Lectures - Intro

  1. Expressions, types, variables, & errors
  2. Functions
  3. Numpy
  4. Matplotlib
  5. Databases - Introduction
  6. Methods
  7. Lists 2 - Slicing, looping, and aliasing
  8. Lists 3 - Methods, nested lists
  9. Problem decomposition
  10. Databases - Joins
  11. Database Structure
  12. Databases - Nested Queries
  13. Debugging
  14. Scientific Programming in Python (Code examples: Numpy, Scipy, StatsModels, RPy2, BioPython)
  15. Databases using SQL (Software Carpentry)
  16. Sets and Dictionaries