Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Condition: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.
Seller: Greenworld Books, Arlington, TX, U.S.A.
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Seller: HPB-Red, Dallas, TX, U.S.A.
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Seller: Half Price Books Inc., Dallas, TX, U.S.A.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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First Edition
paperback. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Seller: thebookforest.com, San Rafael, CA, U.S.A.
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Condition: New.
Seller: GoldBooks, Denver, CO, U.S.A.
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Condition: As New. Unread book in perfect condition.
Paperback. Condition: As New. Softcover. Good binding and cover. Light wear. Top edge scuffed. Clean, unmarked pages.
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Seller: Anybook.com, Lincoln, United Kingdom
Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Book contains highlighter markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9781491948811.
Soft cover. Condition: Very Good. Corner of cover slightly bent , page corners lightly scuffed and one or two pages dog-eared. Otherwise in good condition.
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Paperback. Condition: New. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you'll learn how to acquire, clean, analyze, and present data efficiently. You'll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process.
Language: English
Published by O'Reilly Media 2/20/2016, 2016
ISBN 10: 1491948817 ISBN 13: 9781491948811
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Data Wrangling with Python: Tips and Tools to Make Your Life Easier. Book.
Condition: New.
Language: English
Published by O'Reilly Media, Inc, USA, 2016
ISBN 10: 1491948817 ISBN 13: 9781491948811
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by O?Reilly Media, Inc, USA, 2016
ISBN 10: 1491948817 ISBN 13: 9781491948811
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
Condition: New. Digging into data does not have to be painful. With Data Wrangling Using Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. Num Pages: 450 pages. BIC Classification: UMW; UNC. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2016. 1st Edition. Paperback. . . . .
Condition: As New. Unread book in perfect condition.
Language: English
Published by O Reilly Media, Inc, USA, 2016
ISBN 10: 1491948817 ISBN 13: 9781491948811
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Digging into data does not have to be painful. With Data Wrangling Using Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. Num Pages: 450 pages. BIC Classification: UMW; UNC. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
Language: English
Published by Oreilly & Associates Inc, 2016
ISBN 10: 1491948817 ISBN 13: 9781491948811
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 488 pages. 9.00x6.75x1.25 inches. In Stock.
Paperback. Condition: New. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you'll learn how to acquire, clean, analyze, and present data efficiently. You'll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process.
Condition: New. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that s initially too messy or difficult to access.