Lectures - Adv

  1. Importing Data Into Python
  2. Exporting Data From Python
  3. Version Control
  4. Numpy
  5. Matplotlib
  6. Shebangs
  7. Introduction to Relational Databases
  8. Database Structure
  9. Object Oriented Programming (Code examples: city.py, car.py, whale.py, inheritance.py)
  10. Code Like a Pythonista: Idiomatic Python
  11. Scientific Programming in Python (Code examples: Numpy, Scipy, StatsModels, RPy2, BioPython)
  12. Parallel processing (Code examples: Multiprocessing, Parallel Python local, Parallel Python remote)
  13. Graphical User Interfaces (Code examples: basic, controls, sizers, nested sizers, events, long task, segfault, timer)
  14. Packaging (Code examples: pythonpy, setup, setup2, setup3)