Translations:Anaconda/28/en: Difference between revisions

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* Anaconda very often installs software (compilers, scientific libraries etc.) which already exist on Compute Canada clusters as modules, with a configuration that is not optimal.  
* Anaconda very often installs software (compilers, scientific libraries etc.) which already exist on our clusters as modules, with a configuration that is not optimal.  
* It installs binaries which are not optimized for the processor architecture on our clusters.
* It installs binaries which are not optimized for the processor architecture on our clusters.
* It makes incorrect assumptions about the location of various system libraries.  
* It makes incorrect assumptions about the location of various system libraries.  

Latest revision as of 12:56, 13 September 2022

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Message definition (Anaconda)
* Anaconda installe très souvent des logiciels (compilateurs, bibliothèques scientifiques etc.) qui existent déjà sur les grappes de l'Alliance comme modules, avec une configuration qui n'est pas optimale.
* installe des binaires qui ne sont pas optimisés pour les processeurs de nos grappes.
* fait de mauvaises suppositions sur l'emplacement de bibliothèques.
* s'installe dans le <code>$HOME</code> par défaut, où il place une énorme quantité de fichiers. L'installation d'Anaconda seule peut prendre près de la moitié de votre quota sur le nombre de fichiers dans votre espace personnel.  
* est plus lent pour installer des paquets
* modifie <code>$HOME/.bashrc</code>, ce qui peut causer des conflits.
  • Anaconda very often installs software (compilers, scientific libraries etc.) which already exist on our clusters as modules, with a configuration that is not optimal.
  • It installs binaries which are not optimized for the processor architecture on our clusters.
  • It makes incorrect assumptions about the location of various system libraries.
  • Anaconda uses the $HOME directory for its installation, where it writes an enormous number of files. A single Anaconda installation can easily absorb almost half of your quota for the number of files in your home directory.
  • Anaconda is slower than the installation of packages via Python wheels.
  • Anaconda modifies the $HOME/.bashrc file, which can easily cause conflicts.
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