Python For Loops:用原始值替换cat代码时优化代码速度

for variable in iterable:
    # 执行语句

# 不优化
for i in range(1000000):
    result = some_complex_function(i)

# 优化
results = [some_complex_function(i) for i in range(1000000)]

# 不优化
squares = []
for x in range(10):
    squares.append(x**2)

# 优化
squares = [x**2 for x in range(10)]

# 不优化
squares = [x**2 for x in range(1000000)]

# 优化
squares = (x**2 for x in range(1000000))

# 不优化
for i in range(len(lst)):
    if lst[i] % 2 == 0:
        lst.pop(i)

# 优化
lst = [x for x in lst if x % 2 != 0]

# 不优化
total = 0
for num in numbers:
    total += num

# 优化
total = sum(numbers)

# 原始代码
data = [1, 2, 3, ..., 1000000]
result = []
for num in data:
    if num % 2 == 0:
        result.append(num * 2)

# 优化后的代码
result = [num * 2 for num in data if num % 2 == 0]