This book addresses the fundamental bases of statistical inferences. We shall
presume throughout that readers have a good working knowledge of Python®
language and of the basic elements of digital signal processing.
The most recent version is Python® 3.x, but many people are still working with
Python® 2.x versions. All codes provided in this book work with both these versions.
The official home page of the Python® Programming Language is
https://www.python.org/. Spyder® is a useful open-source integrated development
environment (IDE) for programming in the Python® language. Briefly, we suggest to
use the Anaconda Python distribution, which includes both Python® and Spyder®.
The Anaconda Python distribution is located at https://www.continuum.io/
downloads/.
The large part of the examples given in this book mainly use the modules numPy,
which provides powerful numerical arrays objects, Scipy with high-level data
processing routines, such as optimization, regression, interpolation and Matplotlib
for plotting curves, histograms, Box and Whiskers plots, etc. See a list of useful
functions p. xiii.

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