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1. Getting Started
2. Introduction to Python 3. Some Simple Numerical Programs 4. Functions, Scoping, and Arstraction 5. Structured Types, Mutability, and Higher-Order Functions 6. Testing and Debugging 7. Exceptions and Assertions 8. Classes and Object-Oriented Programming 9. A Simplistic Introduction to Algorithmic Complexity 10. Some Simple Algorithms and Data Structures 11. Plotting and More About Classes 12. Knapsack and Graph Optimization Problems 13. Dynamic Programming 14. Random Walks and More About Data Visualization 15. Stochastic Programs, Probability, and Distributions 16. Monte Carlo Simulation 17. Sampling and Confidence Intervals 18. Understanding Experimental Data 19. Randomized Trials and Hypothesis Checking 20. Conditional Probability and Bayesian Statistics 21. Lies, Damned Lies, and Statistics 22. A Quick Look at Machine Learning 23. Clustering 24. Classification Methods |