Contributors: Christoph Gohlke

Name: Christoph Gohlke
Login: cgohlke
Email: cgohlke@uci.edu
Website: https://www.cgohlke.com
Location: Irvine, California
Repositories count: 28
Last synced at: 2023-03-05T09:19:17.461Z
OST Projects: 1
Languages: Cython
Categories: Climate Change
Sub Categories: Climate Data Standards
Topics: netcdf4, cf-conventions, netcdftime, format-reader, imagej, life-sciences-image, ome-tiff, tiff, whole-slide-imaging, zarr, amd, heterogeneous-parallel-programming, multidimensional-arrays, nvidia, opencl, parallel-algorithm, parallel-computing, prefix-sum, pyopencl, reduction, shared-memory, sorting, pycuda, mass-spectrometry, kivy, closember, spec-0, spec-1, spec-4, ipython, repl, numerical-methods, cffi, interoperability, finite-difference, finite-volume, inverse-problems, partial-differential-equations, multi-dimensional, llvm, parallel, chimera, image-converter, aec, avif, jpeg, jpeg-ls, jpeg2000, jpegxl, jpegxr, lerc, lz4, lzf, lzma, lzw, packbits, png, webp, zfp, life-sciences

Contributed Projects

netcdf-python

The Unidata network Common Data Form (netCDF) in Python is an interface for scientific data access and a set of freely-distributed software libraries that provide an implementation of the interface.

netcdf netcdf4 python

Climate Change - Climate Data Standards - Last synced: 19 Jun 2026 - Ranking: 26.1