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Comment by oddeyed | Hacker News Reader

It's really momentous that at LAST there is a Windows binary distribution available on PyPI. `pip install scipy numpy matplotlib` finally just works when you install Python on Windows.

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For years I used Gohlkes installers/wheels[0] to install a great deal of libs on windows easily, SciPy amongst them. For a few packages, it still is the best alternative.

[0] http://www.lfd.uci.edu/~gohlke/pythonlibs/

It's still a bit scary to me that one of the lynchpins of Python Data Processing remains, to some extent, to be this page.

Moreover, the builds are delivered over HTTP and the .whl are not signed ...

You only need it if you cannot use a *nix?

So a lynchpins for the Windows Python Data Processing community?

Sadly not everyone can live in a *nix environment. Supporting Windows developers is a pretty damn big lynchpin...

With the new Windows Subsystem for Linux from Windows 10 you can install Ubuntu over Windows from the Windows Store. It is perfect for Data Sciences.

I think Gohlkes should be rewarded for his work. I attribute his efforts to save hours on mine. Thank you for all you've done.

I wish he would let people help mirror them. Instead the links are all obfuscated and you cannot automate downloads which complicates installation.

Yes, the number of times I've run to BLAS/Lapack errors on Windows with Python were countless. I'm glad to see this has been fixed though I moved to Unix OSes a few years back.

could've installed anaconda though

Finally I can uninstall `miniconda` and use the official python+pip.

What’s wrong with anaconda? It’s a good distribution for the science stack.

I've pretty much given up on pip/pip-env on Windows. Anaconda has given me zero problems (even outside of scientific computing) and does everything that I wanted pip/pip-env to do, so I see no reason to switch back.

Even on *nix, anaconda is a godsend for those who don't have sudo and have to install everything in their home directories, without spending a godawful amount of time digging themselves out of dependency hell.

`pip install --user` has been working nicely for a while.

That only works for the python side of things, right?

that's a good point, because conda isn't just python.

Maybe I'm new, but I've not had problems with `venv/bin/pip install` either.

sure. if you have pip.

`python get-pip.py --user`, then... (via https://pip.pypa.io/en/stable/installing/#id4)

if only that had worked.

I used pip & virtualenv on linux constantly. On my new windows laptop, anaconda is preinstalled, so I thought I'd just use that, since I heard from everywhere that it was so good. I ran into issues with it requiring admin privileges or other windows permission issues.

I am no using python 3.6 (which comes with anaconda) create a venv with `python -m venv venv` and I couldn't be happier. Numpy and scipy wheels seem to work (although I needed an `--only-binary scipy` flag added, or something of the like).

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