Sinopsis
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.-
20. Appendix: Installation.-
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