Mastering Large Datasets with Python – Sách IT

 

Author: John T. Wolohan | ISBN-10: 1617296236 | Year: 2020 | Pages: 350 | Language: English | File size: 19.3 MB
Book Description:
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.

What You’ll Learn

  • Chunk large problems into small pieces
  • Use the map and reduce functiosn
  • Run programs in parallel on your personal computer
  • Run programs in parallel in distributed cloud environments

Who This Book Is For:

Developer or data scientist who knows enough to have gotten themselves into a situation where they’re facing a problem caused by having to much data.

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