To deploy the new API application on a Microsoft Server with Internet Information Services (IIS) installed, we have to download some Python code, and an IIS module called FastCGI. Once configured, the application will respond to web requests from any allowed machine.
Deploying Flask to IIS
by Paul Crickard, Eric van Rees, Silas Toms
Mastering Geospatial Analysis with Python
- Title Page
- Copyright and Credits
- Packt Upsell
- Contributors
- Preface
- Package Installation and Management
- Introduction to Geospatial Code Libraries
- Introduction to Geospatial Databases
- Data Types, Storage, and Conversion
- Vector Data Analysis
- Raster Data Processing
- Geoprocessing with Geodatabases
- Automating QGIS Analysis
- ArcGIS API for Python and ArcGIS Online
- Introducing the ArcGIS API for Python and ArcGIS Online
- A Pythonic web API
- Installing the API
- Authenticating your Esri user accounts
- Different modules of the ArcGIS API for Python
- Exercise 1 – importing the API and using the map widget
- Exercise 2 – searching, displaying, and describing geospatial content
- Exercise 3 – working with raster data and the API's geoprocessing functions
- Summary
- Introducing the ArcGIS API for Python and ArcGIS Online
- Geoprocessing with a GPU Database
- Flask and GeoAlchemy2
- GeoDjango
- Geospatial REST API
- Cloud Geodatabase Analysis and Visualization
- Automating Cloud Cartography
- Python Geoprocessing with Hadoop
- Other Books You May Enjoy
Deploying Flask to IIS
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