Zustand: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
Sprache: Englisch
Verlag: Packt Publishing - ebooks Accoun, 2018
ISBN 10: 1788293339 ISBN 13: 9781788293334
Anbieter: A Team Books, Conway, AR, USA
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paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Packt Publishing - ebooks Accoun, 2018
ISBN 10: 1788293339 ISBN 13: 9781788293334
Anbieter: HPB-Red, Dallas, TX, USA
paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Anbieter: Coas Books, Las Cruces, NM, USA
Zustand: good. Cover is worn. Paperback.
Paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
Zustand: New.
Sprache: Englisch
Verlag: Packt Publishing 8/21/2014, 2014
ISBN 10: 1783554819 ISBN 13: 9781783554812
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Leaflet.Js Essentials. Book.
Zustand: As New. Unread book in perfect condition.
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Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 33,29
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: 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.
Sprache: Englisch
Verlag: Packt Publishing - ebooks Accoun, 2018
ISBN 10: 1788293339 ISBN 13: 9781788293334
Anbieter: A Team Books, Conway, AR, USA
paperback. Zustand: New. Brand New! Proven Seller with Excellent Customer Service. Choose expedited shipping and get it FAST.
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Zustand: New.
Sprache: Englisch
Verlag: Packt Publishing 10/23/2020, 2020
ISBN 10: 183921418X ISBN 13: 9781839214189
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Data Engineering with Python. Book.
EUR 33,98
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Zustand: As New. Unread book in perfect condition.
EUR 37,35
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Packt Publishing Limited, GB, 2020
ISBN 10: 183921418X ISBN 13: 9781839214189
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Paperback. Zustand: New. Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projectsKey FeaturesBecome well-versed in data architectures, data preparation, and data optimization skills with the help of practical examplesDesign data models and learn how to extract, transform, and load (ETL) data using PythonSchedule, automate, and monitor complex data pipelines in productionBook DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python.The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You'll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You'll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you'll build architectures on which you'll learn how to deploy data pipelines.By the end of this Python book, you'll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learnUnderstand how data engineering supports data science workflowsDiscover how to extract data from files and databases and then clean, transform, and enrich itConfigure processors for handling different file formats as well as both relational and NoSQL databasesFind out how to implement a data pipeline and dashboard to visualize resultsUse staging and validation to check data before landing in the warehouseBuild real-time pipelines with staging areas that perform validation and handle failuresGet to grips with deploying pipelines in the production environmentWho this book is forThis book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.
Zustand: New.
Sprache: Englisch
Verlag: Packt Publishing Limited, GB, 2020
ISBN 10: 183921418X ISBN 13: 9781839214189
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 59,71
Anzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projectsKey FeaturesBecome well-versed in data architectures, data preparation, and data optimization skills with the help of practical examplesDesign data models and learn how to extract, transform, and load (ETL) data using PythonSchedule, automate, and monitor complex data pipelines in productionBook DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python.The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You'll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You'll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you'll build architectures on which you'll learn how to deploy data pipelines.By the end of this Python book, you'll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learnUnderstand how data engineering supports data science workflowsDiscover how to extract data from files and databases and then clean, transform, and enrich itConfigure processors for handling different file formats as well as both relational and NoSQL databasesFind out how to implement a data pipeline and dashboard to visualize resultsUse staging and validation to check data before landing in the warehouseBuild real-time pipelines with staging areas that perform validation and handle failuresGet to grips with deploying pipelines in the production environmentWho this book is forThis book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.
Sprache: Englisch
Verlag: Packt Publishing Limited, GB, 2023
ISBN 10: 1788293339 ISBN 13: 9781788293334
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 62,86
Anzahl: Mehr als 20 verfügbar
In den WarenkorbDigital. Zustand: New. Explore GIS processing and learn to work with various tools and libraries in Python.About This Book. Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas. Leverage new ArcGIS API to process geospatial data for the cloud. Explore various Python geospatial web and machine learning frameworks.Who This Book Is ForThe audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3.What You Will Learn. Manage 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.In DetailPython 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.Style and approachThe book takes a practical, example-driven approach to teach you GIS analysis and automation techniques with Python 3.
Sprache: Englisch
Verlag: Packt Publishing, Limited, 2020
ISBN 10: 183921418X ISBN 13: 9781839214189
Anbieter: Books Puddle, New York, NY, USA
Zustand: New.
EUR 52,53
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Packt Publishing, Limited, 2020
ISBN 10: 183921418X ISBN 13: 9781839214189
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 53,76
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.