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The title of this book is “Python for Scientists”, but what does that mean? The dictionary
defines “Python” as either (a) a non-venomous snake from Asia or Saharan Africa
or (b) a computer scripting language, and it is the second option which is intended here.
(What exactly this second definition means will be explained later.) By “scientist”, I
mean anyone who uses quantitative models either to obtain conclusions by processing
pre-collected experimental data or to model potentially observable results from a more
abstract theory, and who asks “what if?”. What if I analyze the data in a different way?
What if I change the model? Thus the term also includes economists, engineers, mathematicians
among others, as well as the usual concept of scientists. Given the volume of
potential data or the complexity (non-linearity) of many theoretical models, the use of
computers to answer these questions is fast becoming mandatory.