Python小姿势 - This article will introduce the basic concepts of multithreading in Python.

This article will introduce the basic concepts of multithreading in Python.

Multithreading is a type of parallelism, which allows multiple threads to run concurrently within a single process. A process can have multiple threads running at the same time.

Python's standard library provides a module called threading, which implements a number of object-oriented high-level interfaces to the lower-level thread module. With these interfaces, you can create and manage threads.

The Thread class represents a thread of execution. A thread has a name. It also has an identifier, which is a positive integer.

A thread can be in one of the following states:

• Running: The thread is executing its code.
• Ready: The thread is not running, but it is ready to run as soon as it gets a turn.
• Blocked: The thread is not running, and it is not ready to run. A thread is usually blocked when it is waiting for a resource that is not available.

A thread can be in only one state at a time.

When a thread is created, it is in the Ready state. When the thread gets a turn, it will start to run. When the thread is blocked, it will not run until it is unblocked.

A thread can be unblocked in the following ways:

• The thread can be unblocked by another thread.
• The thread can unblock itself.

A thread can block itself in the following ways:

• The thread can block itself by calling a blocking function.
• The thread can block itself by waiting for a resource that is not available.

A thread can be in only one state at a time.