Book

Scientific Computing with Python

Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You'll explore task automation and understand essential math concepts and algorithms along with integrations for faster computation in scientific computing.

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Difficulty Level
Intermediate
Completion Time
13h4m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 13h4m total length

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

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