Nikolay Koldunov
koldunovn@gmail.com
OceanPython.org - OceanPython.org is a website to learn Python Programming Language for ocean- and marine-science applications and to share Python code. OceanPython.org is maintained by students, staff and post-docs at the Department of Oceanography of Dalhousie University (Canada)
EarthPy - EarthPy is a collection of IPython notebooks with examples of Earth Science related Python code. It can be tutorials, descriptions of the modules, small scripts, or just tricks, that you think might be useful for others.
Python for Signal Processing - This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks
PyVideo - Huge collection of Python related video indexed so you can find it.
pyFerret - PyFerret is a Python module wrapping Ferret. The pyferret module provides Python functions so Python users can easily take advantage of the Ferret's abilities to retrieve, manipulate, visualize, and save data. There are also functions to move data between Python and the Ferret engine. Python scripts used as Ferret external functions.
PyNGL - PyNGL is a Python language module used to visualize scientific data, with an emphasis on high quality 2D visualizations. Sort of interface to NCL plotting functions.
python-gsw - Python implementation of the Thermodynamic Equation Of Seawater - 2010 (TEOS-10)
python-seawater - Translated version of the matlab CSIRO seawater toolbox (EOS80)
python-ctd - Tools to load hydrographic data into pandas DataFrame (and some rudimentary methods for data pre-processing/analysis). This module can load SeaBird CTD (CNV), Sippican XBT (EDF), and Falmouth CTD (ASCII) formats.
TAPPY - a tidal analysis package.
pyresample - Resampling (reprojection) of geospatial image data in Python. Pyresample uses a kd-tree approach for resampling. Pyresample is designed for resampling of remote sensing data and supports resampling from both fixed grids and geolocated swath data.
jasmin-cis - This is a community effort to develop an automated model/data community intercomparison suite (CIS) within the JASMIN environment at the Centre for Environmental Data Archiving (CEDA) that will provide automated scientific analysis of heterogeneous datasets from models and observations.
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