Translations:Anaconda/28/en

• 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.