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Created page with "* Anaconda very often installs software (compilers, scientific libraries etc.) which already exist on Compute Canada clusters as modules, with a configuration that is not opti..."
(Created page with "We are aware of the fact that Anaconda is widely used in several domains, such as data science, AI, bioinformatics etc. Anaconda is a useful solution for simplifying the manag...") |
(Created page with "* Anaconda very often installs software (compilers, scientific libraries etc.) which already exist on Compute Canada clusters as modules, with a configuration that is not opti...") |
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We are aware of the fact that Anaconda is widely used in several domains, such as data science, AI, bioinformatics etc. Anaconda is a useful solution for simplifying the management of Python and scientific libraries on a personal computer. However, on a cluster like those supported by Compute Canada, the management of these libraries and dependencies should be done by our staff, in order to ensure compatibility and optimal performance. Here is a list of reasons: | We are aware of the fact that Anaconda is widely used in several domains, such as data science, AI, bioinformatics etc. Anaconda is a useful solution for simplifying the management of Python and scientific libraries on a personal computer. However, on a cluster like those supported by Compute Canada, the management of these libraries and dependencies should be done by our staff, in order to ensure compatibility and optimal performance. Here is a list of reasons: | ||
* Anaconda | * 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. | ||
* | * 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 <tt>$HOME</tt> directory for its installtion, where it writes an enormous number of files. A single Anaconda installation can easily absorb almost half of your quota for the number of files in your home directory. | ||
* | * Anaconda is slower than the installation of packages via Python wheels. | ||
* | * Anaconda modifies the <tt>$HOME/.bashrc</tt> file, which can easily cause conflicts. | ||
== Comment transitionner de Conda vers Virtualenv == | == Comment transitionner de Conda vers Virtualenv == | ||