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Intermediate Python

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

1 hidden cell

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# Add your code snippets here
for index, row  in brics.iterrows():
    print(f"The population of {row['country']} is {row['population']} million!")
plt.hist(gapminder['life_exp'], bins = 5)
plt.xlabel('Year of life expectancy')
plt.ylabel('Quantity')
plt.title('Hisogram of life expectacy')
plt.show()
#for roll in range(10):
#    dice1 = np.random.randint(1,10)
for i in range(10):
    dice= [np.random.randint(1,6), np.random.randint(1,6)]
    result = dice[0] + dice[1]
    if (result == 7) or (result == 11):
        print(' A win')
    elif (result == 2) or (result == 3) or (result == 3):
        print(' A loss')
    else:
        print('Roll Again')

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!".