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For courses in Python Programming Now in its 3rd Edition, Practice of Computing Using Python continues to introduce both majors and non;
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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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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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up and running with Python numerical computations * Explore numerical computing and mathematical libraries using Python 3.x code with SciPy;
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Master efficient parallel programming to build powerful applications using Python About This Book * Design and implement efficient;
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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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applications in business, science, and the arts, using various Python tools and open source packages.;
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Explore different quantum gates and build quantum circuits with Qiskit and Python Write succinct code the Pythonic way using magic methods;
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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 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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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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. Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This;
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tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part;
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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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Harness the power of multiple computers using Python through this fast-paced informative guide About This Book * You'll learn to;
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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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using Python will find this book an indispensable resource. If you want to learn how to manipulate and visualize your data using the SciPy Stack;
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Introduction to Computer Science Using Python: A Computational Problem-Solving Focus,recommended by Guido van Rossum, the creator of Python;
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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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underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing;
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Python for Rookies is designed to help students learn how to program. Using the Python language as a tool, the approach taken teaches;
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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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linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python;
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linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python;
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