Description
Apress Numerical Python Scientific Computing And Data Science Applications With Numpy Scipy And Matplotlib 2Nd Edn by Johansson
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.