Notes for Python coding for psychological sciences, Fall 2019.
Original documents are in Jupyter notebook format. You can view files (on your browser) via links provided below (rendered via NBViewer). To run codes in these Jupyter documents, I highly recommend cloning this repository.
- Introduction, programming tools (8/29)
- Operators (9/3)
- Comparisons and if statements (9/5)
- While loops (9/10)
- For loops (9/12)
- Functions (9/17)
- Lists (9/19-9/24)
- Dictionaries (9/26)
- String manipulation (10/1)
- Reading and writing files (10/3 - 10/8)
- NumPy arrays (10/10 - 10/15)
- Git & GitHub (10/17)
- Data visualization (10/29 - 10/31)
- Pandas (11/5 - 11/7)