Python Tools for Data Scientists Pocket Primer - Softcover

Campesato, Oswald

Softcover

ISBN 10: 1683928237 ISBN 13: 9781683928232

Verlag: Mercury Learning and Information, 2022

Inhaltsangabe

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

Über diesen Titel

Über die Autorin bzw. den Autor

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

Details zur Ausgabe

• Verlag: Mercury Learning and Information
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 1683928237
• ISBN 13: 9781683928232
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 324
• Kontakt zum Hersteller: productsafety@degruyterbrill.com; productsafety@degruyterbrill.com; ; Genthiner Straße 13; Berlin; 10785; Deutschland