Winter 2019-2020 Lecture Notebooks

  1. Python basics
  2. Python Classes and Objects, NumPy basics
  3. Numpy arrays and indexing (NumPy)
  4. Numerical algorithms (NumPy)
  5. Scientific computing (SciPy)
  6. Data science (Pandas)
  7. Machine learning (scikit-learn)
  8. Deep Learning (pytorch)