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

```.mfe-app-workspace-11z5vno{font-family:JetBrainsMonoNL,Menlo,Monaco,'Courier New',monospace;font-size:13px;line-height:20px;}```# Import the course packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Import the two datasets

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!".