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Comment by easytiger | Hacker News Reader

Build & installation from scratch is far too complex. Relies on fortran libraries of numpy which I can't get built inside my corporate domain

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Why is that panda's problem? If you have scipy and numpy installed, it's just sudo pip install pandas....

Just FYI, when 'sudo pip install pandas' doesn't work (which it didn't for me recently), you'll get no love upstream:

https://github.com/pydata/pandas/issues/7517

As @mynegation notes, you can use Anaconda (or virtualenv).

You can't do that in a closed envrionment

> You can't do that in a closed envrionment

This is the real killer. Any leads on making it less closed?

Also, I'm unfamiliar with how pip works, but you can't even install into your local user profile (i.e. w/o root)?

Use Anaconda Python distribution (https://store.continuum.io/cshop/anaconda/). Comes bundled with pandas, numpy, scipy (and much more). Does not require admin privileges. Updates and installations do not require working compiler (binary packages for your platform are downloaded).

Thanks. Tried this and couldn't get it to run on RH5.5

What issue did you have? Please email info@continuum.io with the information - we would love to know more about your problem and help you resolve it.

Sometimes, even when installing to a local virtual environment, if there are required libraries that require, for example a Fortran compiler, you'll need to install that on the system.

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