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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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, students, and anyone who wants to use Python for computation. Readers are expected to possess basic a knowledge of scientific computing and;
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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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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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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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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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Enhance the power of NumPy and start boosting your scientific computing capabilities Key Features Grasp all aspects of numerical computing;
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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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interactive data science and visualization Become an expert in high-performance computing and visualization for data analysis and scientific modeling;
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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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Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;
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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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concepts are first introduced in the particularly user-friendly Python language and then transferred and expanded in various scientific programming;
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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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A short and straight to the point guide that explains the implementation of Regular Expressions in Python. This book is aimed at Python;
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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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This book is intended to serve as a basic introduction to scientific computing by treating problems from various areas of physics;
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a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design;
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