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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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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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Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state;
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An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments.
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Introduction to Computer Science Using Python: A Computational Problem-Solving Focus,recommended by Guido van Rossum, the creator of Python;
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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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Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and;
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of Python for computational finance Leverage simple economic models to better understand basic notions of finance and Python programming concepts;
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This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems;
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This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems;
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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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world. With this comprehensive guide, you'll understand various computational statistical simulations using Python. Starting with the;
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A complete introduction to the field of computational physics, with examples and exercises in the Python programming language. Computers;
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Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and;
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Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and;
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Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading;
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, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a;
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combines a gradual introduction to advanced analytic methods with computer programming and quantitative policy analysis. In a clear discussion;
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in computer science, mathematics, statistics, and engineering, Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and;
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high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context;
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Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches;
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and NumPy modules * A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts Who This Book;
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Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques facilitates access to;
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This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set;
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