Mastering Large Datasets with Python: Parallelize and Distribute Your Python Code by John T. Wolohan
English | 2019 | ISBN: 1617296236 | 350 Pages | PDF,EPUB,MOBI | 30 MB
Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, 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.
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