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Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and;
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MATLAB can run Python code!Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array;
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Intermediate-Advanced user level;...
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Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this;
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MATLAB can run Python code! Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array;
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Learn how analog circuit simulators work with these easy to use numerical recipes implemented in the popular Python programming environment;
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Learn how analog circuit simulators work with these easy to use numerical recipes implemented in the popular Python programming environment;
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The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it;
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to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how;
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to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how;
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This book provides readers with an in-depth discussion of circuit simulation, combining basic electrical engineering circuit theory with;
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necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming;
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necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming;
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loop testing. Examples, exercises and a set of simulation solvers implemented in Matlab (R) and Python are also provided;
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, linear simulation of circuits, de-embedding, and virtual probing, all with expert guidance. Learn about the interconnectedness of s-parameters;
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knowledge of programming, mathematics, and probability theory, Computer Simulation: A Foundational Approach Using Python takes a hands-on approach;
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knowledge of programming, mathematics, and probability theory, Computer Simulation: A Foundational Approach Using Python takes a hands-on approach;
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second edition of this pioneering book aims to explain how simulation programs work, how to use them, and how to interpret the results, with;
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second edition of this pioneering book aims to explain how simulation programs work, how to use them, and how to interpret the results, with;
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techniques including geometry-optimization, normal-mode analysis, molecular dynamics, and Monte Carlo simulation. Using Python, the second edition;
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Kick-start your development journey with this end-to-end guide that covers Python programming fundamentals along with application;
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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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high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context;
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Python projects. Your journey to better code starts with understanding the importance of formatting and documenting your code for maximum;
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This fourth edition of Python Pocket Reference has been thoroughly revised to cover the latest language release, Python 3.x, along with;
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Python to power ArcGIS to create shortcuts, scripts, tools, and customizations. Programming ArcGIS 10.1 with Python Cookbook is written for GIS;
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Gain a thorough understanding of operating in a Python development environment, and some of the most important advanced topics with Daniel;
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