目錄(74章)
倒序
- coverpage
- Learning SciPy for Numerical and Scientific Computing Second Edition
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Introduction to SciPy
- What is SciPy?
- Installing SciPy
- SciPy organization
- How to find documentation
- Scientific visualization
- How to open IPython Notebooks
- Summary
- Chapter 2. Working with the NumPy Array As a First Step to SciPy
- Object essentials
- Using datatypes
- Indexing and slicing arrays
- The array object
- Array routines
- Summary
- Chapter 3. SciPy for Linear Algebra
- Vector creation
- Vector operations
- Creating a matrix
- Matrix methods
- Summary
- Chapter 4. SciPy for Numerical Analysis
- The evaluation of special functions
- Convenience and test functions
- Univariate polynomials
- The gamma function
- The Riemann zeta function
- Airy and Bairy functions
- The Bessel and Struve functions
- Other special functions
- Interpolation
- Regression
- Optimization
- Integration
- Ordinary differential equations
- Lorenz attractors
- Summary
- Chapter 5. SciPy for Signal Processing
- Discrete Fourier Transforms
- Signal construction
- Filters
- Summary
- Chapter 6. SciPy for Data Mining
- Descriptive statistics
- Distributions
- Interval estimation correlation measures and statistical tests
- Distribution fitting
- Distances
- Clustering
- Summary
- Chapter 7. SciPy for Computational Geometry
- The structural model of oxides
- A finite element solver for Laplace's equation
- Summary
- Chapter 8. Interaction with Other Languages
- Interaction with Fortran
- Interaction with C/C++
- Interaction with MATLAB/Octave
- Summary
- Index 更新時間：2021-07-23 20:20:05
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