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other:uvcdat:cdat_conda:cdat_8_0_py2 [2019/03/04 10:01]
jypeter [cdat nightly case]
other:uvcdat:cdat_conda:cdat_8_0_py2 [2021/02/26 18:31]
jypeter Improved...
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 ==== Installing Miniconda3 ====  ==== Installing Miniconda3 ==== 
  
-We have installed a new version of Miniconda3 ​(steps below adapted from the [[other:uvcdat:​conda_notes#​installing_miniconda|installing miniconda]] instructions)+  * You don't need to be (and **you should not be**) //root// when you install Miniconda3. You just need enough disk space where you have write access 
 +  * If you are installing ​Miniconda3 ​in a Linux environment on a [[other:win10wsl|Windows 10 computer using Windows Subsystem for Linux (WSL)]], pay special attention to the instructions ​on the **WSL** lines
  
-  ​* Get the [[https://​repo.continuum.io/​miniconda/​Miniconda3-latest-Linux-x86_64.sh|Python 3.Linux 64-bit (bash installer)]] (unless there is a [[https://​conda.io/​miniconda.html|more recent version?​]]) +The steps below are adapted from the older (but with lots of extra and possibly useful details) [[other:​uvcdat:​conda_notes#​installing_miniconda|installing miniconda]] instructions 
-    * Find some temporary space on Linux or Windows + 
-      * Linux:''​cd /​home/​scratch01/​jypeter''​ +  ​* Get the [[https://​repo.anaconda.com/​miniconda/​Miniconda3-latest-Linux-x86_64.sh|Python 3.Linux 64-bit (bash installer)]] (unless there is a [[https://​conda.io/​miniconda.html|more recent version?​]]) 
-      * WSL: ''​cd /​mnt/​h/​Scratch/​jypeter/''​ (assuming that there is a ''​H:\Scratch\jypeter''​ directory) +    * Find some temporary space on Linux (or Windows, if you are using WSL) 
-    * ''​wget https://​repo.continuum.io/​miniconda/​Miniconda3-latest-Linux-x86_64.sh''​ (67 Mo15 Feb 2019)+      * e.g. Linux at LSCE:\\ ''​cd /​home/​scratch01/​<​your_login>​''​ 
 +      * e.g. WSLassuming that there is a ''​C:\Scratch\<​your_login>​''​ directory:\\ ''​cd /​mnt/​c/​Scratch/<​your_login>''​ 
 +    * Use ''​wget''​ to download the installer:​\\ ​''​wget https://​repo.anaconda.com/​miniconda/​Miniconda3-latest-Linux-x86_64.sh''​ (90 Mb26 Feb 2021)
   * Execute the installer   * Execute the installer
     * ''​bash Miniconda3-latest-Linux-x86_64.sh''​     * ''​bash Miniconda3-latest-Linux-x86_64.sh''​
       * Accept the license       * Accept the license
-      * Specify an explicit installation path **outside of the home directory**,​ with enough disk space (more than 3G if you are going to install ​UV-CDAT and some extra packages), preferably on a disk that is not backed up: +      * Specify an explicit installation path **outside of your //home// directory**,​ with enough disk space (more than 3 Gb if you are going to install CDAT and some extra packages), preferably on a disk that is not backed up: 
-        * Linux LSCE: ''/​home/​share/​unix_files/​cdat/​miniconda3''​ +        ​* Installations by //JYP//: 
-        * Linux ciclad: ''/​data/​jypmce/​cdat/​miniconda3''​+          ​* Linux at LSCE: ''/​home/​share/​unix_files/​cdat/​miniconda3'',​ or another subdirectory of ''/​home/​share/​unix_files/​cdat/​''​  
 +          * Linux on ciclad: ''/​data/​jypmce/​cdat/​miniconda3'',​ or another subdirectory of ''/​data/​jypmce/​cdat/​''​
         * WSL: installing to a directory that is not in ''/​home/''​ <wrap hi>does not work</​wrap>​ (e.g. ''/​mnt/​h/​CDAT/​miniconda3'',​assuming there is a ''​H:​\CDAT\''​ directory, does not work)\\ Need to accept the installation in the default location: ''/​home/​jypeter/​miniconda3''​         * WSL: installing to a directory that is not in ''/​home/''​ <wrap hi>does not work</​wrap>​ (e.g. ''/​mnt/​h/​CDAT/​miniconda3'',​assuming there is a ''​H:​\CDAT\''​ directory, does not work)\\ Need to accept the installation in the default location: ''/​home/​jypeter/​miniconda3''​
         * Resulting ''​miniconda3''​ directory size is 302M\\ <​code>​ >du -sh miniconda3         * Resulting ''​miniconda3''​ directory size is 302M\\ <​code>​ >du -sh miniconda3
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 Note: using hard links, cloning a full environment //only// adds an extra 582M of disk space Note: using hard links, cloning a full environment //only// adds an extra 582M of disk space
  
