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distributed computing * See synchronous and asynchronous programming * Explore parallelism in Python * Distributed application with Celery;
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discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker. You will understand;
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Parallel and Distributed Computing Applications examines various dimensions of parallel and distributed computing applications along with;
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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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about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming;
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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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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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of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed;
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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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Distributed computing and Java go together naturally. As the first language designed from the bottom up with networking in mind, Java makes;
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abstractions, distributed objects or services, allow software designers and programmers to cope with asynchrony and the most important types;
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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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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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This is an all-inclusive survey of the fundamentals of parallel and distributed computing. The use of parallel and distributed computing;
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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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', distributed computing is mainly concerned with 'mastering uncertainty' created by issues such as the multiplicity of control flows, asynchronous;
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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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This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the;
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This book constitutes the refereed proceedings of the International conference on Parallel and Distributed Computing and Networks, PDCN;
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This book constitutes the proceedings of the 13th International Conference on Distributed Computing and Internet Technology, ICDCIT 2017;
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This book constitutes the refereed proceedings of the 10th International Conference on Distributed Computing and Internet Technology;
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