You can download the slides for lectures here. We will try to upload lectures prior to their corresponding classes. Recordings will be available here or via panopto.

  • 01 Introduction, Variables & Data Types
    tl;dr: Overview of the course, motivation, and introduction to python data types and variables
    [slides] [recording]
  • 02 Conditionals, Functions, Strings, Lists & Loops
    tl;dr: Rest of python's basic syntax and flow-control methods
    [slides] [recording]
  • 03 While, Dictionaries, Modules, Reproducibility
    tl;dr: Going beyond all the code in a single script/notebook
    [slides] [recording]
  • 04 Functional Programming
    tl;dr: Diving deeper into functions
    [slides] [recording]
  • 05 Object Oriented Programming
    tl;dr: Objects and Classes
    [slides] [recording]
  • 06 Files & Exceptions
    tl;dr: Overview of exceptions, asserts, filesystems, file I/O, and some practice questions
    [slides] [recording]
  • 07 Mid-Term Review
    tl;dr: Review of practice exam results and answering strategies
    [slides]
  • 08 Data Manipulation and Visualisation
    tl;dr: Overview of pandas Series, DataFrames, and plotting functions
    [slides] [recording]
  • 09 Randomness and Probability
    tl;dr: Overview of numpy, random number generation, and the scientific applications of random numbers
    [slides] [recording]
  • 10 Regression
    tl;dr: Overview of linear regression in python and matplotlib.pyplot
    [slides] [recording]
  • 11 Machine Learning
    tl;dr: Overview of traditional machine learning in python with scikit-learn
    [slides] [recording]
  • 12 Networks
    tl;dr: Overview of networks/graphs with networkx
    [slides] [recording]