| Both sides previous revisionPrevious revisionNext revision | Previous revision |
| other:uvcdat:cdat_conda:cdat_2024_03 [2025/08/21 17:17] – [Extra packages list] Added pymoo and cvxpy jypeter | other:uvcdat:cdat_conda:cdat_2024_03 [2025/12/04 16:19] (current) – [Extra packages list] Added plotnine jypeter |
|---|
| * ''python-cdo'' will install the ''cdo'' package (providing the ''cdo ''executable) as a dependency | * ''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|Using CDO from python or ruby]] | * see also [[https://code.mpimet.mpg.de/projects/cdo/wiki/Cdo%7Brbpy%7D|Using CDO from python or ruby]] |
| * See also ''nco'' | * See also ''nco'', ''pynco'' |
| * [[https://cds.climate.copernicus.eu/api-how-to|cdsapi]]: The Climate Data Store (CDS) Application Program Interface (API) is a service providing programmatic access to CDS data | * [[https://cds.climate.copernicus.eu/api-how-to|cdsapi]]: The Climate Data Store (CDS) Application Program Interface (API) is a service providing programmatic access to CDS data |
| * CDS = Copernicus [[https://cds.climate.copernicus.eu/|Climate Data Store]] | * CDS = Copernicus [[https://cds.climate.copernicus.eu/|Climate Data Store]] |
| * dask.[[https://distributed.dask.org/|distributed]]: lightweight library for distributed computing in Python | * dask.[[https://distributed.dask.org/|distributed]]: lightweight library for distributed computing in Python |
| * See also: flox | * See also: flox |
| | * [[https://dateutil.readthedocs.io/|python-dateutil]]: the ''dateutil'' module provides powerful extensions to the standard ''datetime'' module, available in Python |
| * [[https://github.com/man-group/dtale|D-Tale]] brings you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. | * [[https://github.com/man-group/dtale|D-Tale]] brings you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. |
| * Install with: ''conda install dtale -c conda-forge'' | * Install with: ''conda install dtale -c conda-forge'' |
| * [[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://nco.sourceforge.net/|nco]]: The NCO toolkit manipulates and analyzes data stored in netCDF-accessible formats | * [[https://nco.sourceforge.net/|nco]]: The NCO toolkit manipulates and analyzes data stored in netCDF-accessible formats |
| * Note: this only installs the [[https://nco.sourceforge.net/#Definition|nco executables]] (''ncks'', ''ncatted'', ...)! It is not really a Python package | * Note: this only installs the [[https://nco.sourceforge.net/#Definition|nco executables]] (''ncks'', ''ncatted'', ...)! It is not really a Python package |
| * See also ''cdo'' | * See also ''pynco'', ''cdo'' |
| * [[https://github.com/pydata/numexpr|NumExpr]]: Fast numerical expression evaluator for NumPy | * [[https://github.com/pydata/numexpr|NumExpr]]: Fast numerical expression evaluator for NumPy |
| * [[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://plotly.com/python/|plotly]]: Plotly's Python graphing library (sometimes referred to as //plotly.py//) makes interactive, publication-quality graphs | * [[https://plotly.com/python/|plotly]]: Plotly's Python graphing library (sometimes referred to as //plotly.py//) makes interactive, publication-quality graphs |
| * see also ''python-kaleido'' and ''dash'' | * see also ''python-kaleido'' and ''dash'' |
| | * [[https://plotnine.org/|plotnine]]: a data visualization package for Python based on the grammar of graphics, a coherent system for describing and building graphs |
| | * similar to ''ggplot2'', a widely successful ''R'' package |
| * [[https://www.fatiando.org/pooch/|pooch]]: a friend to fetch your data files (makes it easy to download a file, without messing with ''requests'' and ''urllib'') | * [[https://www.fatiando.org/pooch/|pooch]]: a friend to fetch your data files (makes it easy to download a file, without messing with ''requests'' and ''urllib'') |
| * //proplot//: a lightweight matplotlib wrapper for making beautiful, publication-quality graphics | * //proplot//: a lightweight matplotlib wrapper for making beautiful, publication-quality graphics |
| * **Wait** till it can be installed with ''conda'' ([[https://github.com/LinkedEarth/Pyleoclim_util/discussions/205|Why I'm not installing Pyleoclim yet]]) | * **Wait** till it can be installed with ''conda'' ([[https://github.com/LinkedEarth/Pyleoclim_util/discussions/205|Why I'm not installing Pyleoclim yet]]) |
| * [[https://www.pymoo.org/|pymoo]]: multi-objective Optimization in Python | * [[https://www.pymoo.org/|pymoo]]: multi-objective Optimization in Python |
| | * [[https://pynco.readthedocs.io/|pynco]]:Python bindings for NCO |
| | * See also ''nco'', ''cdo'', ''python-cdo'' |
| * [[https://requests.readthedocs.io/|requests]]: is an elegant and simple HTTP library for Python, built for human beings | * [[https://requests.readthedocs.io/|requests]]: is an elegant and simple HTTP library for Python, built for human beings |
| * See also ''pooch'' | * See also ''pooch'' |
| * [[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. |
