other:uvcdat:cdat_conda:cdat_8_2_1
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other:uvcdat:cdat_conda:cdat_8_2_1 [2022/05/24 09:17] jypeter Improved the ferretmagic instructions |
other:uvcdat:cdat_conda:cdat_8_2_1 [2023/01/11 14:55] jypeter [Extra packages list] Added cftime, nc-time-axis and xarray |
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| //Add here packages that would be useful and have not been installed yet, or have some problems that prevent their installation// | //Add here packages that would be useful and have not been installed yet, or have some problems that prevent their installation// | ||
| - | |||
| - | * [[http://scitools.org.uk/iris/index.html|iris]]: A Python library for Meteorology and Climatology | ||
| - | * ''conda install -n cdatxxx -c conda-forge iris'' | ||
| * [[http://wrf-python.readthedocs.io/en/latest/|wrf-python]]: A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model | * [[http://wrf-python.readthedocs.io/en/latest/|wrf-python]]: A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model | ||
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| * [[https://github.com/ecmwf/cfgrib|cfgrib]]: Python interface to map GRIB files to the Unidata's Common Data Model v4 following the CF Conventions | * [[https://github.com/ecmwf/cfgrib|cfgrib]]: Python interface to map GRIB files to the Unidata's Common Data Model v4 following the CF Conventions | ||
| * see also ''eccodes'' and ''pygrib'' | * see also ''eccodes'' and ''pygrib'' | ||
| + | * [[https://unidata.github.io/cftime/|cftime]]: Python library for decoding time units and variable values in a netCDF file conforming to the Climate and Forecasting (CF) netCDF conventions | ||
| + | * Used with ''xarray'' | ||
| * [[https://clustergram.readthedocs.io/|clustergram]]: visualization and diagnostics for cluster analysis | * [[https://clustergram.readthedocs.io/|clustergram]]: visualization and diagnostics for cluster analysis | ||
| * [[https://www.fabiocrameri.ch/colourmaps/|cmcrameri]]: Crameri's Scientific colour maps ''[color]'' | * [[https://www.fabiocrameri.ch/colourmaps/|cmcrameri]]: Crameri's Scientific colour maps ''[color]'' | ||
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| * [[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://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://scitools-iris.readthedocs.io/en/stable/|iris]]: a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data | * [[https://scitools-iris.readthedocs.io/en/stable/|iris]]: a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data | ||
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| * [[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://jupyterlab.readthedocs.io/|jupyterlab]]: the next-generation web-based user interface for Project Jupyter | * [[https://jupyterlab.readthedocs.io/|jupyterlab]]: the next-generation web-based user interface for Project Jupyter | ||
| - | * [[https://github.com/plotly/Kaleido|python-kaleido]]: a cross-platform library for generating static images (e.g. png, svg, pdf, etc.) for web-based visualization libraries, | + | * [[https://github.com/plotly/Kaleido|python-kaleido]]: a cross-platform library for generating static images (e.g. png, svg, pdf, etc.) for web-based visualization libraries |
| + | * [[https://mpltern.readthedocs.io/|mpltern]]: a Python plotting library based on Matplotlib specifically designed for ternary plots | ||
| + | * [[https://nc-time-axis.readthedocs.io/en/stable/|nc-time-axis]]: a package that enables making plots in matplotlib with axes made up of ''cftime.datetime'' dates with any calendar type | ||
| * [[https://gitlab.com/remikz/nccmp|nccmp]]: compare two NetCDF files bitwise, semantically or with a user defined tolerance (absolute or relative percentage) | * [[https://gitlab.com/remikz/nccmp|nccmp]]: compare two NetCDF files bitwise, semantically or with a user defined tolerance (absolute or relative percentage) | ||
| * can probably also be done with [[https://code.mpimet.mpg.de/projects/cdo/embedded/index.html#x1-580002.1.3|cdo -v diffn file1.nc file2.nc]] | * can probably also be done with [[https://code.mpimet.mpg.de/projects/cdo/embedded/index.html#x1-580002.1.3|cdo -v diffn file1.nc file2.nc]] | ||
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| * [[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://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://proplot.readthedocs.io/en/latest/|proplot]]: a lightweight **matplotlib wrapper** for making beautiful, publication-quality graphics | * [[https://proplot.readthedocs.io/en/latest/|proplot]]: a lightweight **matplotlib wrapper** for making beautiful, publication-quality graphics | ||
| * [[https://github.com/jswhit/pygrib|pygrib]]: high-level interface to the ECWMF ECCODES C library for reading GRIB files | * [[https://github.com/jswhit/pygrib|pygrib]]: high-level interface to the ECWMF ECCODES C library for reading GRIB files | ||
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| * [[https://pyleoclim-util.readthedocs.io/|pyleoclim]]: a Python package designed for the analysis of paleoclimate data | * [[https://pyleoclim-util.readthedocs.io/|pyleoclim]]: a Python package designed for the analysis of paleoclimate data | ||
| * **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://requests.readthedocs.io/|requests]]: is an elegant and simple HTTP library for Python, built for human beings | ||
| + | * See also ''pooch'' | ||
| * [[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 | ||
| * [[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 | ||
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| * [[https://www.tensorflow.org/|tensorflow-mkl]]: an end-to-end open source machine learning platform | * [[https://www.tensorflow.org/|tensorflow-mkl]]: an end-to-end open source machine learning platform | ||
| * [[https://anaconda.org/anaconda/tensorflow-mkl|tensorflow-mkl]] will install the **CPU**-based (**not GPU**) version | * [[https://anaconda.org/anaconda/tensorflow-mkl|tensorflow-mkl]] will install the **CPU**-based (**not GPU**) version | ||
| + | * [[https://github.com/tqdm|tqdm]]: make your loops show a smart progress meter | ||
| + | * [[https://docs.xarray.dev/en/stable/|xarray]]: Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun! | ||
| * [[https://xcdat.readthedocs.io/|xcdat]]: Xarray Extended with Climate Data Analysis Tools | * [[https://xcdat.readthedocs.io/|xcdat]]: Xarray Extended with Climate Data Analysis Tools | ||
| * [[https://xoa.readthedocs.io/en/latest/|xoa]]: xarray-based ocean analysis library | * [[https://xoa.readthedocs.io/en/latest/|xoa]]: xarray-based ocean analysis library | ||
other/uvcdat/cdat_conda/cdat_8_2_1.txt · Last modified: 2024/07/02 10:44 by jypeter
