Python Training
There are lots of free resources out there to learn Python. We are not going to reinvent the wheel. Rather, this program will use those free resources and add to it tasks that involve real economic work, very often the same kind of work that we do in our economic research. We hope that this training program helps you succeed in future research work of your own and give you an edge when applying to predocs and data science careers. This training program can be a great addition to a Python class that you’re taking (such as CMSC 140s), but you can also go through it while learning Python with external modules that we will link in each training task.
We will follow the Runestone tutorials. It is expected for you to finish the training modules over 3 academic quarters.
Runestone thinkcspy: Chapters 1-10
Runestone thinkcspy: Chapters 11-13, 16-18, 20
Runestone py4e-int: Chapters 12, 14, 21-22
Selenium