Threading is often considered to be a complex topic by developers. While this statement is totally true, Python provides high-level classes and functions that ease the usage of threading. CPython's implementation of threads comes with some inconvenient details that make them less useful than in other languages. They are still completely fine for some set problems that you may want to solve, but not for as many as in C or Java. In this section, we will discuss the limitations of multithreading in CPython, as well as the common concurrent problems where Python threads are a viable solution.
Thread is short for a thread of execution. A programmer can split his or her work into threads that run simultaneously and share the same memory context. Unless your code depends on third-party resources, multithreading will not speed it up on a single-core processor, and will even add some overhead for thread management. Multi-threading will benefit from a multiprocessor...