conda package issue: Windows, Python3.6
See original GitHub issueDescription
“UnsatisfiableError” when installing librosa from conda-forge, on Python 3.6-Windows environment
Steps/Code to Reproduce
Running anaconda on Windows 10, in a Python 3.6 environment, trying to install librosa in this environment:
> conda info -c conda-forge librosa
Actual Results
UnsatisfiableError: The following specifications were found to be in conflict:
- librosa -> python 3.4*
- python 3.6*
Use "conda info <package>" to see the dependencies for each package.
This is particularly strange, since I am able to install the package on a Python 3.5 anaconda environment, even though the error seems to indicate that it need Python 3.4. Was the wrong file uploaded for 3.6?
Versions
> conda list
...
python 3.6.1 2
...
Issue Analytics
- State:
- Created 6 years ago
- Comments:9 (5 by maintainers)
Top Results From Across the Web
conda install <package> upgraded python3.5 to ... - GitHub
I have experienced a potential problem that I think is related. I installed Conda 3.5 on Windows 10. Then I opened the Anaconda...
Read more >conda install python=3.6 UnsatisfiableError - Stack Overflow
I'm trying to upgrade to Python 3.6 but I'm getting the below error when I try to run conda install python=3.6 : UnsatisfiableError:...
Read more >Troubleshooting — conda 22.11.1.post13+5eef286ca ...
Occasionally, an installed package becomes corrupted. Conda works by unpacking the packages in the pkgs directory and then hard-linking them to the environment....
Read more >Anaconda Distribution
Conda is an open-source package and environment management system that runs on Windows, macOS, and Linux. Conda quickly installs, runs, and updates packages...
Read more >Installation - SciPy
With pip or Anaconda's conda, you can control the package versions for a specific project to prevent conflicts. Conda also controls non-Python packages,...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Looks like it worked! Thanks so much. This is a great convenience to have!
Thanks for the quick response. It wouldn’t be a show stopper for the course, since conda-installing ffmpeg takes care of the “hard part” - it would just be nice to avoid wrangling pip in the course 😃