Pandas 1.x Cookbook
(eBook)

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Published
Packt Publishing, 2020.
Format
eBook
ISBN
9781839218910
Status
Available Online

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Language
English

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Citations

APA Citation, 7th Edition (style guide)

Matt Harrison., Matt Harrison|AUTHOR., & Theodore Petrou|AUTHOR. (2020). Pandas 1.x Cookbook . Packt Publishing.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Matt Harrison, Matt Harrison|AUTHOR and Theodore Petrou|AUTHOR. 2020. Pandas 1.x Cookbook. Packt Publishing.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Matt Harrison, Matt Harrison|AUTHOR and Theodore Petrou|AUTHOR. Pandas 1.x Cookbook Packt Publishing, 2020.

MLA Citation, 9th Edition (style guide)

Matt Harrison, Matt Harrison|AUTHOR, and Theodore Petrou|AUTHOR. Pandas 1.x Cookbook Packt Publishing, 2020.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDb6bd2fa5-3efb-289c-9d1f-abc488e704ac-eng
Full titlepandas 1 x cookbook
Authorharrison matt
Grouping Categorybook
Last Update2024-05-31 18:07:01PM
Last Indexed2024-06-26 04:39:14AM

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    [synopsis] => Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x.
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 as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.
This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. 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. Many advanced recipes combine several different features across the pandas library to generate results.
This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.
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