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Python Data Science Toolbox (Part 2)

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

# Import the course packages
import pandas as pd
import matplotlib.pyplot as plt

# Import the course datasets 
world_ind = pd.read_csv('datasets/world_ind_pop_data.csv')
tweets = pd.read_csv('datasets/tweets.csv')

Take Notes

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

List of tuples unpacking

mutants = ('charles xavier',
     'bobby drake',
     'kurt wagner',
     'max eisenhardt',
     'kitty pryde')

powers = ('telepathy',
     'thermokinesis',
     'teleportation',
     'magnetokinesis',
     'intangibility')
z1 = zip(mutants, powers)
tup1, tup2 = zip(*z1)
tup1

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.