Thinking in Pandas

Name: Thinking in Pandas
Brand: APress
SKU: 9781484258385
Price: 31.02 EUR
Availability: InStock

How to Use the Python Data Analysis Library the Right Way

Autor: Hannah Stepanek

Jazyk:

Väzba: Brožovaná

Vydavateľ: APress

Dostupnosť: Skladom u dodávateľa

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31.02 €

Understand and implement big data analysis solutions in pandas with an emphasis on performance. This...

Informácie o knihe

Autor

Hannah Stepanek

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2020

Stránok

186

EAN

9781484258385

Enbook ID

25824806

Vydavateľ

APress

Hmotnosť

320

Rozmery

234 x 156 x 19

Kompletný popis

Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, how to work with multi-level DataFrames, and how pandas might be improved upon in the future are also covered. By the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas-the right way. What You Will Learn Understand the underlying data structure of pandas and why it performs the way it does under certain circumstances Discover how to use pandas to extract, transform, and load data correctly with an emphasis on performance Choose the right data frame so that the data analysis is simple and efficient. Improve performance of pandas operations with other Python libraries Who This Book Is For Software engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data

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Thinking in Pandas

How to Use the Python Data Analysis Library the Right Way

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