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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.

    Add your notes here

    # 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 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!".
    Current Type: Bar
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