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Introduction to Python for engineers...
~
Nagar, Sandeep.
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Introduction to Python for engineers and scientists = open source solutions for numerical computation /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Introduction to Python for engineers and scientists/ by Sandeep Nagar.
Reminder of title:
open source solutions for numerical computation /
Author:
Nagar, Sandeep.
Published:
Berkeley, CA :Apress : : 2018.,
Description:
xvii, 254 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
Python (Computer program language) -
Online resource:
http://dx.doi.org/10.1007/978-1-4842-3204-0
ISBN:
9781484232040
Introduction to Python for engineers and scientists = open source solutions for numerical computation /
Nagar, Sandeep.
Introduction to Python for engineers and scientists
open source solutions for numerical computation /[electronic resource] :by Sandeep Nagar. - Berkeley, CA :Apress :2018. - xvii, 254 p. :ill., digital ;24 cm.
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.
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.
ISBN: 9781484232040
Standard No.: 10.1007/978-1-4842-3204-0doiSubjects--Topical Terms:
729789
Python (Computer program language)
LC Class. No.: QA76.73.P98
Dewey Class. No.: 005.133
Introduction to Python for engineers and scientists = open source solutions for numerical computation /
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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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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.
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Professional and Applied Computing (Springer-12059)
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