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Python in the multi-process and multi-threaded meaning, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain in detail for you, people with this need can come to learn, I hope you can gain something.

The concept of multiprocess and multithreading

Concurrent programming is to enable programs to perform multiple tasks at the same time, but how to achieve concurrent programming? this involves the two concepts of process and thread.

For the operating system, a task (or program) is a Process. For example, opening a browser opens a browser process, opening Wechat starts a Wechat process, and opening two notepads starts two notepad processes.

The characteristics of the process are:

The operating system allocates storage space per process, and each process has its own address space, data stack, and other auxiliary data used to track the execution of the process.

Processes can create new processes through fork or spawn to perform other tasks

All processes have their own independent memory space, so processes need to share data through inter-process communication mechanism (IPC,Inter-ProcessCommunication), including pipes, signals, sockets, shared memory areas, etc.

A process can also do many things at the same time, such as typing, pinyin checking, printing and other things at the same time in Word, that is, a task is divided into multiple subtasks at the same time, and these subtasks in the process are called Thread.

Because each process needs to accomplish at least one thing, that is, a process has at least one thread. When it comes to concurrent programming, that is, multitasking, there are three solutions:

Multiple processes, each process has only one thread, but multiple processes perform multiple tasks together

Multithreading, starting only one process, but opening multiple threads within a process

Multi-process and multi-thread, that is, start multiple processes, and each process starts multiple threads, but this method is very complex and rarely used in practice.

Note: true parallel execution of multitasking can only be implemented on multi-core CPU. In a single-core CPU system, true concurrency is impossible, because at some point there is only one thread that can get CPU, and multiple threads share the execution time of CPU.

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