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6-scientific-python

Numpy, scipy, pandas

Notebooks:

  • Notebooks/nb-6.1-numpy-hands-on.ipynb [in class]
  • Notebooks/nb-6.2-numpy-random.ipynb
  • Notebooks/nb-6.3-scipy.ipynb
  • Notebooks/nb-6.4-pandas.ipynb
  • Notebooks/nb-6.5-assignment.ipynb

Assignment:

  • Complete notebook 6.5 and all instructions therein. This will involve making a pull request to share the notebook, and creating a new repo in your GitHub account. Due Friday by 5pm.

Code Reviews:

  • Complete instructions in the Code-Review/README.md. Due Monday by class. Code review map file will be made available shortly.

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Scientific tools for Python: Numpy, Scipy, Pandas

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