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Python Data Science Toolbox (Part 2)

Run the hidden code cell below to import the data used in this course.

1 hidden cell

Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

To create the list of lists, you simply have to supply the list comprehension as the output expression of the overall list comprehension:

[[output expression] for iterator variable in iterable]

Note that here, the output expression is itself a list comprehension.

Add your notes here

# Add your code snippets here

Explore Datasets

Use the DataFrames imported in the first cell to explore the data and practice your skills!

  • Create a zip object containing the CountryName and CountryCode columns in world_ind. Unpack the resulting zip object and print the tuple values.
  • Use a list comprehension to extract the first 25 characters of the text column of the tweets DataFrame provided that the tweet is not a retweet (i.e., starts with "RT").
  • Create an iterable reader object so that you can use next() to read datasets/world_ind_pop_data.csv in chunks of 20.