[Numpy-discussion] Managing Python with NumPy and many external libraries on multiple Windows machines
Charles R Harris
Mon Apr 27 16:59:21 CDT 2009
On Mon, Apr 27, 2009 at 3:05 PM, Wes McKinney <firstname.lastname@example.org> wrote:
> I am wondering if anyone can offer some suggestions on this problem. Over
> the last year or so I have been building a number of libraries on top of
> NumPy + SciPy + matplotlib and other libraries which are being used for
> investigative research for my company's problem domain in place of, say,
> Matlab and R (which are more "ready out of the box" systems). I have
> approximately 20 users, all of whom are running Windows on a very
> Microsoft-centric network with databases, etc. Has anyone had any luck
> managing a standardized Python environment on lots of Windows machines with
> a large number of 3rd-party Python libraries? Upgrading packages right now
> involves getting 20 people to click through an .exe installer, which is
> hardly a good solution. For example, I was recently forced to upgrade
> everyone's NumPy to 1.3 after I discovered that a DLL I had built against
> 1.3 was incompatible with 1.2.x.
Out of curiosity, what was the nature of the incompatibility?
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