In today’s data-intensive world, processing speed can be a significant bottleneck in Python applications. While Python offers simplicity and versatility, its Global Interpreter Lock (GIL) can limit performance in CPU-bound tasks. This is where Python’s multiprocessing module shines, offering a robust solution to leverage multiple CPU cores and achieve true parallel execution. This comprehensive guide […]
Threading allows multiple threads of execution to run concurrently within a single program, enabling more efficient use of system resources and improved performance for I/O-bound and certain computational tasks. Basic Threading Concepts Thread Creation import threading import time # Basic thread definition def worker_function(name): “”” Simple thread function demonstrating basic execution Args: name (str): Identifier […]