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Data Science | Oracle
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SciPy
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Scipy Lecture Notes — Scipy lecture notes
1. Getting started with Python for science 1.1. Python scientific computing ecosystem 1.1.1. Why Python? 1.1.1.1. The scientist’s needs 1.1.1.2. Python’s strengths 1.1.1.3. How does Python compare to other solutions? Compiled languages: C, C++, Fortran… Matlab scripting language Julia Other scripting languages: Scilab, Octave, R, IDL, etc. Python 1.1.2. The...