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| other:uvcdat:cdat_conda:cdat_2024_03 [2025/10/01 11:36] – [Extra packages list] Added python-dateutil jypeter | other:uvcdat:cdat_conda:cdat_2024_03 [2025/10/31 17:05] (current) – [Extra packages list] Added GeoCAT related packages jypeter |
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| * [[https://github.com/piskvorky/gensim?tab=readme-ov-file|gensim]]: a Python library for topic modelling, document indexing and similarity retrieval with large corpora | * [[https://github.com/piskvorky/gensim?tab=readme-ov-file|gensim]]: a Python library for topic modelling, document indexing and similarity retrieval with large corpora |
| * See also //scikit-learn// | * See also //scikit-learn// |
| | * [[https://geocat.ucar.edu/about/|GeoCAT]] (Geoscience Community Analysis Toolkit): create scalable data analysis and visualization tools for Earth System Science data. Some of the functionalities in the GeoCAT stack are inspired/reimplemented from NCL (NCAR Command Language) |
| | * [[https://geocat.ucar.edu/software/geocat_viz/|geocat-viz]]: a collection of Python plotting utility functions intended to make common Matplotlib and Cartopy routines easier for the user, as well as adding support for additional geoscientific plot types |
| | * [[https://geocat.ucar.edu/software/geocat_comp/|geocat-comp]]: provides implementations of computational functions for operating on geosciences data |
| | * [[https://geocat.ucar.edu/software/uxarray/|uxarray]]: address the geoscience community’s need for tools that enable standard data analysis techniques and visualization functionality to operate directly on unstructured grid data (i.e. without regridding to structured grids) |
| | * ''geocat-datafiles'' and [[https://geocat-examples.readthedocs.io/en/latest/gallery/|Gallery]] |
| * [[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// | * See also //seawater// |
| * [[https://intake.readthedocs.io/|intake]]: a lightweight package for finding, investigating, loading and disseminating data | * [[https://intake.readthedocs.io/|intake]]: a lightweight package for finding, investigating, loading and disseminating data |
| * [[https://intake-esm.readthedocs.io/|intake-esm]]: data cataloging utility built on top of intake, pandas, and xarray | * [[https://intake-esm.readthedocs.io/|intake-esm]]: data cataloging utility built on top of intake, pandas, and xarray |
| | * [[https://intake-esgf.readthedocs.io/|intake-esgf]]: an ''intake'' and ''intake-esm'' inspired package under development in ESGF2 |
| * [[https://ipyleaflet.readthedocs.io/en/latest/|ipyleaflet]]: interactive maps in the Jupyter notebook | * [[https://ipyleaflet.readthedocs.io/en/latest/|ipyleaflet]]: interactive maps in the Jupyter notebook |
| * [[https://ipywidgets.readthedocs.io/|ipywidgets]]: ipywidgets, also known as jupyter-widgets or simply widgets, are interactive HTML widgets for Jupyter notebooks and the IPython kernel | * [[https://ipywidgets.readthedocs.io/|ipywidgets]]: ipywidgets, also known as jupyter-widgets or simply widgets, are interactive HTML widgets for Jupyter notebooks and the IPython kernel |
| * [[https://corteva.github.io/rioxarray/|rioxarray]]: ''rasterio'' xarray extension | * [[https://corteva.github.io/rioxarray/|rioxarray]]: ''rasterio'' xarray extension |
| * [[https://rpy2.github.io/|rpy2]]: an interface to R running embedded in a Python process | * [[https://rpy2.github.io/|rpy2]]: an interface to R running embedded in a Python process |
| | * [[https://scikit.bio/|scikit-bio]]: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources |
| * [[http://scikit-image.org/|scikit-image]]: a collection of algorithms for image processing in Python | * [[http://scikit-image.org/|scikit-image]]: a collection of algorithms for image processing in Python |
| * [[https://scikit-learn.org/|scikit-learn]]: an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other utilities. | * [[https://scikit-learn.org/|scikit-learn]]: an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other utilities. |
