The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
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This compilation brings us 23 sites and apps that will guide and aid you in finding what to read next. A plethora of methods can be found among these sites, from a simply input to generate similar suggestions, to various pool of ideas from geniuses and well-known individuals.
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In this post, we’ve covered a pretty long list of free ebooks covering various topics such as Programming, Python, API Design, Data Science, Artificial Intelligence, Machine & Deep Learning, Probability & Statistics, Algebra, Algorithms and many more.
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247 free computer science ebooks ranging from programming, mathematics, databases, logics to operating systems.
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This book emphasizes two important areas. First, it reviews the framework within which computer science and the study of algorithms and data structures must fit, in particular, the reasons why we need to study these topics and how understanding these topics helps us to become better problem solvers. Second, we review the Python programming language.
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Why is this book different from all other books on mathematical probability and statistics? The key aspect is the book’s consistently applied approach, especially important for engineering students.
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This book will be useful for those in the scientific community who gather data and seek tools for analyzing and interpreting data. It will be a valuable reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis as well as a supplemental text in courses on research methodology, pattern recognition, image processing, and re-mote sensing.
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In computer science, beginning courses are trapped in an approach that was already ten years out of date by the time it was canonized in the mid 80s. This book points the way out of the trap. It emphasizes programming as a way to express ideas, rather than just a way to get computers to perform tasks.
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