In this article, we’ll cover: What is the Global Interpreter Lock (GIL) Why Python has GIL Threading in Python Multithreading explained How GIL affects performance Why Python still supports multithreading 1️⃣ Global Interpreter Lock (GIL) The Global Interpreter Lock (GIL) is a mutex that allows only one thread to execute Python bytecode at a time. Even on multi-core systems, Python threads cannot execute Python bytecode truly in parallel within a single process. Why Does Python Have GIL? Python internally uses: Reference counting Automatic memory management Without GIL: Multiple threads could modify memory simultaneously Race conditions could occur Memory corruption could happen The GIL keeps CPython memory management thread-safe. Basic Example of GIL import threading counter = 0 def increment (): global counter for _ in range ( 1000000 ): counter += 1 thread1 = threading . Thread ( target = increment ) thread2 = threading . Thread ( target = increment ) thread1 . start () thread2 . start () thread1 .…