Lesson Schedule

1. Python Basics	How do I start the Python interpreter? What is a variable?
2. Arrays, Lists etc	What is a list? How do I access values in a list? How to select a range of values from a list?
3. Repeating actions using loops	How do I repeat a task? What is a for loop? How to iterate over a list? How to iterate over a range of values?
4. Processing data files	How do I open files? How do I get data out of text?
5. Making choices	How do I perform logical operations in Python?
6. Modularising your code using functions	What is a function? Why would I want to use a function? Where should I put my functions?
7. Handling Errors	How can I use an error to understand where my code stopped working? What types of errors are there in Python?
8. Command-Line Programs	How can I run a program from the command line? Can I tell the program to use different inputs from the command line? Can I use a python program in a command line pipeline?
9. Reading and analysing Patient data using libraries	I work mostly with numerical data are there better methods than strings and lists? I’ve heard python can be slow when working with big data is there anything I can do about that?
10. Data Visualisation	How can I visualise my data? Can I use python to output plots for papers?
11. Python Style Guide	How do I write good-looking python?
12. Survey
13. Challenges
14. Why Python?
Finish

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