The tools and infrastructure used to process new types of data, and built originally for scientific purposes, tend to find their way into other fields. For example, NumPy, the library for numerical computing (which is a big part of the reason for Python’s popularity now) is built off of libraries (Numeric, Numarray) which were developed in part to help with processing images from the Hubble telescope. Python was then used as the basis for Google, because NumPy is more generally a connection to Fortran libraries which allow the types of linear algebra operations that are useful for processing other types of data. Python is used as the basis for innumerable companies because of this fact.
https://scipy.github.io/old-wiki/pages/History_of_SciPy.html
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