The Python scientific software stack
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Why has Python become such a widely used programming language, particularly for scientific software? There are two simple but telling answers: (i) it is an incredibly elegant language with minimal formatting overhead that is straight-forward to learn even for people that never programmed before, and (ii) there exists a well-established stack of high-quality libraries for many aspects of scientific software, namely NumPy, SciPy and Matplotlib, to name the most important general-purpose tools. Another quite important aspect that cannot be overestimated is the quality of the available official documentation, both for Python as a programming language and the mentioned libraries forming the Python scientific software stack.


* The tools: Python scientific software stack

  * NumPy -- https://numpy.org/
  * SciPy -- https://www.scipy.org/
  * Matplotlib -- https://matplotlib.org/

For now, readers are referred to the `Scipy Lecture Notes <http://scipy-lectures.org/index.html>`_ available online as HTML as well as (beautifully typeset) PDF versions.