MetPy Mondays #81 - Managing Environments

Environments are a useful tool for your Python based life, but managing them can be tricky. Learn the ins and outs on this week's MetPy Monday!

Chunking Algorithms for NetCDF-C

Unidata is in the process of developing a Zarr [] based variant of netcdf. As part of this effort, it was necessary to implement some support for chunking. Specifically, the problem to be solved was that of extracting a hyperslab of data from an n-dimensional variable (array in Zarr parlance) that has been divided into chunks (in the HDF5 sense). Each chunk is stored independently in the data storage -- Amazon S3, for example.

The algorithm takes a series of R slices of the form (first,stop,stride), where R is the rank of the variable. Note that a slice of the form (first, count, stride), as used by netcdf, is equivalent because stop = first + count*stride. These slices form a hyperslab.

The goal is to compute the set of chunks that intersect the hyperslab and to then extract the relevant data from that set of chunks to produce the hyperslab.

[Read More]

MetPy Mondays #80 - Type Hinting

This week we explore type hinting and how it can make your code more reader friendly.

MetPy Mondays #79 - Function Documentation

Documenting isn't always fun, but it's the best way to be nice to your future self! Find out how in this week's MetPy Monday!

MetPy Mondays #78 - Path Best Practices

Unidata Developer's Blog
A weblog about software development by Unidata developers*
Unidata Developer's Blog
A weblog about software development by Unidata developers*

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