-<​code>​$ du -sh /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​* +<​code>​$ conda create -n cdatm17_py2 --clone cdat-8.0_py2
-2.8G    /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdat-8.0_py2 +
-$ conda create -n cdatm17_py2 --clone cdat-8.0_py2+
 Source: ​     /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdat-8.0_py2 Source: ​     /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdat-8.0_py2
 Destination:​ /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdatm17_py2 Destination:​ /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdatm17_py2
Line 288: Line 290:
  
 $ du -sh /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​* $ du -sh /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​*
-2.8G    /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdat-8.0_py2 +2.5G    /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdat-8.0_py2 
-582M    /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdatm17_py2+392M    /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdatm17_py2 
 +839M    /​home/​share/​unix_files/​cdat/​miniconda3/​envs/​cdat-nightly_py2
  
 </​code>​ </​code>​
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 ===== Getting ready for a moving default CDAT ===== ===== Getting ready for a moving default CDAT =====
 +
 +<note warning>​This step should probably be listed at the **end**, especially in a multi-user environment! If there is already a ''​cdatm''​ link, make sure that the new version is stable and working correctly before updating the ''​cdatm''​ link</​note>​
  
 We create a **//cdatm// symbolic link** in the ''​envs''​ directory, that has a //stable name// but can be moved to point to the latest default CDAT. In that case, most users can just activate this //cdatm// version and always get the latest stable version We create a **//cdatm// symbolic link** in the ''​envs''​ directory, that has a //stable name// but can be moved to point to the latest default CDAT. In that case, most users can just activate this //cdatm// version and always get the latest stable version
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 After cloning, we are ready to install some extra packages that may be requested by LSCE users After cloning, we are ready to install some extra packages that may be requested by LSCE users
 +
 +  * We first try to install together as many packages as possible that don't require other channels than //​conda-forge//,​ and that don't request a downgrade of what is already installed
 +  * We then install individual extra packages with ''​conda install''​ or ''​pip install''​
  
 <​code>#​ Keep a trace of what will be installed <​code>#​ Keep a trace of what will be installed
-bash-4.1$ conda install --dry-run -n cdatm15 ​-c conda-forge ​-c uvcdat -c pcmdi pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret basemap-data-hires ​pcmdi_metrics ​xlsxwriter ​cmor shapely cartopy ​rpy2 > /​home/​scratch01/​jypeter/​lsce-extra_01_install_170808.txt+$ conda install --dry-run -n cdatm17_py2 ​-c conda-forge pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret basemap-data-hires xlsxwriter ​cmocean ​rpy2 gdal windspharm  ​> /​home/​scratch01/​jypeter/​lsce-extra_01_install_190304.txt
  
 # Install... # Install...
-bash-4.1$ conda install -n cdatm15 ​-c conda-forge ​-c uvcdat -c pcmdi pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret basemap-data-hires ​pcmdi_metrics ​xlsxwriter ​cmor shapely cartopy ​rpy2+$ conda install -n cdatm17_py2 ​-c conda-forge pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret basemap-data-hires xlsxwriter ​cmocean ​rpy2 gdal windspharm
 [...] [...]
 +
 +# Install extra packages in the nightly version (if you need '​nightly'​)
 +$ conda install -n cdatm-nightly_py2 -c conda-forge pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret basemap-data-hires xlsxwriter cmocean rpy2 gdal windspharm
  
