BookShared
  • MEMBER AREA    
  • Data Analysis with Python and PySpark

    (By Jonathan Rioux)

    Book Cover Watermark PDF Icon Read Ebook
    ×
    Size 25 MB (25,084 KB)
    Format PDF
    Downloaded 640 times
    Last checked 12 Hour ago!
    Author Jonathan Rioux
    “Book Descriptions: Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Hadoop-based clusters to Excel worksheets. You’ll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. By the time you’re done, you’ll be able to write and run incredibly fast PySpark programs that are scalable, efficient to operate, and easy to debug.”

    Google Drive Logo DRIVE
    Book 1

    The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win

    ★★★★★

    Gene Kim

    Book 1

    Data Pipelines with Apache Airflow

    ★★★★★

    Bas P. Harenslak

    Book 1

    The Culture Code: The Secrets of Highly Successful Groups

    ★★★★★

    Daniel Coyle

    Book 1

    Storytelling with Data: A Data Visualization Guide for Business Professionals

    ★★★★★

    Cole Nussbaumer Knaflic

    Book 1

    Fear and Loathing in Las Vegas

    ★★★★★

    Hunter S. Thompson

    Book 1

    Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark

    ★★★★★

    Akash Tandon

    Book 1

    Tidy First?: A Personal Exercise in Empirical Software Design

    ★★★★★

    Kent Beck

    Book 1

    Robust Python: Write Clean and Maintainable Code

    ★★★★★

    Patrick Viafore

    Book 1

    The Prophet

    ★★★★★

    Kahlil Gibran

    Book 1

    "Surely You're Joking, Mr. Feynman!": Adventures of a Curious Character

    ★★★★★

    Richard P. Feynman

    Book 1

    A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing

    ★★★★★

    Burton G. Malkiel

    Book 1

    No Rules Rules: Netflix and the Culture of Reinvention

    ★★★★★

    Reed Hastings

    Book 1

    Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

    ★★★★★

    Chip Huyen

    Book 1

    How to Fail at Almost Everything and Still Win Big: Kind of the Story of My Life

    ★★★★★

    Scott Adams