Solutions for exercises in Python bootcamp

solutions.py

# List comprehension
x = [i for i in range(1, 21)]
y = [i ** 2 for i in x]
y = [i ** 2 for i in range(1, 21)]


# Median of a list of numbers
def median(x):
    x.sort()
    L = len(x)
    if L % 2 == 0:
        left = x[:(L/2)]
        right = x[(L/2):]
        med = (left + right) / 2
    else:
        med = x[(L - 1) / 2 + 1]
    return med



data = [{'name': "BYJU's", 'industry': 'e-tech', 'funding (USD)': 200000000},
        {'name': 'Flipkart', 'industry': 'e-commerce', 'funding (USD)': 2500000000},
        {'name': 'Shuttl', 'industry': 'transport', 'funding (USD)': 8048394}]

# Adding a column for location:
data[0]['location'] = 'Mumbai'
data[1]['location'] = 'Bangalore'
data[2]['location'] = 'Chennai'

# Adding a record for a new startup
data.append({{'name': 'PayTM', 'industry': 'fintech', 'funding (USD)': 42_000_000, 'location': 'Delhi'}})


# Maximum funding for a startup in a non-metro city
funding_non_metro = []
for record in data:
    if record['city'] not in METROS:
        funding_non_metro.append(record['funding'])
print(max(funding_non_metro))