 # Check the disk space after installation # Check the disk space after installation
-bash-4.1$ du -sh /​home/​share/​unix_files/​cdat/​miniconda2 +$ du -sh /​home/​share/​unix_files/​cdat/​miniconda3 
-11G /​home/​share/​unix_files/​cdat/​miniconda2+7.5G    ​/​home/​share/​unix_files/​cdat/​miniconda3
  
-bash-4.1$ du -sh /​home/​share/​unix_files/​cdat/​miniconda2/envs/* +$ du -sh /​home/​share/​unix_files/​cdat/​miniconda3/envs/* 
-0 /​home/​share/​unix_files/​cdat/​miniconda2/​envs/​cdatm +2.5G    ​/​home/​share/​unix_files/​cdat/​miniconda3/envs/cdat-8.0_py2 
-2.8G /​home/​share/​unix_files/​cdat/​miniconda2/envs/cdatm14 +1.2G    ​/​home/​share/​unix_files/​cdat/​miniconda3/envs/cdatm17_py2 
-3.7G /​home/​share/​unix_files/​cdat/​miniconda2/envs/cdatm15 +938M    ​/​home/​share/​unix_files/​cdat/​miniconda3/envs/cdatm-nightly_py2 
-574M /​home/​share/​unix_files/​cdat/​miniconda2/envs/uvcdat-2.10 +450M    ​/​home/​share/​unix_files/​cdat/​miniconda3/envs/cdat-nightly_py2</​code>​
-2.0G /​home/​share/​unix_files/​cdat/​miniconda2/envs/uvcdat-2.8.0+
  
-# Check the disk space again after cleaning +List of installed packages: {{ :​other:​uvcdat:​cdat_conda:​lsce-extra_01_install_190304.txt |}}
-bash-4.1$ conda clean --all +
- +
-bash-4.1$ du -sh /​home/​share/​unix_files/​cdat/​miniconda2 +
-9.9G /​home/​share/​unix_files/​cdat/​miniconda2</​code>​ +
- +
-List of installed packages: {{ :​other:​uvcdat:​cdat_conda:​lsce-extra_01_install_170808.txt |}} +
- +
-Disk space used after adding the extra packages, in <wrap em>in the  new directory hierarchy</​wrap>​ (''​cdat/​miniconda2b'',​ on the obelix servers) +
- +
-<​code>​bash-4.2$ du -sh /​home/​share/​unix_files/​cdat/​miniconda2b  +
-6.4G /​home/​share/​unix_files/​cdat/​miniconda2b +
- +
-bash-4.2$ du -sh /​home/​share/​unix_files/​cdat/​miniconda2b/​envs/​* +
-0 /​home/​share/​unix_files/​cdat/​miniconda2b/​envs/​cdatm +
-3.8G /​home/​share/​unix_files/​cdat/​miniconda2b/​envs/​cdatm15 +
-630M /​home/​share/​unix_files/​cdat/​miniconda2b/​envs/​uvcdat-2.10 +
- +
-# Check the disk space again after cleaning +
-bash-4.2$ conda clean --all +
- +
-bash-4.2$ du -sh /​home/​share/​unix_files/​cdat/​miniconda2b +
-5.4G /​home/​share/​unix_files/​cdat/​miniconda2b</​code>​+
  
 Packages installed with //pip// Packages installed with //pip//
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     * Update with: ''​pip install %%--%%upgrade dreqPy''​     * Update with: ''​pip install %%--%%upgrade dreqPy''​
       * Get version number with:\\ <​code>​$ drq -v       * Get version number with:\\ <​code>​$ drq -v
-dreqPy version 01.00.06 [Version 01.00.06]</​code>​ +dreqPy version 01.00.29 [Version 01.00.29]</​code>​
-  * [[https://​github.com/​pierre-rouanet/​dtw|dtw]]:​ DTW (Dynamic Time Warping) python module +
-    * ''​pip install dtw''​ +
-    * Requested by Sentia Goursaud+
  
