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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
Seller: mountain, GEORGETOWN, CO, U.S.A.
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Condition: Good. Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting.
Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2024
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress 3/18/2018, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Paperback or Softback. Condition: New. Learn Data Analysis with Python: Lessons in Coding 0.37. Book.
Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by APress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress 2018-02-23, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
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Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Apress 2018-02-23, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
Seller: Chiron Media, Wallingford, United Kingdom
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Paperback. Condition: New.
Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
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Condition: As New. Unread book in perfect condition.
Published by Apress, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Book First Edition
Condition: New. 2018. 1st ed. Paperback. . . . . .
Published by Apress Feb 2018, 2018
ISBN 10: 1484234855ISBN 13: 9781484234853
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it. Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects. If you aren't using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. What You Will LearnGet data into and out of Python codePrepare the data and its formatFind the meaning of the dataVisualize the data using iPython Who This Book Is For Those who want to learn data analysis using Python. Some experience with Python is recommended but not required, as is some prior experience with data analysis or data science. 97 pp. Deutsch.