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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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has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical;
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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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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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A comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations Book;
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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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Practical Numerical and Scientific Computing with MATLAB (R) and Python concentrates on the practical aspects of numerical analysis and;
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Practical Numerical and Scientific Computing with MATLAB (R) and Python concentrates on the practical aspects of numerical analysis and;
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bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This;
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bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This;
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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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Python zudem einen praktischen Einstieg in das Scientific Computing für datenintensive Anwendungen mit Python. Zu den Themen gehören;
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This book shows the application of OOP technique using C , Java, Python and Matlab. These languages stand among the most popular ones to;
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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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optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications;
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-the-go Who This Book Is For Python developers, aspiring data scientists, and analysts who want to get started with scientific computing;
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the physical problem together with a data structure that serves as an interface to programming in Excel and Python. When a solution;
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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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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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Conference on Applied Parallel and Scientific Computing, PARA 2010, held in Reykjavik, Iceland, in June 2010. These volumes contain three keynote;
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The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The;
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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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This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real;
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This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real;
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concepts are first introduced in the particularly user-friendly Python language and then transferred and expanded in various scientific programming;
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