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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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For courses in Computer Programming with Python. Social Computing and Programming with Python Introduction to Computing and Programming;
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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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A complete guide for Python programmers to master scientific computing using Python APIs and tools About This Book * The basics;
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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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approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the;
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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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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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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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introduction to using Python for computational biology... A lovely book with humor and perspective -- John Novembre, Associate Professor of Human;
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introduction to using Python for computational biology... A lovely book with humor and perspective -- John Novembre, Associate Professor of Human;
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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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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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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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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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quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files. The book;
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Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a;
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Python Workout presents 50 exercises designed to deepen the reader's skill with Python. Readers will not only tackle exercises;
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Why learn Scala? You don't need to be a data scientist or distributed computing expert to appreciate this object-oriented functional;
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Inside this book you will find all the basic notions to start with Python and all the programming concepts to implement predictive;
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a Python environment for Spark. You'll then get familiar with the modules available in PySpark and start using them effortlessly;
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Think like a programmer with this fun beginners guide to Python for ages 10 to 14 Kids can learn to code with;
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Inside this book you will find all the basic notions to start with Python and all the programming concepts to build machine learning;
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functional test cases with a syntax-based approach for Selenium WebDriver. You'll begin by reviewing the basics of Selenium WebDriver and its;
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