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A Primer on Scientific Programming with Python 5th Edition c2016 Langtangen txtbk

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Books : Educational : English
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A Primer on Scientific
Programming with Python, 5th Edition (c2016), textbook by Hans Petter Langtangen.

[torrent created Nov
21, 2016; original .torrent file submitted - not a "dump";
target PDF file size: 6,771,873 Bytes (6.46
MB); tagged with my username (open file > File > Properties)]

TEXTBOOK INFO:
http://www.springer.com/us/book/9783662498866
ISBN-13: 9783662498866

FEATURES:
* Example-oriented
text with all applications taken from science and engineering
* Aimed at newcomers to programming and Python, but
proved to be useful for professionals too
* All examples are accompanied by complete program codes, which can be
modified to the reader's needs
* Covers both Matlab-style "simple" programming and object-oriented
programming
* Demonstrates how Python can be an alternative to Matlab in scientific computing.

PITCH:
«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.»

BRIEF
CONTENTS:
ToC (with direct page elinks)
1. Computing with Formulas
2. Loops and Lists
3. Functions
and Branching
4. User Input and Error Handling
5. Array Computing and Curve Plotting
6. Dictionaries and
Strings
7. Introduction to Classes
8. Random Numbers and Simple Games
9. Object-Oriented Programming
APPENDICES:
- A. Sequences and Difference Equations
- B. Introduction to Discrete Calculus
- C.
Introduction to differential equations
- D. A Complete Differential Equation Project
- E. Programming of
Differential Equations
- F. Debugging
- G. Migrating Python to Compiled Code
- H. Technical Topics
References
INDEX (with direct page links)
(detailed contents downloadable from Springer website above)

FILE INFO: paginated, bookmarked, true PDF (7 MB).


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