Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition

Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition book cover

Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition

Author(s): Wes Mckinney (Author)

  • Publisher: O'Reilly Media
  • Publication Date: 26 Aug. 2022
  • Edition: 3rd
  • Language: English
  • Print length: 550 pages
  • ISBN-10: 109810403X
  • ISBN-13: 9781098104030

Book Description

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, and Jupyter in the process. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing.

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About the Author

Wes McKinney is an open source software developer focusing on data analysis tools. He created the Python pandas project and is a co-creator of Apache Arrow, his current development focus. He authored 2 editions of the reference book Python for Data Analysis. Wes is a Member of The Apache Software Foundation and also a PMC member for Apache Parquet. He is the director of Ursa Labs, an not-for-profit development group focused on data science tools for Python and R powered by Apache Arrow, built in partnership with RStudio. Previously, he worked for Two Sigma, Cloudera, and AQR Capital Management, and he was co-founder and CEO of the startup DataPad.

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