Programming with Python: Instructor Notes

About the lesson

Our real goal isn’t to teach workshop attendees Python as a programming language, but to teach them the basic concepts that all programming depends on. We use Python in our lessons because:

  1. It is free and open-source software.
  2. It is well-documented and runs on all platforms.
  3. It has a large and constantly growing user-base which includes scientists.
  4. It is easier for novices to pick up than most other languages.

Legend

We are using a dataset with records on inflammation from patients following an arthritis treatment.

We make reference in the lesson that this data is somehow strange. It is strange because it is fabricated! The script used to generate the inflammation data is included as code/gen_inflammation.py.

Overall

This lesson is written as an introduction to Python, but its real purpose is to introduce the single most important idea in programming: how to solve problems by building functions, each of which can fit in a programmer’s working memory. In order to teach that, we must teach people a little about the mechanics of manipulating data with lists and file I/O so that their functions can do things they actually care about. Our teaching order tries to show practical uses of every idea as soon as it is introduced; instructors should resist the temptation to explain the “other 90%” of the language as well.

The final example asks them to build a command-line tool that works with the Unix pipe-and-filter model. We do this because it is a useful skill and because it helps learners see that the software they use isn’t magical. Tools like grep might be more sophisticated than the programs our learners can write at this point in their careers, but it’s crucial they realize this is a difference of scale rather than kind.

Explain that we use Python because:

We do not include instructions on running the Jupyter Notebook in the tutorial because we want to focus on the language rather than the tools. Instructors should, however, walk learners through some basic operations:

Watching the instructor grow programs step by step is as helpful to learners as anything to do with Python. Resist the urge to update a single cell repeatedly (which is what you’d probably do in real life). Instead, clone the previous cell and write the update in the new copy so that learners have a complete record of how the program grew. Once you’ve done this, you can say, “Now why don’t we just break things into small functions right from the start?”

The discussion of command-line scripts assumes that students understand standard I/O and building filters, which are covered in the lesson on the shell.

Frequently Argued Issues (FAI)

After discussing the challenges is a good time to introduce the b *= 2 syntax.