This book attempts to explain Computational Thinking, as if this were 2018, and not 1970. It is a first step in becoming a highly productive programmer who knows how to use tools developed over the last four decades to quickly write correct programs, or a software architect who sees the fundamentals of a operational problem and the fundamentals of data structures, and joins them in a solution.
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This book provides hands-on introduction to the collection and analysis of Twitter data from the perspective of a novice. No knowledge of data analysis, or social network analysis is presumed. For all the concepts discussed in this book, we will provide in-depth description of the underlying assumptions and explain via construction of examples.
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A book to give beginning computer science majors a solid foundation for further study. It is also to give students who will not take advanced courses in computer science the conceptual tools that the field provides.
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While there have been already a lot of wonderful books about algorithms, data structures and math, however, few of them provide the comparison between the procedural solution and the functional solution. It can be found that functional solution sometimes is very expressive and they are close to what we are familiar in mathematics.
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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.
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Crypto 101 is an introductory course on cryptography, freely available for programmers of all ages and skill levels.
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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.
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The goal of this book is simple. We want to take a look at something that naturally occurs in our physical world, then determine how we can write code to simulate that occurrence. In the end, if this book is anything, it is really just a good old-fashioned programming book.
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