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- PublisherLAP LAMBERT Academic Publishing
- Publication date2023
- ISBN 10 6207454073
- ISBN 13 9786207454075
- BindingPaperback
- LanguageEnglish
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Exploratory Data Analysis Using Python
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6207454073
ISBN 13: 9786207454075
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
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Exploratory Data Analysis Using Python
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6207454073
ISBN 13: 9786207454075
New
Softcover
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Exploratory Data Analysis Using Python
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6207454073
ISBN 13: 9786207454075
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. PRINT ON DEMAND. Seller Inventory # 18400970668
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Exploratory Data Analysis Using Python
Published by
LAP LAMBERT Academic Publishing Dez 2023, 2023
ISBN 10: 6207454073
ISBN 13: 9786207454075
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Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 88 pp. Englisch. Seller Inventory # 9786207454075
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Exploratory Data Analysis Using Python : A Quick Reference Guide
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6207454073
ISBN 13: 9786207454075
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Exploratory Data Analysis using Python: A Quick Reference Guide' serves as an invaluable companion for data enthusiasts seeking a concise and practical overview of exploratory data analysis (EDA) techniques using the Python programming language. Exploratory Data Analysis serves as an important step of any data analysis task, offering a systematic approach to understanding, cleaning, and interpreting data before carrying out more complex modeling. It not only enhances the reliability of subsequent analyses but also empowers data practitioners to make informed decisions, leading to more robust and actionable insights. This book is designed to be a quick reference, offering insights into key Python libraries and methods for effective data exploration. Whether you're a beginner or an experienced data analyst, this guide provides essential tools and tips to navigate through the intricate process of EDA, enabling you to uncover patterns, trends, and valuable insights within your datasets efficiently. Seller Inventory # 9786207454075
Quantity: 1 available