Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib


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Sale price$54.99

Description


Numerical Python
1. Introduction to Computing with Python
2. Vectors, Matrices and Multidimensional Arrays
3. Symbolic Computing
4. Plotting and Visualization
5. Equation Solving
6. Optimization
7. Interpolation
8. Integration
9. Ordinary Differential Equations
10. Sparse Matrices and Graphs
11. Partial Differential Equations
12. Data Processing and Analysis
13. Statistics
14. Statistical Modeling
15. Machine Learning
16. Bayesian Statistics
17. Signal and Image Processing
18. Data Input and Output
19. Code Optimization



Author: Robert Johansson
Publisher: Apress
Published: 12/25/2018
Pages: 700
Binding Type: Paperback
Weight: 2.73lbs
Size: 10.00h x 7.00w x 1.45d
ISBN13: 9781484242452
ISBN10: 1484242459
BISAC Categories:
- Computers | Languages | Python
- Computers | Mathematical & Statistical Software
- Computers | Database Administration & Management

About the Author
Robert Johansson is a numerical Python expert and computational scientist who has worked with SciPy, NumPy and QuTiP, an open-source Python framework for simulating the dynamics of quantum systems.