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In this article, I will introduce some handful Python data science program optimization tips. I will try to cover the most commonly seen scenarios in data science projects. Specially, although the rapid evolution of data science toolkit brought promising program performance to developers, there are still many hidden rabbit holes that may causes significant performance issues. This article will also provide insights and examples for helping you avoid making such mistakes in your program.

this is a abstract