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Numerical Python. A Practical Techniques Approach for Industry

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Author(s): Robert Johansson
Publisher: Apress
Year: 2015

Language: English
Pages: 503
Tags: Programming Languages, Compilers, Interpreters; Mathematical Software

Front Matter....Pages i-xxii
Introduction to Computing with Python....Pages 1-24
Vectors, Matrices, and Multidimensional Arrays....Pages 25-62
Symbolic Computing....Pages 63-88
Plotting and Visualization....Pages 89-123
Equation Solving....Pages 125-145
Optimization....Pages 147-168
Interpolation....Pages 169-186
Integration....Pages 187-206
Ordinary Differential Equations....Pages 207-234
Sparse Matrices and Graphs....Pages 235-254
Partial Differential Equations....Pages 255-284
Data Processing and Analysis....Pages 285-311
Statistics....Pages 313-332
Statistical Modeling....Pages 333-362
Machine Learning....Pages 363-382
Bayesian Statistics....Pages 383-404
Signal Processing....Pages 405-424
Data Input and Output....Pages 425-451
Code Optimization....Pages 453-470
Installation....Pages 471-479
Back Matter....Pages 481-487