Multithreading in Python allows concurrent execution of tasks using the threading module. It is ideal for I/O-bound tasks (e.g., file operations, network requests) but less effective for CPU-bound tasks due to the Global Interpreter Lock (GIL). Threads share the same memory space, so synchronization mechanisms like locks are often needed to avoid conflicts. Use the start() method to run threads and join() to wait for their completion.