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Intermediate Python
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  • Intermediate Python

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

    # Import the course packages
    import numpy as np
    import pandas as pd
    import matplotlib.pyplot as plt
    
    # Import the two datasets
    gapminder = pd.read_csv("datasets/gapminder.csv")
    brics = pd.read_csv("datasets/brics.csv")

    Take Notes

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

    Noting my struggles with the correct formatting of indexes and dictionaries:

    # Definition of countries and capital
    countries = ['spain', 'france', 'germany', 'norway']
    capitals = ['madrid', 'paris', 'berlin', 'oslo']
    
    # Get index of 'germany': ind_ger
    ind_ger = countries.index('germany')
    
    # Use ind_ger to print out capital of Germany
    print(capitals[ind_ger])
    
    

    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!".