Python Scripting for Computational. Third Edition. With 62 Figures. Programming techniques during dissection of the examples. You can also download a PDF version of the book. 4.1 A Quick NumPy Primer. PDF Download A Primer on Scientific Programming with Python (Texts in Computational Science. Browse more videos. Playing next. PDF Download A Primer on Scientific Programming with Python Texts in Computational Science and PDF Full Ebook.

Format

Inbunden (Hardback)

Språk

Engelska

Antal sidor

736

Utgivningsdatum

2011-04-20

Upplaga

2nd ed. 2011

Förlag

Springer-Verlag Berlin and Heidelberg GmbH & Co. K

Illustratör/Fotograf

50 farbige Abbildungen

Illustrationer

44 black & white illustrations, 28 colour illustrations

Dimensioner

254 x 196 x 38 mm

Vikt

1882 g

Antal komponenter

1

Komponenter

Book

ISBN

9783642183652

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De som köpt den här boken har ofta också köpt Programming for Computations - MATLAB/Octave av Hans Petter Langtangen (inbunden). Calvino les villes invisibles pdf to excel online.

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Kundrecensioner

Fler böcker av Hans Petter Langtangen

From the reviews: 'This book is an introduction to computer programming using the Python programming language. It focuses on numerical methods as the context for examples, exercises, and assignments. .. Langtangen .. does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. .. Summing Up: Highly recommended. Upper-division undergraduates through professionals; general readers.' (F. H. Wild III, Choice, Vol. 47 (8), April, 2010) 'It is an authoritative and almost monumental work that covers most aspects of the Python language and its numerical modules. It definitely has a prominent place on my bookshelf. .. The text is well written .. . In summary, this is the book (the only book) to have if you are an aspiring Python programmer of scientific applications.' (Jaan Kiusalaas, SIAM Review, Vol. 52 (3), September, 2010) 'The book's title reflects its content accurately, the content is substantively scientific and the book is a very good programming book. .. This excellent book is quite rich mathematically, numerical methods, differential equations, treatments of shape, and a variety of exercises and projects are included. It will also impart a deep knowledge of python, one of today's most useful languages. I have learned a great deal from this book and recommend it highly.' (George Hacken, ACM Computing Reviews, September, 2010) From the reviews of the second edition: 'This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. .. If you want to learn Python .. this book is for you. .. this is an excellent book for the experienced programmer who wants to learn a new language and become a better programmer. It contains valuable information for students new to scientific computing, and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.' (Alex Small, Computing in Science & Engineering, Vol. 14 (2), March/April, 2012)

Bloggat om A Primer on Scientific Programming with P..

Hans Petter Langtangen is a professor of computer science at the University of Oslo. He has formely been a professor of mechanics and is now the director of a Norwegian Center of Excellence: 'Center for Biomedical Computing', at Simula Research Laboratory. Langtangen has published over 100 scientific publications and written several books, including papers and a book on Python's potential for scientific computing. He has also developed open source and commercial software systems for computational sciences.

Computing with Formulas.- Loops and Lists.- Functions and Branching.- Input Data and Error Handling.- Array Computing and Curve Plotting.- Files, Strings and Dictionaries.- Introduction to Classes.- Random Numbers and Simple Games.- Object-Oriented Programming.- Sequences and Difference Equations.- Introduction to Discrete Calculus.- Introduction to Differential Equations.- A Complete Differential Equation Project.- Programming of Differential Equations.- Debugging.- Technical Topics.- Bibliography.- Index

The book serves as a main introduction to laptop programming of scientific functions, using the high-diploma Python language. The exposition is occasion- and disadvantage-oriented, the place the needs are taken from arithmetic, numerical calculus, statistics, physics, biology, and finance. The book teaches 'Matlab-trend' and procedural programming in addition to object-oriented programming. Highschool arithmetic is a required background, and it is advantageous to evaluation classical and numerical one-variable calculus in parallel with learning this book. Aside from learning learn how to program pc techniques, the reader might even uncover methods to treatment mathematical points, arising in quite a few branches of science and engineering, with help from numerical methods and programming. By mixing programming, arithmetic and scientific functions, the book lays a robust foundation for working in the direction of computational science.

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