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* `tutorial.py`: code from introduction section of documentation.
* `json_att.py`: shows to to use json to serialize python objects, save them as
netcdf attributes, and then convert them back to python objects.
* `subset.py`: shows how to use 'orthogonal indexing' to select geographic regions.
* `reading_netcdf.ipynb`: ipython notebook from Unidata python workshop.
* `writing_netcdf.ipynb`: ipython notebook from Unidata python workshop.
* `threaded_read.py`: test script for concurrent threaded reads.
* `bench.py`: benchmarks for reading/writing using different formats.
* `bench_compress*.py``: benchmarks for reading/writing with compression.
* `bench_diskless.py`: benchmarks for 'diskless' IO.
* `test_stringarr.py`: test utilities for converting arrays of fixed-length strings
to arrays of characters (with an extra dimension), and vice-versa.
Useful since netcdf does not have a datatype for fixed-length string arrays.
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