 The following packages have no dependency problems and were installed (or updated) //later// The following packages have no dependency problems and were installed (or updated) //later//
-  * [[http://​www.earthsystemmodeling.org/​esmf_releases/​non_public/​ESMF_7_0_0/​esmpy_doc/​html/​index.html|ESMPy]]:​ ESMF Python Regridding Interface 
-    * We used the following to get a more up-to-date version of esmpy than the one bundled with 2.10 
-    * <​code>​bash-4.1$ conda list | grep -i esm 
-esmf                      7.0.0                         ​6 ​   conda-forge 
-esmpy                     ​7.0.0 ​                   py27_1 ​   conda-forge 
  
-bash-4.1$ conda install -n cdatm15 ​-c nesii/​channel/​dev-esmf -c conda-forge esmpy=7.1.0.dev32 +  * [[http://​www.ifremer.fr/​vacumm/​|vacumm]]:​ Validation, Analysis, Comparison - Utilities written in Python to validate and analyze Multi-Model outputs, and compare them to observations 
-[...]+    * ''​conda install -n cdatm17_py2 ​-c conda-forge -c vacumm vacumm''​
  
-bash-4.1$ conda list | grep -i esm 
-esmf                      7.1.0.dev32 ​                  ​1 ​   nesii/​channel/​dev-esmf 
-esmpy                     ​7.1.0.dev32 ​             py27_1 ​   nesii/​channel/​dev-esmf</​code>​ 
-  * [[http://​matplotlib.org/​cmocean/​|cmocean]]:​ beautiful colormaps for oceanography 
-    * ''​conda install -n cdatm15 -c conda-forge cmocean''​ 
-  * [[http://​scitools.org.uk/​iris/​index.html|iris]]:​ A Python library for Meteorology and Climatology 
-    * ''​conda install -n cdatm15 -c conda-forge -c scitools iris''​ 
-  * [[http://​www.gdal.org/​|OSGeo/​GDAL]]:​ Geospatial Data Abstraction Library. GDAL is a translator library for raster and vector geospatial data formats 
-    * ''​conda install -c conda-forge gdal''​ 
-    * [[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
-    * ''​conda install -n cdatm15 ​-c stefraynaud -c conda-forge spanlib''​+    * ''​conda install -n cdatm17_py2 ​-c stefraynaud -c conda-forge spanlib''​
     * Test: ''​python -c 'from spanlib.analyzer import Analyzer'​ ''​     * Test: ''​python -c 'from spanlib.analyzer import Analyzer'​ ''​
-  ​* [[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 +   
-    * ''​conda install -n cdatm15 -c conda-forge wrf-python''​ +  * [[https://climaf.readthedocs.io/​en/​latest/|CliMAF]]: a Climate Model Assessment Framework 
-  * [[https://glances.readthedocs.io/​en/​stable/index.html|glances]]: a cross-platform monitoring tool (similar to ''​top''​) +    * [[other:uvcdat:cdat_conda:climaf_install|Installation notes]]
-    * ''​conda install -n cdatm15 -c conda-forge glances''​ +
-    * [[https://​github.com/​nicolargo/​glances|glances@github]] +
-  * [[https://​ajdawson.github.io/​windspharm/​latest/​|windspharm]]spherical harmonic wind analysis in Python +
-    * ''​conda install -n cdatm15 -c conda-forge windspharm''​ +
-    * [[https://​github.com/​ajdawson/​windspharm|windspharm@github]] +
  
