Introduction to Python for engineers and scientists : open source solutions for numerical computation / Sandeep Nagar.
2018
QA76.73.P98
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
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
1484232046 (electronic book)
9781484232033
1484232038
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
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Online Access
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Online Resources > Ebooks
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Table of Contents
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.
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.