Learning scientific programming with Python

"Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercia...

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Bibliographic Details
Main Author: Hill, Christian, 1974- (Author)
Format: eBook
Language: English
Published: Cambridge, United Kingdom : Cambridge University Press, 2015.
Subjects:
ISBN: 9781139871754
1139871757
9781523113453
1523113456
1316426785
9781316426784
9781107075412
1107075416
9781107428225
110742822X
Physical Description: 1 online resource (vii, 452 pages) : illustrations

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Table of contents

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003 OCoLC
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006 m o d
007 cr cn|||||||||
008 160831s2015 enka o 001 0 eng d
040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d HEBIS  |d OCLCO  |d COO  |d VLB  |d OCLCQ  |d KNOVL  |d OCLCQ  |d STF  |d MERER  |d CEF  |d OCLCQ  |d LVT  |d UKAHL  |d ERF  |d OCLCQ  |d MM9  |d SFB  |d OCLCF  |d OCLCQ  |d K6U  |d OCLCO  |d OCLCQ  |d INARC  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781139871754  |q (electronic bk.) 
020 |a 1139871757  |q (electronic bk.) 
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020 |a 1523113456  |q (electronic bk.) 
020 |a 1316426785 
020 |a 9781316426784 
020 |z 9781107075412  |q (hardback) 
020 |z 1107075416  |q (hardback) 
020 |z 9781107428225  |q (paperback) 
020 |z 110742822X  |q (paperback) 
035 |a (OCoLC)961001536  |z (OCoLC)1020584351  |z (OCoLC)1032308966  |z (OCoLC)1032501839  |z (OCoLC)1032716363  |z (OCoLC)1117881431  |z (OCoLC)1136390563  |z (OCoLC)1158019935  |z (OCoLC)1170730759  |z (OCoLC)1171482722  |z (OCoLC)1180673040  |z (OCoLC)1180754062 
100 1 |a Hill, Christian,  |d 1974-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PBJqBp39HHdBpm9YQDXVHmd 
245 1 0 |a Learning scientific programming with Python /  |c Christian Hill, University College London and Somerville College, University of Oxford. 
264 1 |a Cambridge, United Kingdom :  |b Cambridge University Press,  |c 2015. 
300 |a 1 online resource (vii, 452 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming"--  |c Provided by publisher 
505 0 |a 1. Introduction -- 2. The core Python language I -- 3. Interlude: simple plotting with pylab -- 4. The core Python language II -- 5. IPython and IPython notebook -- 6. NumPy -- 7. Matplotlib -- 8. SciPy -- 9. General scientific programming -- Appendix A. Solutions. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Science  |x Data processing. 
650 0 |a Science  |x Mathematics. 
650 0 |a Python (Computer program language) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Hill, Christian, 1974-  |t Learning scientific programming with Python.  |d Cambridge, United Kingdom : Cambridge University Press, 2015  |z 9781107075412  |z 1107075416  |w (DLC) 2015017085  |w (OCoLC)910802419 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpLSPP0001/learning-scientific-programming?kpromoter=marc  |y Full text