Introduction to Python for engineers and scientists : open source solutions for numerical computation / Sandeep Nagar.
Nagar, Sandeep, author.
2018
QA76.73.P98
Available Online

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Title Introduction to Python for engineers and scientists : open source solutions for numerical computation / Sandeep Nagar.
Author Nagar, Sandeep, author.
ISBN 9781484232040 (electronic book)
1484232046 (electronic book)
9781484232033
1484232038
DOI https://doi.org/10.1007/978-1-4842-3204-0
Published [New York] : Apress, [2018]
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-1-4842-3204-0 doi
Call Number QA76.73.P98
Dewey Decimal Classification 005.13/3
Summary Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (viewed December, 14, 2017).
Available in Other Form Print version: 9781484232033
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
1. Philosophy of Python
2. Introduction to the Basics of Python
3. Ipython
4. Data Types
5. Operators
6. Arrays
7. Plotting
8. Functions and Loops
9. Object-Oriented Programming
10. Numerical Computing Formalism.

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