Open Source Solutions for Numerical Computation Nagar, Sandeep creator author. text xxu 2018 1st ed. 2018. monographic eng XVII, 254 pages 30 illustrations in color. 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. 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. by Sandeep Nagar. Computer programming Programming languages (Electronic computers) Python (Computer program language) Python Programming Languages, Compilers, Interpreters Programming Techniques 005.133 NAG/I (DLC) 2017961730 9781484232040 2019764985 DLC 171206 20251113131226.0 21819256 eng