پایتون | Data Science | Machine Learning

a, b = 5, 10
a, b = b, a

result = "Even" if x % 2 == 0 else "Odd"

squares = [x**2 for x in range(10)]
evens = [x for x in range(10) if x % 2 == 0]

unique = {x for x in [1,2,2,3]}        # remove duplicates
squares = {x: x**2 for x in range(5)}  # dict comprehension

from collections import Counter
most_common = Counter(['a','b','a','c']).most_common(1)[0][0]

a = {'x': 1}
b = {'y': 2}
merged = a | b

def stats(x):
    return max(x), min(x), sum(x)

high, low, total = stats([1, 2, 3])

names = ['a', 'b']
scores = [90, 85]

for n, s in zip(names, scores):
    print(f"{n}: {s}")

nested = [[1,2], [3,4]]
flat = [item for sublist in nested for item in sublist]

from collections import defaultdict
d = defaultdict(int)
d['apple'] += 1   # no KeyError

square = lambda x: x**2
print(square(4))

for i, v in enumerate(['a', 'b', 'c']):
    print(i, v)

d = {'a': 3, 'b': 1, 'c': 2}
sorted_by_val = sorted(d.items(), key=lambda x: x[1])

with open('file.txt') as f:
    lines = f.read().splitlines()

def add(x: int, y: int) -> int:
    return x + y