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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The smaller in file-size you can make your images, the better a network experience you can offer your users – especially on mobile. In this online ebook, we’ll look at ways to reduce image size through modern compression techniques with minimal impact to quality.
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This book is intended for students who have to do a software-intensive team project as part of their course of study. Most students find it hard to apply theories they previously learnt in the context of an actual project. This book is an attempt to help such students.
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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 advice in this e-book is aimed at computer science and software engineering undergraduates looking to join the computing industry in the United Kingdom, either for an industrial placement year or after graduation. You might also find this advice useful if you’re looking for your next move inside our industry.
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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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