Overview
- A quick, practical compact primer for learning and applying the Python programming language
- Includes sample code with applications for engineers and scientists
- Python is one of today's most popular, if not the most popular, programming languages with its flexibility and many applications
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Table of contents (10 chapters)
Keywords
About this book
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.
What You'll Learn
- 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
- Applydata types, operators, and arrays
- Carry out plotting for visualization
- Work with functions and loops
Who This Book Is For
Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Introduction to Python for Engineers and Scientists
Book Subtitle: Open Source Solutions for Numerical Computation
Authors: Sandeep Nagar
DOI: https://doi.org/10.1007/978-1-4842-3204-0
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Sandeep Nagar 2018
Softcover ISBN: 978-1-4842-3203-3Published: 07 December 2017
eBook ISBN: 978-1-4842-3204-0Published: 06 December 2017
Edition Number: 1
Number of Pages: XVII, 254
Number of Illustrations: 30 illustrations in colour
Topics: Python, Programming Techniques, Programming Languages, Compilers, Interpreters