 ==== TODO ==== ==== TODO ====
  
-//Add here packages that would be useful ​but 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://www.ifremer.fr/vacumm/|vacumm]]: Validation, Analysis, Comparison - Utilities written in Python ​to validate ​and analyze Multi-Model outputs, and compare them to observations +  * [[http://scitools.org.uk/iris/index.html|iris]]: Python ​library for Meteorology ​and Climatology 
-    * As of August 08 2017, installing vacumm in 2.10 requires downgrading to 2.10 (see [[https://​github.com/​VACUMM/​vacumm/​issues/​9|github issue]])! +    * ''​conda install -n cdatxxx ​-c conda-forge ​iris''​
-    * <wrap hi>​Problem solved</​wrap>​ with **vacumm 3.4.1-1** on August 31st! Installation was OK with\\ ​''​conda install -n cdatm15 ​-c conda-forge ​-c vacumm vacumm''​+
  
-  * Install PySPLIT for Sentia\\ ​[[https://github.com/mscross/pysplit|PySPLIT]] A package for generating HYSPLIT air parcel trajectories trajectories,​ performing moisture uptake analyses, expediting HYSPLIT cluster analysis, ​and for visualizing trajectories,​ clusters, ​and along-trajectory meteorological data\\ Works with [[https://ready.arl.noaa.gov/HYSPLIT.php|HYSPLiT]] +  * [[http://wrf-python.readthedocs.io/en/latest/|wrf-python]]collection of diagnostic ​and interpolation routines ​for use with output from the Weather Research ​and Forecasting (WRF-ARW) Model 
-    ​''​conda install -n cdatm15 ​-c conda-forge ​fiona geopandas''​ +    * ''​conda install -n cdatxxx -c conda-forge wrf-python''​ 
-    ​- ''​pip install pysplit''​+  
 +  * [[https://glances.readthedocs.io/en/​stable/​index.html|glances]]: a cross-platform monitoring tool (similar to ''​top''​) 
 +    ​''​conda install -n cdatxxx ​-c conda-forge ​glances''​ 
 +    ​* [[https://​github.com/​nicolargo/​glances|glances@github]]
  
 ==== Other packages ==== ==== Other packages ====
Line 449: Line 415:
  
   * [[https://​cmor.llnl.gov/​|CMOR]]   * [[https://​cmor.llnl.gov/​|CMOR]]
-    * Update with: ''​conda update -n cdatm15 ​-c conda-forge -c pcmdi -c uvcdat cmor''​+    * Update with: ''​conda update -n cdatxxx ​-c conda-forge -c pcmdi -c uvcdat cmor''​
       * Get version number with: ''​python -c 'from cmor import *; print CMOR_VERSION_MAJOR,​ CMOR_VERSION_MINOR,​ CMOR_VERSION_PATCH'​ ''​       * Get version number with: ''​python -c 'from cmor import *; print CMOR_VERSION_MAJOR,​ CMOR_VERSION_MINOR,​ CMOR_VERSION_PATCH'​ ''​
  
