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Popularité

La popularité est une évaluation communautaire de chaque livre calculée sur une échelle de 0 à 100.

Cette évaluation repose sur une agrégation de diverses quantités qui reflètent la vie de chaque livre au sein de la communauté des lecteurs. Cette vie s'exprime en fréquence de lecture, nombre d'étagères publiques et privées dans lesquelles le livre est présent.

Un calcul 'propriétaire' mélangeant ces quantités restitue sous la forme synthétique d'un score l'aura collective du livre.

Close As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computerlanguages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available.

FEATURES:

Dealing With Data Pocket Primer

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As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computerlanguages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistica

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Auteur(s): Campesato, Oswald

Editeur: Mercury Learning and Information

Collection: Pocket Primer

Année de Publication: 2022

pages: 246

Langue: lang_en

ISBN: 978-1-68392-820-1

eISBN: 978-1-68392-819-5

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computerlanguages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistica
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computerlanguages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available.

FEATURES:
  • Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization
  • Introduces probability and statistical concepts
  • Features numerous code samples throughout
  • Includes companion files with source code and figures

Voir toute la description...