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  • - Work with massive datasets to design data models and automate data pipelines using Python
    av Paul Crickard
    656,-

    This book is a comprehensive introduction to building data pipelines, that will have you moving and transforming data in no time. You'll learn how to build data pipelines, transform and clean data, and deliver it to provide value to users. You will learn to deploy production data pipelines that include logging, monitoring, and version control.

  • - Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
    av Silas Toms, Paul Crickard & Eric van Rees
    676,-

    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 explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.

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