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Intermediate Python

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.

Use of the index function of the list to access the location of a value within the list

names = ['Albania', 'Syria', 'UK', 'Germany', 'Greece']
ind = names.index('Syria')
print(ind)

Explore Datasets

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

  • Create a loop that iterates through the brics DataFrame and prints "The population of {country} is {population} million!".
  • Create a histogram of the life expectancies for countries in Africa in the gapminder DataFrame. Make sure your plot has a title, axis labels, and has an appropriate number of bins.
  • Simulate 10 rolls of two six-sided dice. If the two dice add up to 7 or 11, print "A win!". If the two dice add up to 2, 3, or 12, print "A loss!". If the two dice add up to any other number, print "Roll again!".
#AND/OR/NOT OPERATIONS IN NUMPY AND PANDAS
data1 = []; data2 = []
data3 = np.logical_and(data1<10, data2>2)
np.logical_or(...)
np.logical_not(...)

Iterate in a dictionary and numpy array

import numpy as np
country_data = {'afganistan':27, 'kenya': 33, 'albania': 4}
for k, v in country_data.items():
    print(k, v)

item1 = np.array([[1, 3, 5, 7], [14, 22, 3, 8]])

for i in np.nditer(item1):
    
    print(i)