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Numerical Methods in Engineering with Python 3 (3rd Edition)

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Download Numerical Methods in Engineering with Python 3 (3rd Edition) written by Jaan Kiusalaas, Leonard Cassuto in PDF format. This book is under the category Computers and bearing the isbn/isbn13 number 1107033853/9781107033856. You may reffer the table below for additional details of the book. We do NOT provide access codes, we provide eBooks ONLY. Instant access will be granted as soon as you complete the payment.

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Specifications

book-author

Jaan Kiusalaas, Leonard Cassuto

publisher

Cambridge University Press; 3rd Edition

file-type

PDF

pages

280 pages

language

English

asin

B00ADP76WC

isbn10

1107033853

isbn13

9781107033856


Book Description

This PDF, which is the third edition of Numerical Methods in Engineering with Python 3, provides an overview of numerical methods for students studying engineering. The solving of equations and differential equations, as well as interpolation and the fitting of data, problems involving eigenvalues, and optimization are all covered in this section. Python 3, a high-level programming language that competes with MATLAB® for readability and ease of use, is used to build the algorithms. MATLAB® is the industry standard for numerical computing software. All of the approaches involve the use of programs that demonstrate how the computer code is applied to the problem-solving process. The book “Numerical Methods in Engineering with Python,” which was written with Python 2, served as the basis for this ebook. This revised edition demonstrates the use of Python 3, and it also contains an introduction to the graphing tool for Python known as Matplotlib. The inclusion of a plethora of examples and problems all throughout this extensive textbook contributes to the book's overall improvement.

PLEASE TAKE NOTE That the only thing that comes with this product is a PDF version of the ebook “Numerical Methods in Engineering with Python 3 (3rd Edition)”. There are no access codes contained within.

book-author

Jaan Kiusalaas, Leonard Cassuto

publisher

Cambridge University Press; 3rd Edition

file-type

PDF

pages

280 pages

language

English

asin

B00ADP76WC

isbn10

1107033853

isbn13

9781107033856

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