A Primer on Scientific Programming with Python

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The boo...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Langtangen, Hans Petter (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Έκδοση:2nd Edition.
Σειρά:Texts in Computational Science and Engineering, 6
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Langtangen, Hans Petter.  |e author. 
245 1 2 |a A Primer on Scientific Programming with Python  |h [electronic resource] /  |c by Hans Petter Langtangen. 
250 |a 2nd Edition. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2011. 
300 |a XXX, 706 p. 72 illus., 28 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Texts in Computational Science and Engineering,  |x 1611-0994 ;  |v 6 
505 0 |a 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  . 
520 |a The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. 
650 0 |a Mathematics. 
650 0 |a Software engineering. 
650 0 |a Computer programming. 
650 0 |a Computer science  |x Mathematics. 
650 0 |a Computer mathematics. 
650 0 |a Physics. 
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650 2 4 |a Computational Science and Engineering. 
650 2 4 |a Programming Techniques. 
650 2 4 |a Software Engineering/Programming and Operating Systems. 
650 2 4 |a Mathematics of Computing. 
650 2 4 |a Numerical and Computational Physics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642183652 
830 0 |a Texts in Computational Science and Engineering,  |x 1611-0994 ;  |v 6 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-18366-9  |z Full Text via HEAL-Link 
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950 |a Mathematics and Statistics (Springer-11649)