Description des outils et procédures utiles à la formation LMDZ

Installation testée sur une installation Ubuntu 18.04

Before anything, to avoid run commands with "sudo"

sudo bash

1. Installations automatiques par apt

apt update
apt upgrade

# Base :
apt install -y csh ksh keychain ncftp vim vim-gnome xournal nfs-common # base
#### pas de pdfjam

apt install -y lftp
apt install -y synaptic gdebi # install paquets
apt install -y xfig grads imagemagick gv grace # graphique
apt install -y texlive-base texlive-latex-extra texlive-lang-french latexdiff texlive-publishers #LaTeX
apt isntall -y latexmk texlive-science
apt install -y latex2html
apt install -y texlive-extra-utils texlive-font-utils # pdfjam

apt install -y inkscape gimp # dessin
apt install -y unoconv # conversion associee a libreoffice
apt install -y qpdfview # un visualiseur remplissant mieux les pdf
apt install -y traceroute # aide systeme

# Pour compilation dont LMDZ
apt install -y cdo nco netcdf-bin libnetcdf-dev ncview # netcdf
apt install -y gfortran g++ libblas-dev subversion git # fortran et svn
apt install -y openmpi-common libopenmpi-dev openmpi-bin # openmpi
apt install -y gifsicle
apt install -y ekiga # conf renater

sudo snap install pdftk # Autre package de concatenation de pdf
apt install -y dos2unix

2. python

Not as root nor su

wget ​https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh

chmod +x ./Miniconda3-latest-Linux-x86_64.sh

./Miniconda3-latest-Linux-x86_64.sh

conda install netcdf4 h5py jinja2 pip sqlalchemy

conda install basemap matplotlib numpy scipy

sudo apt install -y python3-notebook jupyter jupyter-core python-ipykernel

conda create --name python2 python=2.7

conda create --name python3 python=3.7