• 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.