Sale!

Python Programming and Numerical Methods: A Guide for Engineers and Scientists – PDF ebook

Python Programming and Numerical Methods: A Guide for Engineers and Scientists – PDF ebook Copyright: 2021, Author: Qingkai Kong; Timmy Siauw; Alexandre Bayen, Publisher: Academic Press, Print ISBN: 9780128195499, etext ISBN: 9780128195505, Format: PDF

Original price was: $99.00.Current price is: $23.00.

Buy Python Programming and Numerical Methods: A Guide for Engineers and Scientists PDF ebook by author Qingkai Kong; Timmy Siauw; Alexandre Bayen – published by Academic Press in 2021 and save up to 80%  compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
You can search our site for other versions of the Python Programming and Numerical Methods: A Guide for Engineers and Scientists PDF ebook. You can also search for others PDF ebooks from publisher Academic Press, as well as from your favorite authors. We have thousands of online textbooks and course materials (mostly in PDF) that you can download immediately after purchase.
Note: e-textBooks do not come with access codes, CDs/DVDs, workbooks, and other supplemental items.
eBook Details:

Full title: Python Programming and Numerical Methods: A Guide for Engineers and Scientists
Edition:
Copyright year: 2021
Publisher: Academic Press
Author: Qingkai Kong; Timmy Siauw; Alexandre Bayen
ISBN: 9780128195499, 9780128195505
Format: PDF

Description of Python Programming and Numerical Methods: A Guide for Engineers and Scientists:
Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings.Includes tips, warnings and “try this” features within each chapter to help the reader develop good programming practiceSummaries at the end of each chapter allow for quick access to important informationIncludes code in Jupyter notebook format that can be directly run online