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     * Update with: ''​pip install %%--%%upgrade dreqPy''​     * Update with: ''​pip install %%--%%upgrade dreqPy''​
       * Get version number with: ''​drq -v''​       * Get version number with: ''​drq -v''​
 +
 +==== Installing CLIMAF ====
 +
 +The [[https://​climaf.readthedocs.io/​|CLIMAF]] installation is a special case, because we may want to use it with the Python installed for CDAT, but it is not installed using conda
 +
 +We follow the steps for the [[https://​climaf.readthedocs.io/​en/​latest/​installing.html#​installing-climaf-if-you-are-not-at-cnrm-on-ciclad-or-climserv|installation of a non-standard server]]
 +
 +  * Go to the appropriate installation directory (we choose the directory where we have also installed miniconda3):​
 +    * LSCE: ''​cd /​home/​share/​unix_files/​cdat''​
 +    * ciclad: ''/​data/​jypmce/​cdat/''​
 +  * ''​git clone https://​github.com/​senesis/​climaf climaf''​
 +  * Add CLIMAF to the PYTHONPATH environment variable
 +    * LSCE & tcsh: ''​setenv PYTHONPATH ${PYTHONPATH}:/​home/​share/​unix_files/​cdat/​climaf''​
 +    * LSCE & bash: ''​export PYTHONPATH=${PYTHONPATH}:/​home/​share/​unix_files/​cdat/​climaf''​
 +    * ciclad: same as above, using ''/​data/​jypmce/​cdat/​climaf''​
 +  * Test the installation
 +    * make sure the [[https://​climaf.readthedocs.io/​en/​latest/​requirements.html#​requirements|Requirements]] are available:
 +      * LSCE: ''​module load netcdf/4 nco cdo ncl ncview''​
 +      * ciclad: ''​module load netcdf4 nco cdo ncl/​6.3.0''​
 +      * optional: start an X server
 +      * <​code>​cd climaf/​testing
 +./​test_install.sh</​code>​
 +  * Once the tests are OK, add the required //module load// and environment variables definitions to the ''​.basrc''​ and ''​.cshrc''​ files. <wrap hi>Note: maybe these lines should go to the ''​.profile''​ and ''​.login''​ files...(check [[https://​www.gnu.org/​software/​bash/​manual/​html_node/​Bash-Startup-Files.html|Bash Startup Files]])</​wrap> ​
 +    * LSCE: add to your .cshrc
 +      * <​code>#​ Prerequisites for using CLIMAF
 +module load netcdf/4 nco cdo ncl ncview
 +
 +# CLIMAF environment variables
 +setenv CLIMAF /​home/​share/​unix_files/​cdat/​climaf
 +setenv PYTHONPATH "​${PYTHONPATH}:​${CLIMAF}"​
 +#setenv PYTHONPATH $CLIMAF
 +setenv PATH "​${PATH}:​${CLIMAF}/​bin"​
 +setenv CLIMAF_CACHE "/​home/​scratch01/​${USER}/​climaf_cache"​
 +setenv TMPDIR $CLIMAF_CACHE
 +setenv CLIMAF_LOG_DIR $CLIMAF_CACHE
 +
 +#conda activate cdatm-nightly_py2</​code>​
 +    * ciclad: add to your .bashrc
 +      * <​code>#​ Prerequisites for using CLIMAF when not using the 
 +# default '​module load climaf'​
 +module load netcdf4 nco cdo ncl/6.3.0
 +
 +# CLIMAF environment variables
 +export CLIMAF=/​data/​jypmce/​cdat/​climaf
 +#export PYTHONPATH=$PYTHONPATH:​$CLIMAF
 +export PYTHONPATH=$CLIMAF
 +export PATH=$PATH:​$CLIMAF/​bin
 +export CLIMAF_CACHE=/​data/​jypmce/​climaf_cache
 +export TMPDIR=$CLIMAF_CACHE
 +export CLIMAF_LOG_DIR=$CLIMAF_CACHE
 +
 +#conda activate cdatm-nightly_py2
 +</​code>​
 +  * Open a new shell and <wrap em>run the tests again</​wrap>​. If there is an error that was not there, check what you have added to the shell init files
 +  * [[other:​uvcdat:​cdat_conda:​climaf_test|Test CLIMAF on ciclad]]
  
