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Extensive curriculum and work for independent study - Python for math and science.

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This is a very extensive curriculum and should comprise up to 10 weeks of rigorous introductory Python.

Topics cover important, foundational skills for data mining, science, and research with Python including:

  • data structures, control structures, data types
  • matplotlib (graphing and basic visualization)
  • pandas (data handling, cleaning, statistics)
  • numpy (numerical computation/calculus, linear algebra, etc.)

It is assumed that anyone using these materials has a very strong understanding of algebra and is familiar with basic concepts in statistics and calculus.

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