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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.

Add your notes here

list1=['imen','hamza','bilel']
word_enumerate=enumerate(list1)
e=list(word_enumerate)
print(e)
word="Imen"
w=iter(word)
next(w)

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.

word="Imen" w=iter(word) next(w) we can use tuple off list with zip (list1 =['Nom'],list2=['prenom']) use l=zip(list1,list2) result of print(l )===>[('Nom','Prenom')]