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Dynamical Systems with Applications using Python

, neural networks, and binary oscillator computing. Dynamical Systems with Applications Using Python takes advantage of Python's extensive;

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Dynamical Systems with Applications using Mathematica (R)

This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica® computer algebra package. The;

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Beginning Python 3.0

Beginning Python: Using Python 2.6 and Python 3.1 introduces this open source, portable, interpreted, object-oriented programming language;

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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

of dynamical systems is presented. It is illustrated with examples in the MATLAB programming language. Third, a new method for model-based adaptive;

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Dynamical Systems Generated by Linear Maps

The book deals with dynamical systems, generated by linear mappings of finite dimensional spaces and their applications. These systems have;

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DevOps in Python

Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system;

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Implementing Cryptography Using Python

cryptography works to protect users, data, and assets. Implementing Cryptography Using Python will teach you the essentials, so you can apply proven;

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Building Machine Learning Systems with Python

Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;

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Nonlinear Dynamical Systems with Self-Excited and Hidden Attractors

attractors. Further, it presents both theoretical and practical approaches to investigating nonlinear dynamical systems with self-excited and hidden;

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Privacy in Dynamical Systems

This book addresses privacy in dynamical systems, with applications to smart metering, traffic estimation, and building management. In the;

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Privacy in Dynamical Systems

This book addresses privacy in dynamical systems, with applications to smart metering, traffic estimation, and building management. In the;

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Distributed Computing with Python

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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Getting Started with Python for the Internet of Things

Build clever, collaborative, and powerful automation systems with the Raspberry Pi and Python. Key Features Create your own Pi-Rover or Pi;

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Python Geospatial Development - Third Edition

Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development About This Book * Build web;

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Infinite Ergodic Theory of Numbers

By connecting dynamical systems and number theory, this graduate textbook on ergodic theory acts as an introduction to a highly active area;

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Perspectives in Dynamical Systems III: Control and Stability

This volume is part of collection of contributions devoted to analytical and experimental techniques of dynamical systems, presented at the;

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Practical Python Programming for IoT

of this book, you'll be well-versed with IoT development and have the knowledge you need to build sophisticated IoT systems using Python. What;

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Parallel Programming With Python

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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Discrete-Time and Discrete-Space Dynamical Systems

Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several;

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Discrete Time and Discrete Space Dynamical Systems

Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several;

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Python for Finance 2e Mastering DataDriven Finance

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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Dynamical Systems

structures; the stability and persistence of dynamical systems using Lyapunov functions; Krylov and Schur subspaces in construction of prediction;

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MySQL for Python

starts with an explanation of the various areas for using MySQL for Python and ends with work on a sample application using the programming calls;

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Modelling, Analysis, and Control of Networked Dynamical Systems

to emergent global behaviors in a given networked dynamical system. Divided into four sections, the first part of the book begins with some;

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Python High Performance -

multiple processors and machines with parallel programming Who This Book Is For The book is aimed at Python developers who want to improve;

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Building Web Applications with Python and Neo4j

About This Book Develop a set of common applications and solutions with Neo4j and Python Secure and deploy the Neo4j database;

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