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Daniel Arbuckle's Mastering Python
Key Features
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Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
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Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
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Get introduced to the mechanism for rewriting code in a
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The Variational Bayes Method in Signal ProcessingThis is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing... | | | | |
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The Quick Python Book
The Quick Python Book, Second Edition, is a clear, concise introduction to Python 3, aimed at programmers new to Python. This updated edition includes all the changes in Python 3, itself a significant shift from earlier versions of Python.
The book begins with basic but useful programs that teach the core features of syntax,... | | Analog Circuit Design for Process Variation-Resilient Systems-on-a-Chip
This book describes several techniques to address variation-related design challenges for analog blocks in mixed-signal systems-on-chip. The methods presented are results from recent research works involving receiver front-end circuits, baseband filter linearization, and data conversion. These circuit-level techniques are described, with... | | Fluent Python
Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you... |
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