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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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Python (R) is a free open-source language and environment that has tremendous potential in the scientific computing domain. Computing with;
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For courses in Computer Programming with Python. Social Computing and Programming with Python Introduction to Computing and Programming;
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data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs. Style and approach;
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up and running with Python numerical computations * Explore numerical computing and mathematical libraries using Python 3.x code with SciPy;
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science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid;
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advanced features, including machine learning, analyzing data, and searching Book DescriptionDancing with Python helps you learn Python and;
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A Functional Start to Computing with Python enables students to quickly learn computing without having to use loops, variables, and object;
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A Functional Start to Computing with Python enables students to quickly learn computing without having to use loops, variables, and object;
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A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the;
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programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered;
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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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will learn, by example, how to perform GPU programming with Python, and you'll look at using integrations such as PyCUDA, PyOpenCL, CuPy and;
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interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy;
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Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathemati;...
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write data processing programs in Python that are highly available, reliable, and fault tolerant * Make use of Amazon Web Services along with;
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This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on;
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Learn how to build physical computing systems using BeagleBone Black and Python About This Book * Get to grips with the fundamentals;
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Sie wollen alles erfahren über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von strukturierten Daten mit Python 3? Dieses;
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Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to;
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, neural networks, and binary oscillator computing. Dynamical Systems with Applications Using Python takes advantage of Python's extensive;
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statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader;
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introductory projects to more advanced studies in later courses. The book also introduces Python programming, providing students with sufficient;
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