In the Introduction to Pandas lesson, we learned about the two main data structures in Pandas (Series and DataFrames), how to work with them, how to obtain them from other data structures, and how to perform basic calculations with them.
The goal of this lab is to help you practice the concepts you learned in the lesson and provide you with some hands-on experience working with Pandas.
In this lab you will be working on pandas_1.ipynb. To launch it, first navigate to the directory that contains pandas_1.ipynb in Terminal, then execute jupyter notebook. In the webpage that is automatically opened, click the pandas_1.ipynb link to launch it.
When you are on pandas_1.ipynb, read the instructions for each cell and provide your answers. Make sure to test your answers in each cell and save. Jupyter Notebook should automatically save your work progress. But it's a good idea to periodically save your work manually just in case.
pandas_1.ipynbwith your responses to each of the exercises.
Upon completion, add your deliverables to git. Then commit git and push your branch to the remote.