Samuel Ndungu/

Python Data Science Toolbox (Part 2)


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')
import csv
with open('row_lists.csv', 'r', newline='') as csvfile:
    reader = csv.reader(csvfile)
    row_lists = [row for row in reader]

Take Notes

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

Add your notes here

Run cancelled
# 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.