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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Nagar, Sandeep (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Nagar, Sandeep.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/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. 
264 1 |a Berkeley, CA :  |b Apress :  |b Imprint: Apress,  |c 2018. 
300 |a XVII, 254 p. 30 illus. in color.  |b online resource. 
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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. 
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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650 2 4 |a Programming Techniques.  |0 http://scigraph.springernature.com/things/product-market-codes/I14010 
650 2 4 |a Programming Languages, Compilers, Interpreters.  |0 http://scigraph.springernature.com/things/product-market-codes/I14037 
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