Multiprocessing on Ghafoor's Personal Blog

Using Threads to Improve Performance

noreply@example.com (AG Sayyed) — Wed, 12 Nov 2025 22:17:40 +0000

This document provides a hands-on guide to implementing threading and multiprocessing in Python for performance optimization. Through a real-world image thumbnail generation scenario, it demonstrates converting sequential processing to parallel execution using ThreadPoolExecutor and ProcessPoolExecutor, measuring performance improvements, and understanding the differences between threads and processes in Python's execution model.

The Business Problem: E-Commerce Image Rebranding

The Scenario

A company has an e-commerce website that includes numerous images of products that are available for sale. An upcoming rebranding effort requires that all of these images be replaced with new ones.

Concurrency and Parallelism in Python

noreply@example.com (AG Sayyed) — Tue, 11 Nov 2025 23:18:28 +0000

This document examines concurrency and parallelism as fundamental techniques for optimizing Python applications. It distinguishes between concurrency for I/O-bound tasks using threading and asyncio, parallelism for CPU-bound tasks using multiprocessing, and strategies for combining both approaches to create high-performance applications that efficiently manage both computational workloads and external resource dependencies.

Understanding Concurrency and Parallelism

Defining Concurrency

In Python, concurrency can be used to allow multiple tasks to make progress at the same time, even if they don’t actually run simultaneously. This is useful when optimizing how tasks are scheduled and resources are used, especially for I/O-bound tasks.

Using Threads to Improve Performance

noreply@example.com (AG Sayyed) — Tue, 11 Nov 2025 22:17:40 +0000

The Business Problem: E-Commerce Image Rebranding

The Scenario

A company has an e-commerce website that includes numerous images of products that are available for sale. An upcoming rebranding effort requires that all of these images be replaced with new ones.