Python Tasks & ML | Задачи по питону и машинному обучению

from itertools import groupby

data = ['apple', 'apricot', 'banana', 'blueberry']
groups = [(k, list(g)) for k, g in groupby(data, key=lambda x: x[0])]
print(groups)

nums = [1, 2, 3, 4, 5]
gen = (x for x in map(lambda x: x * 2, nums) if x > 5)
print(list(gen))

items = ['a10', 'a2', 'b1', 'a1']
result = sorted(items, key=lambda x: (x[0], int(x[1:])))
print(result)

from functools import partial

f = partial((lambda x, y: x * y), 2)
print(f(5))

nums = [1, 2, 3, 4]
result = list(map(lambda x: x * 10, filter(lambda x: x % 2 == 0, nums)))
print(result)

from collections import defaultdict

d = defaultdict(lambda: "default")
d["x"] = 42
print(d["x"], d["y"])

from functools import reduce
nums = [1, 2, 3, 4]
result = reduce(lambda x, y: x + y, nums)
print(result)

nums = [0, 1, 2, 3, 4]
evens = list(filter(lambda x: x % 2 == 0, nums))
print(evens)

nums = [1, 2, 3]
result = list(map(lambda x: x * 2, nums))
print(result)

def sub():
    value = yield
    yield f"got: {value}"

def main():
    yield from sub()

g = main()
next(g)
print(g.send("hello"))