A primer on scientific programming with Python / Hans Petter Langtangen.
Series: Publisher: Heidelberg : Springer, [2016]Copyright date: 2016Edition: 5th editionDescription: xxxi, 914 pages : illustrations (some color) ; 24 cmContent type:- text
- unmediated
- volume
- 9783662498866
- 3662498863
- 005.133 23
- QA76.73.P98 .L36 2016
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
BOOK | NCAR Library Foothills Lab | QA76.73 .P98 .L36 2016 | 1 | Checked out | 07/01/2024 | 50583020010967 |
Includes bibliographical references and index.
Computing with Formulas -- Loops and Lists -- Functions and Branching -- User Input and Error Handling -- Array Computing and Curve Plotting -- Dictionaries and Strings -- 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 -- Migrating Python to Compiled Code -- Technical Topics -- References -- Index.
This 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.