juliakm / practical_python

Learn just enough Python to start analyzing and visualizing data.

Practical Python

A Python class where you can learn just enough of the basics to start examining data in Jupyter notebooks. [Under construction!]

Details

This is a Python class for complete beginners. Each week will involve a bit of practical preview and instruction before each class to prepare us for the material each week.

Programming is 80% muscle memory, so the way you learn to do it isn't to read and memorize things (e.g., Kreb's Cycle), but through practice and repetition (e.g., riding a bike). We will be learning Python through the use of Jupyter notebooks, which have become the tool of choice among scientists for expressing their ideas in Python.

Week 0

This week you will set up programming environment, give it a test run, and set up the material for the class. If you can do this before we meet, you will absolutely be able to do everything else in the class. For this material, just go to getting_started.md and follow the instructions there. Good luck!

Week 1

Week 2

Week 3

Week 4

To do

• Step 3 of getting_started.md needs to be written up nicely.
• when you finish class1, go in and add preview at end of class 0, or just have them read over class 1? Or make separate class 1 preview notebook?
• Add borders to figures.
• start making class1.

Acknowledgments

• Developed with the support from NIH Bioinformatics and the Neurobehavioral Core at NIEHS.
• Green Tree Python image is from Wikimedia.