An introduction to Python

Schedule

	Setup	Download files required for the lesson
00:00	1. Running Python	How can I run Python programs?
00:15	2. Variables and Types	How can I store data in programs? What kinds of data do programs store? How can I convert one type to another?
00:35	3. Built-in Functions and Help	How can I use built-in functions? How can I find out what they do? What kind of errors can occur in programs?
01:00	4. Libraries	How can I use software that other people have written? How can I find out what that software does?
01:20	5. Analyzing Patient Data	How can I process tabular data files in Python?
02:20	6. Visualizing Tabular Data	How can I visualize tabular data in Python? How can I group several plots together?
03:10	7. Reading Tabular Data into DataFrames	How can I read tabular data?
03:30	8. Pandas DataFrames	How can I do statistical analysis of tabular data?
04:00	9. Storing Multiple Values in Lists	How can I store many values together?
04:45	10. For Loops	How can I make a program do many things?
05:10	11. Conditionals	How can programs do different things for different data?
05:35	12. Errors and Exceptions	How does Python report errors? How can I handle errors in Python programs?
06:05	13. Writing Functions	How can I create my own functions?
06:30	14. Variable Scope	How do function calls actually work? How can I determine where errors occurred?
06:50	15. Object Oriented Programming	What is the Object Oriented paradigm? What is an object? What is encapsulation? How do I encapsulate data in Python? When should I use the Object Oriented paradigm?
08:00	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.