Readme

If you have questions about this week's lab ANY TA for this class can help you with any problems.

pandas 🐼

This week, we are sticking to Python. Specifically, our focus will be on an add-on for Python called pandas. This might get confusing, so here's a link to a cheatsheet to refer back to whenever you're confused. Trust me, it'll be useful.

• Pandas Cheat Sheet

Getting Started Again™

1. Log into SCI JupyterHub and start a terminal
2. Type in git clone https://github.com/pitt-sci-cmpinf0010/Pandas-Part2.git and hit the enter key
3. This should download a folder to your JupyterHub with the lab (it should be called Pandas-Part2)
4. Double click the new folder in the file explorer. You should see the lab contents.
5. Launch the Lab-Exercises.ipynb notebook. You can also launch Lab-Lesson.ipynb if you need a refresher on what the UTA went over in the skills lab.

If JupyterHub doesn't work for you

Use Binder!

Important: Binder does not always save your work. If you need to stop working on your lab for more than 30 minutes, you need to download your exercises notebook to you computer. Then, you can reupload it again later to continue your work.

Click here:

---

Completing the Lab

You can modify Lab-Exercises.ipynb. Add your own cells, but don't delete the original problems - this helps us match up your answers to each exercise and check that you did all of the work.

Submitting your lab

We will use Canvas to let you upload your labs.

1. First, if you used the SCI JupyterHub, Virtual Lab, or Binder, you're going to have to download the notebook to your computer.

   • On JupyterHub, right click on your exercise notebook on your file browser on the left
   • Click Download and save it somewhere

2. Then, go to Canvas to upload your lab.

   • In Canvas, click on our class
   • Go to Assignments
   • Click on the Skills Lab assignment for this week
   • Click Submit Assignment in the top right
   • Choose your Notebook file you saved/created/downloaded earlier (will end in .ipynb)
   • Hit Submit!

If you are confused, here is a tutorial on how to submit an assignment on Canvas.

Note: you can re-upload your lab as many times as you want before the deadline.