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Python programming. It fills an information gap by describing the development of Python Power Electronics, an open-source software for simulating;
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Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a;
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with the popular open source language Python, can be used to build powerful and intelligent IoT systems with intuitive interfaces. This;
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using the QUCS open-source circuit simulator. Solutions and other material are provided on the YouTube channel created for this book by the;
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of instruction is ideal if you've had at least one semester of programming experience in an object-oriented language, such as Java (TM), C++ or Python;
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. Experienced Python developers who want to learn about geospatial concepts, work with geospatial data, solve spatial problems, and build map-based;
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Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances;
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inventive programs and fun games on your powerful Raspberry Pi-with no programming experience required. Programming the Raspberry Pi (TM): Getting;
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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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SDN, where you will use a Python-based controller with OpenFlow in a hands-on lab to learn its concepts and applications. We will compare and;
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Manipulate and analyze network data with the power of Python and NetworkX Key Features Understand the terminology and basic concepts;
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--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two;
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is the science of reading, analyzing, and presenting geospatial data programmatically. The Python language, along with dozens of open source;
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programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today's most compelling;
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that combines remarkable power with clear syntax. This book enables you to quickly create robust, reliable, and reusable Python applications by;
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working withon Electrical and Electronics Engineering.;
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Doing Science With Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter;
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you set up your Raspberry Pi with the necessary equipment such as the monitor, keyboard, mouse, power supply, and so on. It will then dive;
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programming experts, who are highly visible on email lists and in newsgroups, and speak often at Python conferences. With scores of practical examples;
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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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samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python;
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samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python;
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Launch into coding with Mission: Python, a space-themed guide to building a complete computer game in Python. As you work through the book;
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networks, and modern convolutional neural networks. Experiments in Python - working with leading open-source toolkits and standard datasets - give;
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and NumPy modules * A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts Who This Book;
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Elegantly-built GUI applications are always a massive hit among users. PySide is an open source software project that provides Python bindings for;
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