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Frameworks installation

Open Aelphy opened this issue 6 years ago • 0 comments

Any issues concerning installation can be posted here.

In this course, we'll use the following technology stack for numerical computation

  • Git (version control)
  • Docker (containers) only if you decide to work with it.
  • Python + virtualenv / Anaconda
  • jupyter (colab ?) notebooks
  • numpy + scipy (matrices)
  • scikit-learn (ml algorithms + pipelines)
  • matplotlib (plotting)
  • pandas (low scale data processing)
  • probably? tensorflow and/or pytorch. (symbolic computation engine)

A simple roadmap to installing them can be found here -

The frameworks can be easily installed on Mac OS and Linux. Windows installation is, a bit tougher, so if you don't feel like it, try using docker (e.g. kitematic gui or console on windows).

If you run into any trouble, feel free to post here, even if it's like "i don't know what the hell all these letters mean!!!".

Aelphy avatar Sep 18 '18 13:09 Aelphy