Scientific Computing with Python

Table of Contents

1. Getting Started
2. Variables and Basic Types
3. Container Types
4. Linear Algebra – Arrays
5. Advanced Array Concepts
6. Plotting
7. Functions
8. Classes
9. Iterating
10. Series and Dataframes - Working With Pandas
11. Communication by a Graphical User Interface
12. Error and Exception Handling
13. Namespaces, Scopes, and Modules
14. Input and Output
15. Testing
16. Symbolic Computations - SymPy
17. Interacting with the Operating System
18. Python for Parallel Computing
19. Comprehensive Examples