ctrl+c：终端进程
ctrl+z:挂起进程
jobs：查看挂起的进程, 比如下图2个进程都被挂起了
[1] - suspended python compare_thread_sequence.py
[2] + suspended python3 compare_thread_sequence.py
fg %N: 让挂起的进程在前台继续运行，N是jobs前面显示的编号
bg %N: 让挂起的进程在后台继续运行
举个例子：
compare_thread_sequence.py是个python脚本
"""python3与python2有不同的结果，python2sequence几乎是双线程速度的2倍。
python3两者速度就差不多了，但是python3做了个折中，sequence速度比python2慢，多线程比python2快"""
from threading import Thread
import time
def count(n):
while n > 0:
n -= 1
start = time.time()
count(100000000)
count(100000000)
end = time.time()
print(end-start)
start = time.time()
t1 = Thread(target=count,args=(100000000,))
t1.start()
t2 = Thread(target=count,args=(100000000,))
t2.start()
t1.join()
t2.join()
end = time.time()
print(end-start)
➜ python2_test python compare_thread_sequence.py
^Z
[1] + 19277 suspended python compare_thread_sequence.py
➜ python2_test python3 compare_thread_sequence.py
^Z
[2] + 19287 suspended python3 compare_thread_sequence.py
➜ python2_test jobs
[1] - suspended python compare_thread_sequence.py
[2] + suspended python3 compare_thread_sequence.py
➜ python2_test bg %1
[1] - 19277 continued python compare_thread_sequence.py
➜ python2_test jobs
[1] - running python compare_thread_sequence.py
[2] + suspended python3 compare_thread_sequence.py
➜ python2_test 34.6158938408
16.4271929264
[1] - 19277 done python compare_thread_sequence.py
➜ python2_test jobs
[2] + suspended python3 compare_thread_sequence.py
➜ python2_test bg
[2] + 19287 continued python3 compare_thread_sequence.py
➜ python2_test jobs
[2] + running python3 compare_thread_sequence.py
➜ python2_test 61.20273995399475
13.181246995925903
[2] + 19287 done python3 compare_thread_sequence.py
