Re: [PLUG] question about python code on windows vs. linux, hopefully no

Re: [PLUG] question about python code on windows vs. linux, hopefully not too off topic

On Fri, Feb 5, 2021, 3:48 PM Fred Stluka <fred@bristle.com> wrote:

Michael,

Glad to hear it! I figured it had to be something about the
environment. Wasn't a library or a driver though? What was it?

--Fred
------------------------------------------------------------------------
Fred Stluka -- http://bristle.com -- Glad to be of service!
Open Source: Without walls and fences, we need no Windows or Gates.
------------------------------------------------------------------------

On 2/5/21 3:15 PM, Michael Lazin via plug wrote:
> Thanks for the detailed response. I managed to get it working by
> making a small environmental change to my work computer. I have it
> working now. Thanks again for your help.
>
> On Fri, Feb 5, 2021, 2:53 PM Fred Stluka <fred@bristle.com
> <mailto:fred@bristle.com>> wrote:
>
> Michael,
>
> I worked in Python for about 4 years. Our team was able to
> confidently assume that all code would behave the same on
> our Mac laptops and our Linux servers. Never a problem.
> We developed on one and deployed fearlessly on the other
> for 4 years.
>
> We also used the Django Web framework which includes an ORM
> (Object Relation Mapping) that maps Python objects to relational
> DB tables. We were able to confidently assume that all code
> would behave with same with MySQL, SQLite, and MS SQL Server.
> We used Django to automatically pull all the data and table defs
> from MS SQL Server and push them to MySQL when migrating
> from an older system. And we used SQLite (for speed) to run all
> of our automated regression tests as part of our automated build,
> before deploying confidently on MySQL. Never a problem.
>
> We had one team member who tried using Windows for a while,
> before I broke down and just bought him a Mac to make our lives
> easier. On Windows, things worked mostly the same, but we had
> to install different versions of some of the libraries, especially
> drivers for DB access. And we had all sorts of problems when
> Windows users tried to cut/paste Microsoft-specific non-Unicode
> chars from apps like MS Word and Outlook into the web app.
>
> Generally speaking, the folks in the on-line support forums were
> VERY friendly and helpful. See:
> - https://mailman.aps.anl.gov/mailman/listinfo/python-users
> <https://mailman.aps.anl.gov/mailman/listinfo/python-users>
> - https://docs.djangoproject.com/en/dev/internals/mailing-lists/
> <https://docs.djangoproject.com/en/dev/internals/mailing-lists/>
>
> But they did get a little frustrated with Windows users asking
> about problems that only occurred on Windows.
>
> Your description is a little vague. What specific problems are you
> seeing?
>
> I'm guessing that your problem is caused by differing libraries or
> DB drivers on the 2 computers. Do you have a good way to take
> a complete inventory of each environment, so you can compare
> them?
>
> Are you using virtualenv? It's a VERY lightweight way to set
> up multiple Python environments side-by-side on the same
> computer. I suggest you use it to create a fresh new Python
> environment on both of your computers. Doesn't require any
> special privileges. Any user can do it in their own folder in
> their own home directory. VERY easy to set up and HIGHLY
> recommended by Python folks for ALL projects.
>
> As I said to Walt Mankowski on this list a couple years ago.
>
> > Keep in mind that Python virtual environments are astonishingly
> > lightweight. Much, much, much simpler than you might expect.
> > I dodged them for a little while, as one more complication that
> > I didn't yet need. Not true. Really simple and really useful. I
> > now use them for EVERY Python project, no matter how small.
> >
> > As I explained to a friend recently...
> >
> > Not like a heavy "virtual machine", VM, that you'd get from
> > VMware, AWS, etc. That's a whole OS running in a hypervisor.
> >
> > Not like a lighter, but still heavy "container" that you'd get from
> > Docker. That's a containerized set of files, containing everything
> > except a copy of the OS.
> >
> > A Python "virtual environment" is VERY simple. A directory, a
> > change to your PATH and to another environment variable or
> > two. All installs of Python libraries, add-ons, etc., go in the
> > directory tree and the right version of Python and that tree get
> > found via the PATH and env vars.
> >
> > Astoundingly useful and lightweight. Can have as many
> > different virtualenvs as you like, each in its own folder. To
> > "uninstall" one, just delete the folder. Use the generated
> > "virtualenv" (or venv or pyenv) command to create them. It
> > also generates "activate" and "deactivate" scripts (or Windows
> > BAT files) to switch from one virtualenv to another.
> >
> > Here's a page that explains how simple virtualenvs are:
> > -
> https://www.recurse.com/blog/14-there-is-no-magic-virtualenv-edition
> <https://www.recurse.com/blog/14-there-is-no-magic-virtualenv-edition>
>
> BTW, yes, PyCharm is the best of breed IDE for Python. MUCH
> better than any other tool for editing, viewing, and debugging
> Python code. I'm a HUGE fan of FOSS, but PyCharm is one of
> the few proprietary tools that I'm happy to buy and use.
>
> Good luck!
> --Fred
> ------------------------------------------------------------------------
> Fred Stluka -- http://bristle.com <http://bristle.com> -- Glad to
> be of service!
> Open Source: Without walls and fences, we need no Windows or Gates.
> ------------------------------------------------------------------------
>
> On 2/5/21 1:56 PM, Michael Lazin via plug wrote:
> > I am trying to do some automation using PyCharm and python on my
> work
> > computer, which runs windows. I am getting unusual behavior in my
> > code when I run it on my work computer. I run the same code with
> the
> > same libraries installed on PyCharm on my personal computer and the
> > results are different. Does anyone have a rational explanation for
> > this? I am new to python programming. I imagine that it is in the
> > realm of possibility that there may be a rational explanation
> for why
> > the same code with the same libraries using similar data sets would
> > have radically different behavior. I am running Ubuntu Mate
> 20.04 on
> > my personal computer. Any explanation would be appreciated.
> >
> > Thanks,
> >
> > Michael Lazin
> >
> > to gar auto estin noein te kai ennai
> >
> >
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