September 2026
1051 pages
35h 4m
English
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43 Scientific Computing and Data Science
In recent years, Python has become the dominant programming language in data science. This is partly due to a number of common and popular third-party modules for scientific computing and data record handling, which we’d like to introduce in this chapter.
The numpy and scipy modules presented here can be used, for example, to solve equations and optimization problems, calculate integrals, and perform statistical calculations or simulations. The results can be visualized via the matplotlib module. The capabilities are comparable to environments such as MATLAB or Scilab. Finally, we’ll describe the pandas module as a comprehensive solution for analyzing, manipulating, and visualizing large data records. ...
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