优化Python脚本在Linux上的执行效率

# 使用set进行快速查找
my_list = [1, 2, 3, 4, 5]
my_set = set(my_list)
if 3 in my_set:
    print("存在")

# 使用字典进行快速查找
my_dict = {'a': 1, 'b': 2, 'c': 3}
if 'a' in my_dict:
    print("存在")

# 使用快速排序进行排序
my_list = [5, 3, 1, 4, 2]
sorted_list = sorted(my_list)
print(sorted_list)

# 使用多线程并行计算
import threading

def print_square(num):
    print(num * num)

threads = []
for i in range(5):
    t = threading.Thread(target=print_square, args=(i,))
    threads.append(t)
    t.start()
for t in threads:
    t.join()

# 使用multiprocessing进行并行计算
import multiprocessing

def print_square(num):
    print(num * num)

if __name__ == '__main__':
    pool = multiprocessing.Pool(processes=4)
    pool.map(print_square, range(5))
    pool.close()
    pool.join()

# 使用PyPy进行JIT编译执行
$ pypy script.py