The premise of this book, is that if you know how to program, you can use that skill to learn other topics. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops.
The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three chapters on probability theory, then enters what Bayesian inference is.
Crypto 101 is an introductory course on cryptography, freely available for programmers of all ages and skill levels.
The authors’ goal is to provide insight into how to choose a programming style and structure a program, consistent with a given problem, so that it is maintainable and its components are reusable.
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a first or second year undergraduate course on mathematics for scientists and engineers.
This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly.
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