看起来像（尽管您不明确地告诉你）你正在以一种完全独立的方式运行你的程序：两种不同的Python解释器调用。

没有你希望存在的那种魔法：就好像你有两个运行相同程序的实例一样，每个实例都有它的变量实例（全局的或者以其他方式）。

如果您正在执行一些简单的任务，则更简单的方法是为每个进程输出一个文本文件作为输出，另一个进程尝试从它想要知道的每个进程生成的文件中读取信息 - （甚至可以在Unix中使用命名管道）。

另一种方法是创建一个Python脚本使用 multiprocessing stdlib模块来协调守护进程的启动，然后创建一个multiprocessing.Manager对象以在进程之间直接共享变量。
首先设置起来可能会更复杂，但这是干净的事情。请在此查看Manager类的文档：
https：//docs.python。 org / 3 / library / multiprocessing.html

I have 2 daemons, which should access the same Variable. I've created a 3rd file for global variables and each daemon can access the variable. But when one changes the variable the other one still sees the default value.

example:

glob.py

time = 0

daemon a:

import datetime
import time
import glob

while(True):
    glob.time = datetime.datetime.now()
    time.sleep(30)

daemon b:

import glob

while(True):
    print(glob.time)

it would print 0 everytime I hope I've made my problem clear, and someone can help me. If you need some more information please feel free to ask.

It looks like (although you don't tell explicitly that) you are running your programs in a completely independent way: two different invocations of the Python interpreter.

There is no such magic as you are hoping would exist: just as if you have two instances of the same program running, each one will have its instance of variables (global or otherwise).

If you are performing some simple task, the easier way to go is to have one text file as output for each process, and the other process trying to read information from the file generated by each process it wants to know about - (you could even use named pipes in Unixes).

The other way is to have a Python script to coordinate the starting of your daemons using the multiprocessing stdlib module, and then create a multiprocessing.Manager object to share variables directly between process. This can be more complicated to set up at first, but it is the clean thing to do. Check the docs on the Manager class here: https://docs.python.org/3/library/multiprocessing.html