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other:uvcdat:cdat_conda:cdat_8_2_1 [2021/04/15 13:21] jypeter [Extra packages list] added opencv and peakutils |
other:uvcdat:cdat_conda:cdat_8_2_1 [2021/06/09 14:52] jypeter [Extra packages list] Cleaned the list, added python-cdo |
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+ | * [[https://github.com/Try2Code/cdo-bindings|python-cdo]]: Python scripting interface of [[https://code.mpimet.mpg.de/projects/cdo/wiki/Cdo#Documentation|cdo]] | ||
+ | * ''python-cdo'' will install the ''cdo'' package (providing the ''cdo ''executable) as a dependency | ||
+ | * see also [[https://code.mpimet.mpg.de/projects/cdo/wiki/Cdo%7Brbpy%7D#Python|Using CDO from python or ruby]] | ||
* [[http://matplotlib.org/cmocean/|cmocean]]: beautiful colormaps for oceanography | * [[http://matplotlib.org/cmocean/|cmocean]]: beautiful colormaps for oceanography | ||
+ | * [[http://ferret.pmel.noaa.gov/Ferret/documentation/pyferret|pyferret]] and ''ferret_datasets'': Ferret encapsulated in Python | ||
+ | * OSGeo/[[http://www.gdal.org/|gdal]]: Geospatial Data Abstraction Library. GDAL is a translator library for raster and vector geospatial data formats | ||
+ | * [[https://pcjericks.github.io/py-gdalogr-cookbook/|Python GDAL/OGR Cookbook]] | ||
* [[https://github.com/TEOS-10/GSW-python|gsw]]: Python implementation of the Thermodynamic Equation Of Seawater | * [[https://github.com/TEOS-10/GSW-python|gsw]]: Python implementation of the Thermodynamic Equation Of Seawater | ||
+ | * see also //seawater// | ||
* [[https://joblib.readthedocs.io/en/latest/|joblib]]: running Python functions as pipeline jobs | * [[https://joblib.readthedocs.io/en/latest/|joblib]]: running Python functions as pipeline jobs | ||
- | * [[https://jiffyclub.github.io/palettable/|Palettable]]: Color palettes for Python | ||
- | * [[http://ferret.pmel.noaa.gov/Ferret/documentation/pyferret|pyferret and ferret_datasets]]: Ferret encapsulated in Python | ||
- | * [[http://www.gdal.org/|OSGeo/GDAL]]: Geospatial Data Abstraction Library. GDAL is a translator library for raster and vector geospatial data formats | ||
- | * [[https://pcjericks.github.io/py-gdalogr-cookbook/|Python GDAL/OGR Cookbook]] | ||
- | * [[https://geopandas.org/|geopandas]]: an open source project to make working with geospatial data in python easier | ||
* [[https://opencv.org/|OpenCV]]: OpenCV (Open Source Computer Vision Library) is an open-source library that includes several hundreds of computer vision algorithms. See also [[https://www.geeksforgeeks.org/opencv-python-tutorial/|OpenCV Python Tutorial]] and **scikit-image** | * [[https://opencv.org/|OpenCV]]: OpenCV (Open Source Computer Vision Library) is an open-source library that includes several hundreds of computer vision algorithms. See also [[https://www.geeksforgeeks.org/opencv-python-tutorial/|OpenCV Python Tutorial]] and **scikit-image** | ||
+ | * [[https://jiffyclub.github.io/palettable/|Palettable]]: Color palettes for Python | ||
+ | * [[http://pandas.pydata.org/|pandas]]: Python Data Analysis Library | ||
+ | * [[https://geopandas.org/|geopandas]]: an open source project to make working with geospatial data in python easier | ||
* [[https://peakutils.readthedocs.io/|PeakUtils]]: utilities related to the detection of peaks on 1D data | * [[https://peakutils.readthedocs.io/|PeakUtils]]: utilities related to the detection of peaks on 1D data | ||
* [[https://python-pillow.org/|pillow]]: the friendly PIL (//Python Imaging Library//) fork | * [[https://python-pillow.org/|pillow]]: the friendly PIL (//Python Imaging Library//) fork | ||
- | * [[http://pandas.pydata.org/|pandas]]: Python Data Analysis Library | + | * [[https://rpy2.github.io/|rpy2]]: an interface to R running embedded in a Python process |
- | * [[https://rpy2.github.io/]]: an interface to R running embedded in a Python process | + | |
* [[http://scikit-image.org/|scikit-image]]: image processing in Python | * [[http://scikit-image.org/|scikit-image]]: image processing in Python | ||
* [[https://scikit-learn.org/stable/index.html|scikit-learn]]: Machine Learning in Python | * [[https://scikit-learn.org/stable/index.html|scikit-learn]]: Machine Learning in Python | ||
* [[https://seaborn.pydata.org/|seaborn]]: statistical data visualization | * [[https://seaborn.pydata.org/|seaborn]]: statistical data visualization | ||
* [[http://pythonhosted.org/seawater/|seawater]]: Python re-write of the CSIRO seawater toolbox | * [[http://pythonhosted.org/seawater/|seawater]]: Python re-write of the CSIRO seawater toolbox | ||
+ | * see also //gsw// | ||
* [[http://statsmodels.sourceforge.net/|statsmodels]]: a Python module that allows users to explore data, estimate statistical models, and perform statistical tests | * [[http://statsmodels.sourceforge.net/|statsmodels]]: a Python module that allows users to explore data, estimate statistical models, and perform statistical tests | ||