I uninstalled anaconda since I was having issues creating environments. I did this using add/remove programs (windows) but now there seems to be some files left. And it's not possible to install anaconda in the same location. Any ideas on how I can remove the remaining files so I can reinstall in the same location (i.e c:/users/imantha)
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In changing the symlink to V3.11.1, I've "lost" access to all Python packages installed under 3.8.8. Aanconda can't find any modules either, either under 3.8 or 3.11 and won't let me reinstall Anaaconda.
At the terminal prompt, I can get to V3.11.1 via Python3 command (not Python) and can see a list of modules but none of the packages previously installed. Tried to reinstall Anaconda but the installer says to upgrade instead. When I try to upgrade at the system prompt, "conda" isn't recognized.
I'm know my references are all messed up but not sure how to get my environment working. Appreciate any help/suggestions.
I uninstalled Spyder using "pip uninstall spyder" inside a Python environment where it was installed, and then removed all folders in site-packages that had Spyder in its name, and rebooted the system. After reinstalling Spyder again, all the previous files were still available in the tab menu. My question is, how do I completely remove a package so there is no trace left of it. In order to do a clean installation.
Because of the size of the installed pip packages , I moved the ~/.local/lib/python3.6 directory to another partition and then made a symlink(a.k.a shortcut for windows users) to it , and that had been worked fine.
But recently I installed a newer linux distribution which has python3.8 pre-installed and I want to re-use those python3.6 packages(since the minor version is the same) to obviate the need of re-installing them.(almost 3.5 GB)
I made a symlink (~/.local/lib/python3.8/ which is the exact name that pip creates itself) to /path/to/external/lib/python3.6 , but now python shell is unable to recognize those packages.
Any ideas?
Do I need to re-install them?
Thanks.
These projects have to be reinstalled. There is no compatibility guarantee between minor versions (or major obviously), only between maintenance versions.
I have conda 4.8.1 running on windows 10 enterprise edition and it is showing me following error whenever I try to install notebook.
InvalidArchiveError("Error with archive D:\\Miniconda3\\pkgs\\notebook-6.0.2-py37_0ujelie94\\pkg-notebook-6.0.2-py37_0.tar.zst. You probably need to delete and re-download or re-create this file. Message from libarchive was:\n\nCan't create '\\\\?\\D:\\Miniconda3\\pkgs\\notebook-6.0.2-py37_0\\Lib\\site-packages\\notebook\\static\\components\\MathJax\\extensions\\a11y\\invalid_keypress.mp3'")
I have tried different versions of notebook and reinstalled anaconda and miniconda many times. Nothing seems to work.
I had the same problem on Ubuntu 18.04, I used conda clean -a and then it works perfectly.
Actually what conda clean -a does is cleaning the compressed .bz files and deleting older versions of package folders and does nothing to the new ones.
P.S.: Make sure you installed Anaconda or Miniconda into a directory that contains only 7-bit ASCII characters and no spaces, such as C:\anaconda!
I've recently had to do a fresh install of windows and reinstall all the software I was previously using including anaconda.
I still have all the data from before the reinstall. To save me from pip installing all the packages I was using, I thought it would be easier to copy and paste the environment info from pre windows reinstall (left image) into the environment folder of the freshly installed anaconda (right).(Information/Folders in question)
I'm getting this error message when I try to launch Spyder.
Juypter notebook seems to be working fine but I get the error shown when I attempt to launch Sypder in the 'imported environment' TensorFlow1.8CPU.
Can anyone tell me how to resolve this?
I'm also open to hear any other ways of importing the environment from pre windows install anaconda folder.
I solved this problem by installing spyder with a lower version.