIt is impossible to become expert in R in only one training course. Yet, this course aims at giving a wide understanding of many aspects of R. Some external resources will be referred to in this book for you to be able to deepen what you would have learned in this course....
Raspberry Pi Camera GuideDownload free course Raspberry Pi Camera Guide, pdf file on 132 pages by Dan Aldred, Wesley Archer, Jody Carter, PJ Evans, Richard Hayler, James Singleton, Rob Zwetsloot....
Think Python - How to Think Like a Computer ScientistThink Python is an introduction to Python programming for students with no programming experience. It starts with the most basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, ...
Algorithms book for ProfessionalsDownload free Algorithm tutorial course in PDF, training file in 56 chapters and 257 pages. Free unaffiliated ebook created from Stack OverFlow contributor....
Python Machine Learning ProjectsDownload free course Python Machine Learning Projects, pdf file on 135 pages by Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan....
Spring Framework TutorialDownload free Spring tutorial course in PDF, training file in 18 chapters and 68 pages. Free unaffiliated ebook created from Stack OverFlow contributor....