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...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
|
Έκδοση: | 3rd ed. 2012. |
Σειρά: | Texts in Computational Science and Engineering,
6 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Preface
- 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
- Bibliography
- Index.