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. Writing and running Python from Spyder	How can I write Python programs that persist in time? How can I use a Python development environment like Spyder?
00:50	4. 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?
01:15	5. Libraries	How can I use software that other people have written? How can I find out what that software does?
01:35	6. Analyzing Patient Data	How can I process tabular data files in Python?
02:35	7. Visualizing Tabular Data	How can I visualize tabular data in Python? How can I group several plots together?
03:25	8. Reading Tabular Data into DataFrames	How can I read tabular data?
03:45	9. Pandas DataFrames	How can I do statistical analysis of tabular data?
04:15	10. Storing Multiple Values in Lists	How can I store many values together?
05:00	11. For Loops	How can I make a program do many things?
05:25	12. Conditionals	How can programs do different things for different data?
05:50	13. Looping Over Data Sets	How can I process many data sets with a single command?
06:05	14. Errors and Exceptions	How does Python report errors? How can I handle errors in Python programs?
06:35	15. Writing Functions	How can I create my own functions?
07:00	16. Variable Scope	How do function calls actually work? How can I determine where errors occurred?
07:20	Finish

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