Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

Wes McKinney Python for Data Analysis Reviews Summary

Ratings Breakdown

Rated 4.5 by 360 people

Pros from Reviews

  • Extensive coverage
  • Hands-on learning
  • Great examples
  • Easy to read
  • Well organized
  • Comprehensive reference
  • Engaging practical examples
  • Suitable for all skill levels

Cons from Reviews

  • Lacks detailed explanations
  • Physical book quality issues
  • Not beginner-friendly for all

Notable Features

Data Manipulation
Python Libraries
Updated Content
Practical Guide
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