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000825109 019__ $$a1015857116$$a1020288502$$a1021197509$$a1032278989
000825109 020__ $$a9781484232040$$q(electronic book)
000825109 020__ $$a1484232046$$q(electronic book)
000825109 020__ $$z9781484232033
000825109 020__ $$z1484232038
000825109 0247_ $$a10.1007/978-1-4842-3204-0$$2doi
000825109 035__ $$aSP(OCoLC)on1015215326
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000825109 037__ $$aCL0500000932$$bSafari Books Online
000825109 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dEBLCP$$dGW5XE$$dOCLCF$$dUAB$$dUMI$$dAZU$$dUPM$$dSTF$$dCOO$$dOCLCQ$$dAJB$$dAUD$$dU3W$$dYDX$$dTOH$$dSNK$$dCEF
000825109 049__ $$aISEA
000825109 050_4 $$aQA76.73.P98
000825109 08204 $$a005.13/3$$223
000825109 1001_ $$aNagar, Sandeep,$$eauthor.
000825109 24510 $$aIntroduction to Python for engineers and scientists :$$bopen source solutions for numerical computation /$$cSandeep Nagar.
000825109 264_1 $$a[New York] :$$bApress,$$c[2018]
000825109 300__ $$a1 online resource
000825109 336__ $$atext$$btxt$$2rdacontent
000825109 337__ $$acomputer$$bc$$2rdamedia
000825109 338__ $$aonline resource$$bcr$$2rdacarrier
000825109 347__ $$atext file$$bPDF$$2rda
000825109 504__ $$aIncludes bibliographical references and index.
000825109 5050_ $$a1. Philosophy of Python -- 2. Introduction to the Basics of Python -- 3. Ipython -- 4. Data Types -- 5. Operators -- 6. Arrays -- 7. Plotting -- 8. Functions and Loops -- 9. Object-Oriented Programming -- 10. Numerical Computing Formalism.
000825109 506__ $$aAccess limited to authorized users.
000825109 520__ $$aFamiliarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops.
000825109 588__ $$aOnline resource; title from PDF title page (viewed December, 14, 2017).
000825109 650_0 $$aPython (Computer program language)
000825109 650_0 $$aComputer programming.
000825109 650_0 $$aOpen source software.
000825109 77608 $$iPrint version: $$z9781484232033
000825109 852__ $$bebk
000825109 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4842-3204-0$$zOnline Access$$91397441.1
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000825109 980__ $$aEBOOK
000825109 980__ $$aBIB
000825109 982__ $$aEbook
000825109 983__ $$aOnline
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