Python 在迭代大型列表时速度很慢

# 优化Python迭代大型列表的效率

python
# 传统列表推导
large_list = [i for i in range(1000000)]
# 生成器表达式
generator_expr = (i for i in range(1000000))
# 使用生成器表达式进行迭代
for item in generator_expr:
    # 处理每个元素
    pass

python
# 将大型列表分成大小为chunk_size的块
def chunks(lst, chunk_size):
    for i in range(0, len(lst), chunk_size):
        yield lst[i:i + chunk_size]
large_list = [i for i in range(1000000)]
chunk_size = 1000
# 分块迭代
for chunk in chunks(large_list, chunk_size):
    for item in chunk:
        # 处理每个元素
        pass

python
import numpy as np
large_array = np.array(range(1000000))
# 使用NumPy进行迭代
for item in large_array:
    # 处理每个元素
    pass