Chapter 1 Introduction
1.1 Why SciPy and NumPy?
1.2 Getting NumPy and SciPy
1.3 Working with SciPy and NumPy
1.4 Source Code
Chapter 2 NumPy
2.1 NumPy Arrays
2.2 Boolean Statements and NumPy Arrays
2.3 Read and Write
2.4 Math
Chapter 3 SciPy
3.1 Optimization
3.2 Interpolation
3.3 Integration
3.4 Statistics
3.5 Spatial and Clustering Analysis
3.6 Signal and Image Processing
3.7 Sparse Matrices
3.8 Reading and Writing Files Beyond NumPy
Chapter 4 SciKit: Taking SciPy One Step Further
4.1 Scikit-Image
4.2 Scikit-Learn
Chapter 5 Conclusion
5.1 Summary
5.2 What’s Next?
Appendix About the Author