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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.

``````# Add your code snippets here
gapminder
#brics

#To use these operators with NumPy, you will need np.logical_and(), np.logical_or() and np.logical_not(). ``````

### 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!".