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skills required to assess algorithmic solutions Use computational thinking with Python for statistical analysis Understand the input and output;
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This book offers a gentle motivation and introduction to computational thinking, in particular to algorithms and how they can be coded to;
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Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python;
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Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python;
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in computational thinking and problem-solving using Python > Provide easy-to-follow explanations of concepts and terminology > Feature plenty;
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importance of linear algebra through working computational examples with R and Python, including tutorials on how to install R in the Appendix. If a;
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, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and;
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The new edition of an introduction to the art of computational problem solving using Python. This book introduces students with little;
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MATLAB can run Python code!Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array;
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guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core;
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guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core;
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-majors taking CS1 courses to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors;
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( This is not your average Python book I think this book is a great text for anyone teaching CS1 ). With a focus on computational problem solving;
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Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning;
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Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more;
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Beginning-Intermediate;...
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of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial;
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With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows;
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specific problems. Beginning with the core ideas of computational thinking, with this book you'll build up an understanding of the practical;
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MATLAB can run Python code! Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array;
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scientists, therefore, need to be lifelong learners. Problem Solving with Python takes an explicit problem-solving approach to the introduction;
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educator Sheena Vaidyanathan helps kids understand the fundamental ideas of computer programming and the process of computational thinking using;
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students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the;
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students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the;
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A guide for educators to incorporate computational thinkinga set of cognitive skills applied to problem solvinginto a broad range;
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An example-rich, comprehensive guide for all of your Python computational needs About This Book * Your ultimate resource for getting;
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was Computational Thinking for the Advancement of Society and it matched the paradigm shift in the way we think. VCCS-2016 was attended by 100 participants;
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