Daniel Arbuckle's Mastering Python
Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
Get introduced to the mechanism for rewriting code in a
The Variational Bayes Method in Signal Processing This 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...
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...
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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