Hi, A number of Python applications (e.g. http://calibre-ebook.com/, http://www.psychopy.org/ ... http://en.wikipedia.org/wiki/List_of_Python_software#Applications) are deployed together with the libraries and interpreter that they will use.
Often, these applications are larger, and can end up performing operations that are computationally intensive. In the case of Calibre, e.g., large batch conversions from one book format to another can take more than an hour (for sufficiently large batches). This motivates a couple questions: 1) How difficult might it be, currently, to swap in PyPy[1] as the interpreter for, say, Calibre (http://calibre-ebook.com/download_linux)? (I am in the process of trying to do so presently, but the question is meant to be a bit more general) 2) Might these larger, interpreter-bundled applications be good targets for "high impact" deployments of PyPy? PyPy could, here, provide a tangible benefit without requiring any extra work by end-users, thereby potentially serving as a useful demonstration platform while quickly increasing PyPy usage. Leo [1] https://bugs.launchpad.net/calibre/+bug/977453
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