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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hill, Christian, 1974- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, United Kingdom : Cambridge University Press, 2015.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Hill, Christian,  |d 1974-  |e author. 
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. 
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. 
588 0 |a Print version record. 
546 |a English. 
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650 0 |a Science  |x Mathematics. 
650 0 |a Python (Computer program language) 
650 6 |a Sciences  |x Informatique. 
650 6 |a Sciences  |x Mathématiques. 
650 6 |a Python (Langage de programmation) 
650 7 |a SCIENCE  |x Mathematical Physics.  |2 bisacsh 
650 7 |a Python (Computer program language)  |2 fast 
650 7 |a Science  |x Data processing  |2 fast 
650 7 |a Science  |x Mathematics  |2 fast 
650 7 |a Wissenschaftliches Rechnen  |2 gnd 
650 7 |a Python  |g Programmiersprache  |2 gnd 
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 
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