netCDF4 is the fourth version of the netCDF library that's implemented on top of HDF5 (Hierarchical Data Format, designed to store and organize large amounts of data), which makes it possible to manage extremely large and complex multidimensional data. The greatest advantage of netCDF4 is that it is a completely portable file format with no limit on the number or size of data objects in a collection, and it's appendable while being archivable as well. Many scientific research organizations use it for data storage. Python also has an interface to access and create this type of data format.
You can download and install the module from its official documentation page at http://unidata.github.io/netcdf4-python/, or clone it from its GitHub repository at https://github.com/Unidata/netcdf4-python. It's not included in the standard Python Scientific distribution, but it's built into NumPy and can build with Cython (this is recommended but not required).
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