This chapter delves into the recent advancements in Python's performance, particularly for data science applications. It highlights essential tools and techniques for optimizing performance, as well as insights from a returning guest on the interplay between Python and other programming languages.
Python performance has come a long way in recent times. And it's often the data scientists, with their computational algorithms and large quantities of data, who care the most about this form of performance. It's great to have Stan Seibert back on the show to talk about Python's performance for data scientists. We cover a wide range of tools and techniques that will be valuable for many Python developers and data scientists.
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