Introduction
============

Philosophy
----------

Before Rasterio there was one Python option for accessing the many different
kind of raster data files used in the GIS field: the Python bindings
distributed with the `Geospatial Data Abstraction Library, GDAL
<http://gdal.org/>`__.  These bindings extend Python, but provide little
abstraction for GDAL's C API. This means that Python programs using them tend
to read and run like C programs. For example, GDAL's Python bindings require
users to watch out for dangling C pointers, potential crasher of programs.
This is bad: among other considerations we've chosen Python instead of C to
avoid problems with pointers.

What would it be like to have a geospatial data abstraction in the Python
standard library? One that used modern Python language features and idioms?
One that freed users from concern about dangling pointers and other
C programming pitfalls? Rasterio's goal is to be this kind of raster data
library – expressing GDAL's data model using fewer non-idiomatic extension
classes and more idiomatic Python types and protocols, while performing as
fast as GDAL's Python bindings.

High performance, lower cognitive load, cleaner and more transparent code.
This is what Rasterio is about.

Rasterio license
----------------

Copyright (c) 2016, MapBox
All rights reserved.

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modification, are permitted provided that the following conditions are met:

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  this list of conditions and the following disclaimer in the documentation
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* Neither the name of Mapbox nor the names of its contributors may
  be used to endorse or promote products derived from this software without
  specific prior written permission.

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