Rees Eric Van (18 results)
- Softcover
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- Softcover
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- Softcover
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Seller: Coas Books, Las Cruces, NM, U.S.A.Coas Books
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- Softcover
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- Softcover
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- Softcover
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- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. 440.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Handbook of Combinatorial Designs (Discrete Mathematics and Its Applications)
Colbourn, Charles J. [Editor]; Colbourn, Charles J. [Editor]; Dinitz, Jeffrey H. [Editor]; Dinitz, Jeffrey H. [Editor]; Dinitz, Jeffrey H. [Contributor]; Anderson, Ian [Contributor]; Evans, Anthony B. [Contributor]; Godsil, Chris [Contributor]; Gopalakrishnan, K. [Contributor]; Koukouvinos, Christos H. [Contributor]; Mathon, Rudolf [Contributor]; Mendelsohn, Eric [Contributor]; Payne, Stanley E. [Contributor]; Mullin, Ronald C. [Contributor]; Pott, Alexander [Contributor]; Rosa, Alexander [Contributor]; Shrikhande, Mohan S. [Contributor]; Thas, Joseph A. [Contributor]; van Rees, John G.H. [Contributor]; van Trung, Tran [Contributor]; Abel, Julian [Contributor]; Gropp, Harald [Contributor]; Gronau, Hans-Dietrich O [Contributor]; Lindner, Cha
Language: English
Published by Chapman and Hall/CRC, 2006
Series: Book 9 of 67 - Discrete Mathematics and Its Applications
- Hardcover
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 440.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 440.
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- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and… data management. It uses examples that .
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- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explore GIS processing and learn to work with various tools and libraries in Python.Key FeaturesAnalyze and process geospatial data using Python libraries such as; Anaconda, GeoPandasLeverage new ArcGIS API to process geospatial data for… the cloud.Explore various Python geospatial web and machine learning frameworks.Book DescriptionPython comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis.You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.What you will learnManage code libraries and abstract geospatial analysis techniques using Python 3.Explore popular code libraries that perform specific tasks for geospatial analysis.Utilize code libraries for data conversion, data management, web maps, and REST API creation.Learn techniques related to processing geospatial data in the cloud.Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and Spatialite.
