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D-Lab's 3-part, 6 hour introduction to Python. Learn how to create variables, distinguish data types, use methods, and work with Pandas, using Python and Jupyter.

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I think this line of code might not work: From Readme: Optional: if you're familiar with git, you can instead clone this repository by opening a terminal and entering git...

Towards the end of Python fundamentals Day 2, some participants did not have pandas installed. Should we include pandas installation guideline somewhere in the workshop?

make that change in the demos section

Change: Next, we will select only the rows in our data where the **country** is Europe, and assign those to a new variable. to **continent**

Hi! I think it would be helpful if we could add pictures about what the different environments look like at the very beginning of the notebook. People opening it up...

The D-Lab-specific Hub presents users with a personal file space that is separate & distinct from the general DataHub personal file space, so the "return to your saved work" link...

Add resources for further learning about classes, how to create them and custom methods; mention if other workshops discuss this

Could we add a tip about file paths that might be more complicated than going up a folder and then into the right one?