2020

Lecture 1: Introduction

• Recordings

• Introduction Slides

• Whirlwind Tour (static)

• Homework sheet

Lecture 2: Basic Programming with Python

• Recordings

• Jupyter Notebook (static)

• Homework sheet

• Sample solution

• Practice Recording

• Sample Solution Recording

Lecture 3: Advanced Programming with Python

• Recordings

• Jupyter Notebooks (static)

• Homework sheet

• Sample Solution

• Practice Recording

• Sample Solution Recording

Lecture 4: Numerical Computing with Numpy

• Recordings

• Jupyter Notebooks

• Homework Sheet

• Sample Solution

• Sample Solution Recording

Lecture 5: Code Quality & Debugging

• Recordings

• Jupyter Notebooks

• Other Files

• Homework Sheet

• Homework Sample Solution

• Bonus Homework Sheet

• Bonus Homework Sample Solution

Lecture 6: Plotting with Matplotlib

• Recordings

• Jupyter Notebooks

• Homework Sheet

• Sample Solution

• Practice Recording

Lecture 7: Framing Data with Pandas

• Recordings

• Jupyter Notebooks

• Homework Sheet

• Sample Solution

• Practice Recording

• Sample Solution Recording

Lecture 8: Cleaning and Analyzing Data with Pandas

• Recordings: Cleaning
• Recordings: Analyzing

• Jupyter Notebooks

• Homework Sheet

• Sample Solution

• Practice Recording

Lecture 9: Statistical Visualization

• Recordings

• Jupyter Notebooks

• Homework Sheet

• Sample Solution

• Sample Solution Recording

Lecture 10: Mathematical Processing with Scipy

• Recordings

• Jupyter Notebooks

• Homework Sheet

• Sample Solution

• Practice Recording

• Sample Solution Recording

Lecture 11: Statistical Modeling with Statsmodels

• Recordings

• Jupyter Notebooks

• Homework Sheet

• Sample Solution

• Sample Solution Recording

Lecture 12: Designing Experiments with Psychopy and Expyriment

• Recordings

• Jupyter Notebooks

• Homework Sheet

• Sample Solution

• Practice Recording

Lecture 13: Performance Optimization

• Recordings

• Jupyter Notebooks

• Homework Sheet

• Sample Solution