Introduction to Python for Engineers and Scientists Open Source Solutions for Numerical Computation /
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 solu...
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| Hlavní autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Berkeley, CA :
Apress,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9781484232040 |
| On-line přístup: |
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| 008 | 171206s2018 xxu| s |||| 0|eng d | ||
| 020 | |a 9781484232040 | ||
| 024 | 7 | |a 10.1007/978-1-4842-3204-0 |2 doi | |
| 035 | |a CVTIDW10774 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Nagar, Sandeep. |4 aut | |
| 245 | 1 | 0 | |a Introduction to Python for Engineers and Scientists |h [electronic resource] : |b Open Source Solutions for Numerical Computation / |c by Sandeep Nagar. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Berkeley, CA : |b Apress, |c 2018. | |
| 300 | |a XVII, 254 p. 30 illus. in color. |b online resource. | ||
| 500 | |a Professional and Applied Computing | ||
| 505 | 0 | |a 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. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Python (Computer program language). | |
| 650 | 0 | |a Computer programming. | |
| 650 | 0 | |a Programming languages (Electronic computers). | |
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| 910 | |b ZE08054 | ||
| 919 | |a 978-1-4842-3204-0 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 236254 |d 236254 | ||