Comparative Analysis of Asynchronous and Multithreaded Programming Methods in Python for Big Data Processing

This paper presents a comparative analysis of asynchronous and multithreaded programming methods in Python aimed at optimizing big data processing. The main concepts, architectural features, and practical implementation aspects using Python’s standard libraries (asyncio, threading) and additional tools (concurrent.futures) are examined. An experimental performance analysis on typical data processing tasks is provided, highlighting the advantages and drawbacks of each approach and offering recommendations for optimal application depending on the task type.