Learning the Pandas Library
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Learning the Pandas Library

Python Tools for Data Munging, Analysis, and Visualization

About the Book

Learning the Pandas Library is designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. It covers the latest version of Pandas. It starts with the fundamentals of the data structures. Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples. 

About the Author

Matt Harrison
Matt Harrison

Matt Harrison has been using Python since 2000.

He runs MetaSnake, a Python and Data Science consultancy and corporate training shop.  In the past, he has worked across the domains

of search, build management and testing, business intelligence and

storage.

He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE,

PyCON and OSCON as well as local user conferences. The structure and

content of this book is based off of first hand experience teaching

Python to many individuals.

He blogs at hairysun.com and occasionally tweets useful Python

related information at @__mharrison__.

Table of Contents

  •  
    • Introduction
    • Installation
    • Data Structures
    • Series
    • Series CRUD
    • Series Indexing
    • Series Methods
    • Series Plotting
    • Another Series Example
    • DataFrames
    • Data Frame Example
    • Data Frame Methods
    • Data Frame Statistics
    • Grouping, Pivoting, and Reshaping
    • Dealing With Missing Data
    • Joining Data Frames
    • Avalanche Analysis and Plotting
  • Notes

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