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Intermediate Python

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

1 hidden cell

Take Notes

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

Import numpy as np

import numpy as np

Store pop as a numpy array: np_pop

np_pop=np.array(pop)

Double np_pop

np_pop=np_pop*2

Update: set s argument to np_pop

plt.scatter(gdp_cap, life_exp, s=np_pop)

Previous customizations

plt.xscale('log') plt.xlabel('GDP per Capita [in USD]') plt.ylabel('Life Expectancy [in years]') plt.title('World Development in 2007') plt.xticks([1000, 10000, 100000],['1k', '10k', '100k'])

Display the plot

plt.show()

List = indexed by range of numbers Dictionary = indexed by keys

Print out the capital of France

print(europe['france']['capital'])

# 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!".