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Data wrangling with Python : tips and tools to make your life easier /

"How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Kazil, Jacqueline (Author), Jarmul, Katharine (Author)
Format: Electronic eBook
Language:Inglés
Published: Sebastopol, CA : O'Reilly Media, [2016]
Edition:First edition.
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Introduction to Python
  • Python basics
  • Data meant to be read by machines
  • Working with Excel files
  • PDFs and problem solving in Python
  • Acquiring and storing data
  • Data cleanup: investigation, matching, and formatting
  • Data cleanup: standardizing and scripting
  • Data exploration and analysis
  • Presenting your data
  • Web scraping: acquiring and storing data from the web
  • Advanced web scraping: screen scrapers and spiders
  • APIs
  • Automation and scaling
  • Conclusion.