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Version 6.1 with Python 3.6.1 Anaconda (64-bit) #1654
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What version of OS do you have? I use this method on *nix all the time. |
This error was on Ubuntu 16.04.3 LTS 64-Bit. (running jupyterlab) |
I use ubuntu all the time, and don't usually run into problems, but it can
sometimes be tricky. Have you tried to install libgcc:
https://github.com/usnistgov/ChebTools#prerequisites ?
…On Sat, Feb 24, 2018 at 12:13 AM, Rene Dworschak ***@***.***> wrote:
This error was on Ubuntu 16.04.3 LTS 64-Bit.
other Win7 installation of coolprop over pip works well.
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To be absolutely sure you use the correpsonding pip for your python (and not the system pip), Also, compare the output of https://docs.python.org/3/installing/#work-with-multiple-versions-of-python-installed-in-parallel Also, this should be fixed once 6.2 is released: |
And/or you can provide the absolute path to pip executable
…On Mar 5, 2018 5:31 AM, "Matthis Thorade" ***@***.***> wrote:
To be absolutely sure you use the correpsonding pip for your python, could
you please also try
python -m pip ...
from the Anaconda prompt.
https://docs.python.org/3/installing/#work-with-
multiple-versions-of-python-installed-in-parallel
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from Ubuntu 16.04.3 LTS 64-Bit
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from WIN10
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That looks both good 👍 |
I added this ticket to Milestone 6.2, because the new release will include a Py36 package (and a source release as fallback). |
I have the same problem under Python 3.6 on Win10. Standard pip install only gives me 6.0.0. It’s like there’s no build wheel for 6.1.0 on Python 3.6.... If I want 6.1.0, I have to build my own from that git release tag. Grabbing the nightly 6.1.1dev build works fine, though. |
@henningjp Your error is different: The real soultion would be to publish a py36 package, either for Coolprop 6.1 or even better for 6.2. Until then, the recommended workaround is to use the nightly builds, and that should just work. |
Python 3.6 binary wheels are now being built on all platforms, and should be pip installable as of version 6.2 |
…e refer to https://github.com/CoolProp/Dockerfiles for details
…and CoolProp#1309. Please refer to https://github.com/CoolProp/Dockerfiles for details
The normal way..
only working install with...
conda install -c bryanwweber coolprop
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