Threads
Explore the concept of threads in Python to understand how concurrent execution can improve application responsiveness. Learn to define thread processing by extending the Thread class and managing shared data structures safely. This lesson helps you grasp how threads run independently yet share resources, simulating simultaneous task execution for efficient program design.
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A thread is a sequence of Python byte-code instructions that may be interrupted and resumed. The idea is to create separate, concurrent threads to allow computation to proceed while the program is waiting for I/O to happen.
Example
For example, a server can start processing a new network request while it waits for data from a previous request to arrive. Or an interactive program might render an animation or perform a calculation while waiting for the user to press a key. Bear in mind that while a person can type more than 500 characters per minute, a computer can perform billions of instructions per ...