Python Tip:

itertools.dropwhile skips elements of the sequence, until the condition returns True, and then returns the rest, starting from the first, for which the condition became False

Note: no element will be returned until the predicate returns False at least once

Example:

>>> import itertools
>>> purchase_price = 99.00
>>> daily_prices = [95, 97, 94, 96, 100, 102, 99]
>>> prices_after_gain = list(itertools.dropwhile(lambda price: price <= purchase_price, daily_prices))
prices_after_gain
[100, 102, 99]


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Python Tip:

Concatenating strings with += in a loop has a complexity of O(n²), because a new string is created with each addition.
Use join() — it gives O(n).

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A generator in Python is a function that returns an iterator object instead of a single result.

It differs from regular functions in that it uses the yield keyword instead of return. Each call to next(generator) produces the next value from the sequence.

Example:

def multiple_generator(x, n):
    for i in range(1, n + 1):
        yield x * i

multiples_of_5 = multiple_generator(5, 3)

print(next(multiples_of_5))  # 5
print(next(multiples_of_5))  # 10
print(next(multiples_of_5))  # 15

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