Contents

In this course, we will cover basic concepts of Python programming and explore its usage in a neuroscientific context.

• Class 0: Background and Basic Syntax
• Class 1: More Syntax and The Python Stack
• Class 2: Virtual Environments and Object-oriented Programming (OOP)
• Class 3: More OOP and Exception Handling
• Class 4: The Scientific Stack - Part I: numpy
• Class 5: The Scientific Stack - Part II: matplotlib and pandas
• Class 6: Advanced pandas
• Class 7: More pandas, Visualizations, xarray and Modeling
• Class 8: Testing and Test-Driven Development
• Class 9: Advanced and Performant Python
• Class 10: Introduction to Machine Learning
• Class 11: Git and More Python Libraries