From Mastering Large Datasets by John T. Wolohan

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Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally-influenced approach to Python coding. You’ll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as distributed technologies that allow for high data throughput. The abundant hands-on exercises in this practical tutorial will lock in these essential skills for any large scale data science project.