Welcome to the case study!

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Hugo Bowne-Anderson

Data Scientist at DataCamp

World bank data

Data on world economies for over half a century
Indicators
- Population
- Electricity consumption
- CO2 emissions
- Literacy rates
- Unemployment
- Mortality rates

Using zip()

avengers = ['hawkeye', 'iron man', 'thor', 'quicksilver']
names = ['barton', 'stark', 'odinson', 'maximoff']

z = zip(avengers, names)

print(type(z))

<class 'zip'>

print(list(z))

[('hawkeye', 'barton'), ('iron man', 'stark'), 
('thor', 'odinson'), ('quicksilver', 'maximoff')]

Defining a function

raise.py

def raise_both(value1, value2):
    """Raise value1 to the power of value2
    and vice versa."""
    new_value1 = value1 ** value2
    new_value2 = value2 ** value1
    new_tuple = (new_value1, new_value2)
    return new_tuple

Re-cap: list comprehensions

Basic

[output expression for iterator variable in iterable]

Advanced

[output expression + 
conditional on output for iterator variable in iterable +
conditional on iterable]

Let's practice!

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