Python Tools for Data Scientists Pocket Primer - Brossura

Campesato, Oswald

Brossura

ISBN 10: 1683928237 ISBN 13: 9781683928232

Casa editrice: Mercury Learning & Information, 2022

Riassunto

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available.

FEATURES:

• Introduces Python, NumPy, Sklearn, SciPy, and awk
• Covers data cleaning tasks and data visualization
• Features numerous code samples throughout
• Includes companion files with source code

Su questo libro

Informazioni sull?autore

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Dettagli dell'edizione

• Editore: Mercury Learning & Information
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1683928237
• ISBN 13: 9781683928232
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 300
• Contatto del produttore: productsafety@degruyterbrill.com; productsafety@degruyterbrill.com; ; Theaterstraße 13; Göttingen; 37073; Germania