Titel: Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visual
Verlag: Createspace Independent Publishing Platform
Erscheinungsjahr: 2016
Sprache: Englisch
ISBN-10: 153359824X
ISBN-13: 9781533598240
Einband: Paperback
Zustand: Very Good
Zustand des Schutzumschlags: No Jacket

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Inhaltsangabe

Python is one of the top 3 tools that Data Scientists use. One of the tools in their arsenal is the Pandas library. This tool is popular because it gives you so much functionality out of the box. In addition, you can use all the power of Python to make the hard stuff easy!

Learning the Pandas Library is designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. 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.

The Content Covers:

Installation
Data Structures
Series CRUD
Series Indexing
Series Methods
Series Plotting
Series Examples
DataFrame Methods
DataFrame Statistics
Grouping, Pivoting, and Reshaping
Dealing with Missing Data
Joining DataFrames
DataFrame Examples

Preliminary Reviews

This is an excellent introduction benefitting from clear writing and simple examples. The pandas documentation itself is large and sometimes assumes too much knowledge, in my opinion. Learning the Pandas Library bridges this gap for new users and even for those with some pandas experience such as me.

-Garry C.

I have finished reading Learning the Pandas Library and I liked it... very useful and helpful tips even for people who use pandas regularly.

-Tom Z.

Rese�a del editor

The Content Covers:

Installation
Data Structures
Series CRUD
Series Indexing
Series Methods
Series Plotting
Series Examples
DataFrame Methods
DataFrame Statistics
Grouping, Pivoting, and Reshaping
Dealing with Missing Data
Joining DataFrames
DataFrame Examples

Preliminary Reviews

-Garry C.

I have finished reading Learning the Pandas Library and I liked it... very useful and helpful tips even for people who use pandas regularly.

-Tom Z.

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