Hacker News Reader

This! Especially with pandas.

I did have a look at numpy and on my machine the tests did not bloat it as much as you made me believe. The `core/tests/` modules are 3MB and the `__pycache__` doubled it to 6MB. What do you refer to as "test case artifacts"? The modules, pycache, or both?

Also, wrt you statement on pandas; is it the debug symbols that account for the bloat, or the libs themselves?

View on HN

I cannot seem to remember which version exactly that was. I remember there were some test input/output files that weighted multiple MBs.

Just installed a quick "data science" like virtualenv, here is the example things I talk about:

$ du -sh scipy 110M scipy $ find scipy -type f -name '.so' -exec strip -s {} \; $ du -sh scipy 76M scipy

$ du -sh django/contrib/admin/locale/ 5.4M django/contrib/admin/locale/

Reply on news.ycombinator.com