Numerical Python : A Practical Techniques Approach for Industry - Johansson, Robert; SpringerLink (Online service) (Berkeley, CA : Apress : Imprint: Apress, 2015)
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.-.
Keywords: Python (Computer program language).; Programming languages (Electronic computers).; Computer software; Python; Programming Languages, Compilers, Interpreters; Mathematical Software