book

SciPy and NumPy

November 2012

Beginner

82 pages

1h 48m

English

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AudienceContents of this BookConventions Used in This BookUsing Code ExamplesWe’d Like to Hear from YouSafari® Books OnlineAcknowledgmentsContent UpdatesJanuary 31, 2013May 29, 2013
1.1 Why SciPy and NumPy?1.2 Getting NumPy and SciPy1.3 Working with SciPy and NumPy1.4 Source Code
2.1 NumPy Arrays2.1.1 Array Creation and Data Typing2.1.2 Record Arrays2.1.3 Indexing and Slicing2.2 Boolean Statements and NumPy Arrays2.3 Read and Write2.3.1 Text Files2.3.2 Binary Files2.4 Math2.4.1 Basic Operations2.4.2 Linear Algebra2.4.3 Random Sampling & Statistics2.4.4 Polynomials
3.1 Optimization3.1.1 Data Modeling and Fitting3.1.2 Solutions to Functions3.2 Interpolation3.3 Integration3.3.1 Analytic Integration3.3.2 Numerical Integration3.4 Statistics3.4.1 Continuous and Discrete Distributions3.4.2 Functions3.5 Spatial and Clustering Analysis3.5.1 Vector Quantization3.5.2 Hierarchical Clustering3.6 Signal and Image Processing3.7 Sparse Matrices3.8 Reading and Writing Files Beyond NumPy
4.1 Scikit-Image4.1.1 Dynamic Threshold4.1.2 Local Maxima4.2 Scikit-Learn4.2.1 Linear Regression4.2.2 Clustering
5.1 Summary5.2 What’s Next?