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Daniel Y. Chen

Pandas for Everyone

Python Data Analysis

Ebook (PDF Format)

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen… Mehr

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Produktdetails


  • ISBN: 978-0-13-454706-0
  • EAN: 9780134547060
  • Produktnummer: 31711804
  • Verlag: Pearson ITP
  • Sprache: Englisch
  • Erscheinungsjahr: 2017
  • Seitenangabe: 416 S.
  • Plattform: PDF
  • Auflage: 1. Auflage

Über den Autor


Daniel Chen is a graduate student in the interdisciplinary PhD program in Genetics, Bioinformatics & Computational Biology (GBCB) at Virginia Tech. He is involved with Software Carpentry as an instructor and lesson maintainer. He completed his master's degree in public health at Columbia University Mailman School of Public Health in Epidemiology, and currently works at the Social and Decision Analytics Laboratory under the Biocomplexity Institute of Virginia Tech where he is working with data to inform policy decision-making. He is the author of Pandas for Everyone and Pandas Data Analysis with Python Fundamentals LiveLessons.

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