Python JSON libraries

JavaScript Object Notation (JSON) is rapidly becoming the number one data exchange format across a lot of fields. The lightweight syntax and the similarity to existing data structures in both the JavaScript from which Python borrows some data structures makes it a perfect match for Python.

The following GeoJSON sample document contains a single point:

{
    "type": "Feature",
    "id": "OpenLayers.Feature.Vector_314",
    "properties": {},
    "geometry": {
        "type": "Point",
        "coordinates": [
            97.03125,
            39.7265625
        ]
    },
    "crs": {
        "type": "name",
        "properties": {
            "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
        }
    }
}

This sample is just a simple point with new attributes, which would be stored in the properties data structure of the geometry. First, we'll compact the sample document into a single string to make it easier to handle:

>>> jsdata = """{ "type": "Feature", "id": "OpenLayers...