other:uvcdat:cdat_conda:cdat_8_2_1
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other:uvcdat:cdat_conda:cdat_8_2_1 [2021/03/08 09:46] jypeter [Using JYP version] Improved |
other:uvcdat:cdat_conda:cdat_8_2_1 [2021/03/08 20:47] jypeter Added geopandas |
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| - | ====== CDAT 8.2.1 installation notes ====== | + | ====== Python distribution based on CDAT 8.2.1 notes ====== |
| [ [[.:index|Back to all versions]] ] | [ [[.:index|Back to all versions]] ] | ||
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| ==== You want to replicate this installation on your own server or desktop/laptop ==== | ==== You want to replicate this installation on your own server or desktop/laptop ==== | ||
| + | Read the next sections of this web page | ||
| + | |||
| + | There are some slight differences if you want to install this distribution: | ||
| + | * just for you. This is the usual case. Well, if you break something you can always remove everything and start from scratch | ||
| + | * for sharing a stable version with several other people | ||
| + | |||
| + | The notes at the beginning of each section will tell you if you can skip the section if you are just installing for you | ||
| ===== What's New in CDAT 8.2.1? ===== | ===== What's New in CDAT 8.2.1? ===== | ||
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| * Full [[https://uvcdat.llnl.gov/changelog.html#8.2.1|Change log]] | * Full [[https://uvcdat.llnl.gov/changelog.html#8.2.1|Change log]] | ||
| - | Note: this particular CDAT installation at LSCE (and on other machines/servers) provides **many extra (non-CDAT) packages**. You can jump directly to the [[#extra_packages_list|Extra package list]] at the bottom of this page to see what is available | + | Note: this particular CDAT installation at LSCE (and on other machines/servers) provides **many extra (non-CDAT) packages**. You can jump directly to the [[#extra_packages_list|Extra package list]] at the bottom of this page, if you want to see what is available |
| ===== Installation with Miniconda3 ===== | ===== Installation with Miniconda3 ===== | ||
| - | We assume that Miniconda3 is already installed. Otherwise, follow the the [[other:uvcdat:cdat_conda:cdat_8_0_py2#installing_miniconda3|Installing Miniconda]] steps (and the //Post-Miniconda3 installation// section) we followed when installing CDAT 8.0 | + | ==== Installing Miniconda3 ==== |
| + | |||
| + | If //Miniconda3// is not already installed, or if you want to start over with a brand new version, read [[other:uvcdat:cdat_conda:miniconda3_install|JYP steps for installing Miniconda3]]. | ||
| - | ==== Updating conda ==== | ||
| - | The conda package itself can be updated (if need be) with\\ ''conda update -n base -c defaults conda'' | ||
| ==== Installing CDAT 8.2.1 ==== | ==== Installing CDAT 8.2.1 ==== | ||
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| === Pre-installation check with the dry-run option === | === Pre-installation check with the dry-run option === | ||
| - | <code>/usr/bin/time mamba install -n cdatm19_nompi_py3 --dry-run -c conda-forge basemap basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter | + | <code>/usr/bin/time mamba install -n cdatm19_nompi_py3 --dry-run -c conda-forge basemap basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal geopandas glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter |
| [... lots of information about what would be done followed by some information about how long it took ...] | [... lots of information about what would be done followed by some information about how long it took ...] | ||
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| === Actual installation === | === Actual installation === | ||
| - | <code>/usr/bin/time mamba install -n cdatm19_nompi_py3 -c conda-forge basemap basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter</code> | + | <code>/usr/bin/time mamba install -n cdatm19_nompi_py3 -c conda-forge basemap basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal geopandas glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter</code> |
| Resulting list of installed packages | Resulting list of installed packages | ||
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| * [[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 | ||
| * [[https://seaborn.pydata.org/|seaborn]]: statistical data visualization | * [[https://seaborn.pydata.org/|seaborn]]: statistical data visualization | ||
| - | * [[http://scikit-image.org/|scikit-image]]: image processing in Python | ||
| * [[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 | ||
| * [[https://pypi.python.org/pypi/gsw/|gsw]]: Python implementation of the Thermodynamic Equation Of Seawater | * [[https://pypi.python.org/pypi/gsw/|gsw]]: Python implementation of the Thermodynamic Equation Of Seawater | ||
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| * [[https://rpy2.readthedocs.io/en/version_2.8.x/|rpy2]]: providing simple and robust access to R from within Python | * [[https://rpy2.readthedocs.io/en/version_2.8.x/|rpy2]]: providing simple and robust access to R from within Python | ||
| * [[http://matplotlib.org/cmocean/|cmocean]]: beautiful colormaps for oceanography | * [[http://matplotlib.org/cmocean/|cmocean]]: beautiful colormaps for oceanography | ||
| - | * [[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://github.com/stefraynaud/spanlib|spanlib]]: Spectral Analysis Library | * [[https://github.com/stefraynaud/spanlib|spanlib]]: Spectral Analysis Library | ||
| * [[https://ajdawson.github.io/windspharm/latest/|windspharm]]: spherical harmonic wind analysis in Python | * [[https://ajdawson.github.io/windspharm/latest/|windspharm]]: spherical harmonic wind analysis in Python | ||
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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://jiffyclub.github.io/palettable/|Palettable]]: Color palettes for Python | * [[https://jiffyclub.github.io/palettable/|Palettable]]: Color palettes for 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. | ||
| + | * [[http://scikit-image.org/|scikit-image]]: image processing in Python | ||
| + | * [[https://scikit-learn.org/stable/index.html|scikit-learn]]: Machine Learning in Python | ||
| ==== Removed packages ==== | ==== Removed packages ==== | ||
other/uvcdat/cdat_conda/cdat_8_2_1.txt · Last modified: 2024/06/21 10:31 by jypeter