 ==== Cleaning up things ==== ==== Cleaning up things ====
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 We check if some of the installed files are missing read access for the //group// or //other//, and we manually change the permissions We check if some of the installed files are missing read access for the //group// or //other//, and we manually change the permissions
-<​code>​(cdatm15) bash-4.2$ ​find cdatm15 \! -perm /g+r,o+r -ls +<​code> ​>find /home/share/unix_files/cdat/miniconda3/envs \! -perm /g+r,o+r -ls 
-50333969 ​   4 -rw------- ​  2 jypeter ​ lsce          234 Apr  4 20:35 cdatm15/lib/python2.7/site-packages/cdp-1.0.3-py2.7.egg-info/PKG-INFO +# Everything OK!</​code>​
-50333971 ​   4 -rw------- ​  2 jypeter ​ lsce          291 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp-1.0.3-py2.7.egg-info/​SOURCES.txt +
-50333962 ​   4 -rw------- ​  2 jypeter ​ lsce            4 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp-1.0.3-py2.7.egg-info/​top_level.txt +
-50333961 ​   4 -rw------- ​  2 jypeter ​ lsce            1 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp-1.0.3-py2.7.egg-info/​dependency_links.txt +
-50333960 ​   4 -rw------- ​  2 jypeter ​ lsce            1 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp-1.0.3-py2.7.egg-info/​not-zip-safe +
-50333987 ​   8 -rw------- ​  2 jypeter ​ lsce         5149 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_viewer.pyc +
-50333986 ​   8 -rw------- ​  2 jypeter ​ lsce         4208 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_metric.py +
-50333966 ​   4 -rw------- ​  2 jypeter ​ lsce          150 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​__init__.pyc +
-50333968 ​   4 -rw------- ​  2 jypeter ​ lsce          201 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_provenance.py +
-50333988 ​   8 -rw------- ​  2 jypeter ​ lsce         5365 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_metric.pyc +
-50333982 ​   4 -rw------- ​  2 jypeter ​ lsce         1821 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_parser.py +
-50333981 ​   4 -rw------- ​  2 jypeter ​ lsce         1773 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_parameter.py +
-50333973 ​   4 -rw------- ​  2 jypeter ​ lsce          670 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_output.py +
-50333980 ​   4 -rw------- ​  2 jypeter ​ lsce         1642 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_output.pyc +
-50333979 ​   4 -rw------- ​  2 jypeter ​ lsce         1474 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​_cache.pyc +
-50333967 ​   4 -rw------- ​  2 jypeter ​ lsce          187 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_tool.py +
-50333989 ​   0 -rw------- ​  2 jypeter ​ lsce            0 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​__init__.py +
-50333985 ​   4 -rw------- ​  2 jypeter ​ lsce         3843 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_viewer.py +
-50333984 ​   4 -rw------- ​  2 jypeter ​ lsce         2436 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_parameter.pyc +
-50333970 ​   4 -rw------- ​  2 jypeter ​ lsce          288 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_io.py +
-50333974 ​   4 -rw------- ​  2 jypeter ​ lsce          692 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_tool.pyc +
-50333978 ​   4 -rw------- ​  2 jypeter ​ lsce          878 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_io.pyc +
-50333976 ​   4 -rw------- ​  2 jypeter ​ lsce          734 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​_cache.py +
-50333983 ​   4 -rw------- ​  2 jypeter ​ lsce         2269 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_parser.pyc +
-50333975 ​   4 -rw------- ​  2 jypeter ​ lsce          724 Apr  4 20:35 cdatm15/​lib/​python2.7/​site-packages/​cdp/​cdp_provenance.pyc +
-(cdatm15) bash-4.2$ chmod -R a+r cdatm15/​lib/​python2.7/​site-packages/​cdp* +
-(cdatm15) bash-4.2$ find cdatm15 ​\! -perm /g+r,o+r -ls</​code>​+
  
  
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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://​scitools.org.uk/​iris/​index.html|iris]]:​ A Python library for Meteorology and Climatology 
   * [[http://​www.gdal.org/​|OSGeo/​GDAL]]:​ Geospatial Data Abstraction Library. GDAL is a translator library for raster and vector geospatial data formats   * [[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
-  * [[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 
-  * [[https://​glances.readthedocs.io/​en/​stable/​index.html|glances]]:​ a cross-platform monitoring tool (similar to ''​top''​) 
   * [[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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 ^  Environment\\ name  ^  Server ​ ^  ''​conda list'' ​ ^ ^  Environment\\ name  ^  Server ​ ^  ''​conda list'' ​ ^
- ​uvcdat-2.10  ​|  LSCE  |  ​{{  ​|package list}} ​ | +cdat-8.0_py2 |  LSCE  | | 
- ​cdatm15  ​|  LSCE  |  ​{{ ​|package list}} ​ |+| cdatm17_py2 |  LSCE | 
 +cdat-nightly_py2 ​|  LSCE\\ ciclad ​ | | 
 +| cdatm-nightly_py2 |  LSCE\\ ciclad ​ | |
  
 /* standard page footer */ /* standard page footer */
other/uvcdat/cdat_conda/cdat_8_0_py2.txt · Last modified: 2021/02/27 13:55 by jypeter