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#474: Python Performance for Data Science

Talk Python To Me

CHAPTER

Navigating Python's GIL Challenges

This chapter explores the evolution of parallel computing in Python, focusing on the Global Interpreter Lock (GIL) and its impact on multi-threading performance. It discusses the historical context of GIL, challenges faced by developers, and potential advancements like PyScript and Pyodide that could enhance concurrency. The conversation highlights the trade-offs between improving multi-threading capabilities and maintaining compatibility with existing libraries, reflecting on the cultural attitudes surrounding threading in Python.

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