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Okładka: Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Autor: Theodore Petrou, Kuntal Ganguly

Helionebook

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Kategorie
Pandas, Python, Python w danych
Wydawca
Packt Publishing
Rodzaj
ebook
Stron
532
Data wydania
2017-10-23
ISBN
9781784393342
Tytuł oryginału
Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
Formaty
PDF (26,1MB) · ePub (28,1MB) · Mobi (67,8MB)

Opis

This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way.

The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.

Many advanced recipes combine several different features across the pandas 0.20 library to generate results.

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