Python Numerical
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Chapter 0: About
chapter 1: Introduction to Computing with Python
chapter 2: Vectors,Matrics, and Multidimensional Arrays
chapter 3: Symbolic Computing
chapter 4: Plotting and Visualization
chapter 5: Equation Solving
chapter 6: Optimization
chapter 7: Interpolation
chapter 8: Integration
chapter 9: Ordinary Differential Equations
chapter 10: Sparse Matrics and Graphs
chapter 11: Partial Differential Equations
chapter 12: Data Processing and Analysis
chapter 13: Statistics
chapter 14: Statistical Modeling
chapter 15: Machine Learning
chapter 16: Bayesian Statsics
chapter 17: Signal Processing
chapter 18: Data Input and Output
chapter 19: Code Optimization
19.1 Why Playful?
19.2 The Jujitsu of Programming
19.3 Prototyping
19.4 Configuration
19.5 Logging
19.6 If You Can’t Be Bothered
19.7 If You Want to Learn More
19.8 A Quick Summary
Python Numerical
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chapter 19: Code Optimization
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chapter 19: Code Optimization
¶
19.1 Why Playful?
¶
19.2 The Jujitsu of Programming
¶
19.3 Prototyping
¶
19.4 Configuration
¶
19.5 Logging
¶
19.6 If You Can’t Be Bothered
¶
19.7 If You Want to Learn More
¶
19.8 A Quick Summary
¶
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