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| other:uvcdat:cdat_conda:cdat_2024_03 [2026/09/21 16:22] – [Extra packages list] Added SALib jypeter | other:uvcdat:cdat_conda:cdat_2024_03 [2026/10/19 09:51] (current) – [Extra packages list] Added conda-which warning jypeter |
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| * [[https://github.com/AutoViML/AutoViz|AutoViz]]: the One-Line Automatic Data Visualization Library. Automatically Visualize any dataset, any size with a single line of code | * [[https://github.com/AutoViML/AutoViz|AutoViz]]: the One-Line Automatic Data Visualization Library. Automatically Visualize any dataset, any size with a single line of code |
| * [[https://matplotlib.org/basemap/|basemap]]: a library for plotting 2D data on maps in Python | * [[https://matplotlib.org/basemap/|basemap]]: a library for plotting 2D data on maps in Python |
| | * 2026-09: <wrap hi>''basemap'' can't be installed with a recent version of ''numpy'' (''numpy >= 2.4'')</wrap>, see [[https://github.com/matplotlib/basemap/issues/655|Add numpy 2.5 compatibility]] |
| * [[missing|basemap-data]] and [[https://github.com/conda-forge/basemap-data-hires-feedstock|basemap-data-hires]]: (high resolution) data for ''basemap'' | * [[missing|basemap-data]] and [[https://github.com/conda-forge/basemap-data-hires-feedstock|basemap-data-hires]]: (high resolution) data for ''basemap'' |
| * [[https://blosc.org/python-blosc2/getting_started/overview.html|Python-Blosc2]]: a high-performance compressed ''ndarray'' library with a flexible compute engine | * [[https://blosc.org/python-blosc2/getting_started/overview.html|Python-Blosc2]]: a high-performance compressed ''ndarray'' library with a flexible compute engine |
| * [[https://conda.github.io/conda-pypi/|conda-pypi]]: provides better PyPI interoperability for the conda ecosystem | * [[https://conda.github.io/conda-pypi/|conda-pypi]]: provides better PyPI interoperability for the conda ecosystem |
| * [[https://github.com/kelvinou01/conda-which|conda-which]]: find the package owning a file | * [[https://github.com/kelvinou01/conda-which|conda-which]]: find the package owning a file |
| | * <wrap hi>[[https://github.com/kelvinou01/conda-which/issues/7|conda-which 0.2.2 BREAKS conda > 26.7]]</wrap> |
| * See the [[https://github.com/conda/conda/issues/14026|Is there an easy way to find the package "owning" a file ?]] GH issue | * See the [[https://github.com/conda/conda/issues/14026|Is there an easy way to find the package "owning" a file ?]] GH issue |
| * [[https://www.cvxpy.org/|cvxpy]]: an open source Python-embedded modeling language for convex optimization problems | * [[https://www.cvxpy.org/|cvxpy]]: an open source Python-embedded modeling language for convex optimization problems |
| * [[https://ultraplot.readthedocs.io/en/latest/|UltraPlot]]: a succinct matplotlib wrapper for making beautiful, publication-quality graphics | * [[https://ultraplot.readthedocs.io/en/latest/|UltraPlot]]: a succinct matplotlib wrapper for making beautiful, publication-quality graphics |
| * [[https://uxarray.readthedocs.io/|uxarray]]: provide xarray styled functionality for unstructured grid datasets following [[https://ugrid-conventions.github.io/ugrid-conventions/|UGRID Conventions]] | * [[https://uxarray.readthedocs.io/|uxarray]]: provide xarray styled functionality for unstructured grid datasets following [[https://ugrid-conventions.github.io/ugrid-conventions/|UGRID Conventions]] |
| | * [[https://amueller.github.io/word_cloud/|wordcloud]]: A little //word cloud// generator in Python |
| * [[https://docs.xarray.dev/en/stable/|xarray]]: Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun! | * [[https://docs.xarray.dev/en/stable/|xarray]]: Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun! |
| * See also: ''flox'', ''xcdat'', ''rioxarray'', ... | * See also: ''flox'', ''xcdat'', ''rioxarray'', ... |
