The PMOTW Threading module lets you run multiple operations concurrently in the same process space.
PMOT w线程模块允许您在相同的进程空间中并发地执行多项操作。
This example has a bit more code to explain, but it isn't that much more complicated than the first threading example, thanks to the use of the queuing module.
对于这个示例，有更多的代码需要说明，但与第一个线程示例相比，它并没有复杂多少，这正是因为使用了队列模块。
The threading module was designed with inheritance in mind, and was actually built on top of a lower-level thread module.
在设计线程模块时考虑到了继承，并且线程模块实际上是建立在底层线程模块的基础之上的。
Fortunately, due to both the GIL and the queuing module, threading in Python is much less complex to implement than in other languages.
幸运的是，由于GIL和队列模块，与采用其他的语言相比，采用Python语言在线程实现的复杂性上要低得多。
The threading module does provide many synchronization primatives, including semaphores, condition variables, events, and locks.
线程模块提供了许多同步原语，包括信号量、条件变量、事件和锁。
To that end, the threading module provides a number of synchronization primitives including locks, events, condition variables, and semaphores.
为了达到那个目的，线程模块提供了许多同步化的原生支持，包括：锁，事件，条件变量和信号灯。
To that end, the threading module provides a number of synchronization primitives including locks, events, condition variables, and semaphores.
为了达到那个目的，线程模块提供了许多同步化的原生支持，包括：锁，事件，条件变量和信号灯。
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