Python-Fundamentals-Legacy
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dlab-berkeley
D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.
Just like #11 for Windows, it would be helpful to provide Linux guidance on whether to accept the defaults or not. 
I got the following error trying to pull up the repo in datahub: 
Under the "Boolean Data Type": "Predi**c**t the outcomes for the examples below:"
For Notebook 11 (Libraries) consider re-ordering the package installation to emphasize options 2/3 over option 1. Also, include `conda` rather than `pip` for terminal installation.
Merge the function and custom function notebooks together into one functions notebook, since they cover a lot of the same topics.
In the "About D-Lab" section: "and space to enable you to use R for your own research applications" - might want to change to use Python for this workshop?
We should update the button to point to the D-Lab DataHub.
kernal was dying for me and a couple of other participants on datahub. I wasn't hitting up against memory and I was sure to shutdown notebooks as I moved along....
Under 'basic types in python', fitness should be a string, not a variable Current: ``` # Subtraction with strings print(fitness - 'a') ``` Corrected: ``` # Subtraction with strings print('fitness'...
In this challenge in the dropna(subset = 'sex') line, include [] around the column name
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D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.