Seller: Greenworld Books, Arlington, TX, U.S.A.
Condition: good. Fast Free Shipping â" Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.
paperback. Condition: Good. Previously read with typical light wear. Good text with reading wear to cover and edges. US orders shipped via US Mail. International orders shipped via DHL. Additional postage may be required on oversize books and sets. NO prison orders.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Python for SAS Users: A Sas-Oriented Introduction to Python. Book.
Seller: Lakeside Books, Benton Harbor, MI, U.S.A.
Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Condition: New.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Chiron Media, Wallingford, United Kingdom
PF. Condition: New.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 434 pages. 9.75x7.00x1.00 inches. In Stock.
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484250001 ISBN 13: 9781484250006
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Taschenbuch. Condition: Neu. Python for SAS Users | A SAS-Oriented Introduction to Python | Sarah Chen (u. a.) | Taschenbuch | xvii | Englisch | 2019 | Apress | EAN 9781484250006 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484250001 ISBN 13: 9781484250006
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484250001 ISBN 13: 9781484250006
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. User level: Beg-Int|Provides working code examples and detailed explanationsHelps SAS users easily upgrade and expand their existing skillsUses real-world examples and common problems faced with data management and analysis tasks.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Business users familiar with Base SAS programming can now learn Python by example. You will learn via examples that map SAS programming constructs and coding patterns into their Python equivalents. Your primary focus will be on pandas and data management issues related to analysis of data.It is estimated that there are three million or more SAS users worldwide today. As the data science landscape shifts from using SAS to open source software such as Python, many users will feel the need to update their skills. Most users are not formally trained in computer science and have likely acquired their skills programming SAS as part of their job.As a result, the current documentation and plethora of books and websites for learning Python are technical and not geared for most SAS users.Python for SAS Users provides the most comprehensive set of examples currently available. It contains over 200 Python scripts and approximately 75 SAS programs that are analogs to the Python scripts. The first chapters are more Python-centric, while the remaining chapters illustrate SAS and corresponding Python examples to solve common data analysis tasks such as reading multiple input sources, missing value detection, imputation, merging/combining data, and producing output. This book is an indispensable guide for integrating SAS and Python workflows.What You'll LearnQuickly master Python for data analysis without using a trial-and-error approachUnderstand the similarities and differences between Base SAS and PythonBetter determine which language to use, depending on your needsObtain quick resultsWho This Book Is ForSAS users, SAS programmers, data scientists, data scientist leaders, and Python users who need to work with SAS.