SciPy Programming Succinctly

James McCaffrey's SciPy Programming Succinctly offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices. Each section presents a complete demo program for programmers to experiment with, carefully chosen examples to best illustrate each function, and resources for further learning. Use this e-book to install and edit SciPy, and use arrays, matrices, and combinatorics in Python programming. Table of Contents......Page 4 The Story behind the Succinctly Series of Books......Page 6 About the Author......Page 8 Chapter 1 Getting Started......Page 9 1.1 Installing SciPy and NumPy......Page 10 Installing Python, NumPy, and SciPy separately......Page 18 1.2 Editing SciPy programs......Page 21 1.3 Program structure......Page 24 1.4 Quick reference program......Page 27 Chapter 2 Arrays......Page 29 2.1 Array initialization......Page 30 2.2 Array searching......Page 35 2.3 Array sorting......Page 39 2.4 Array shuffling......Page 43 Chapter 3 Matrices......Page 47 3.1 Matrix initialization......Page 48 3.2 Matrix multiplication......Page 53 3.3 Matrix transposition......Page 57 3.4 Matrix determinants......Page 60 3.5 Matrix inversion......Page 64 3.6 Matrix loading from file......Page 69 Chapter 4 Combinatorics......Page 73 4.1 Permutations......Page 74 4.2 Permutation successor......Page 78 4.3 Permutation element......Page 82 4.4 Combinations......Page 86 4.5 Combination successor......Page 91 4.6 Combination element......Page 96 Chapter 5 Miscellaneous Topics......Page 100 5.1 Array binary search......Page 101 5.2 Matrix decomposition......Page 104 5.3 Statistics......Page 109 5.4 Random numbers......Page 112 5.5 Double factorial......Page 116 5.6 The gamma function......Page 118