Data science fundamentals : pocket primer /

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, da...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Campesato, Oswald (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dulles, Virginia : Mercury Learning and Information, [2021]
Colección:Pocket primer.
Temas:
Databases.
Information retrieval.
Python (Computer program language)
Recherche de l'information.
Python (Langage de programmation)
information retrieval.
Databases
Information retrieval
Acceso en línea:Texto completo
Descripción
Sumario:As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. FEATURES: Includes a concise introduction to Python 3 and linear algebra; Provides a thorough introduction to data visualization and regular expressions; Covers NumPy, Pandas, R, and SQL; Introduces probability and statistical concepts; Features numerous code samples throughout; Companion files with source code and figures.
Descripción Física:1 online resource.
ISBN:9781683927310
1683927311

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