How can I update Python in the Anaconda base environment? Is Python intended to be upgradable in the base environment at all, or should one completely remove and reinstall Anaconda? Any version will eventually go out of support, so there should be some solution. What I have tried so far, and did not result in ..
So I already install mahotas with pip install mahotas but when I tried to run it seems that it didn’t work [I also try to reinstall it through conda-forge but it seems doesn’t work as well] Source: Python..
I’m running JupyterLab on MacOS and for some reason I get the following error when trying to switch virtual environments: bash-3.2$ conda activate yhoo CommandNotFoundError: Your shell has not been properly configured to use ‘conda activate’. To initialize your shell, run $ conda init <SHELL_NAME> Currently supported shells are: – bash – fish – tcsh ..
I have been running using a python 3.6 conda environment in my PyCharm projects for a while but recently installed a python 3.9 version through conda. I cannot find it as an interpreter option in PyCharm, I am only able to use conda environments for 3.7 or 3.8. When I run the docked python terminal ..
So I recently installed atom on my windows machine, and use conda through git bash. I am trying to get linter-flake8 to work in atom. I’ve installed it, and think I’ve correctly assigned the executable path in the linter-flake8 settings of atom /c/Users/myname/anaconda3/envs/myenv/Scripts/flake8 When I open git bash and activate myenv, I can run flake8 ..
According to the gh instructions, we can install the gh cli via conda using: conda install gh –channel conda-forge. I wonder if there is way to include it in the environment.yml file? So that I can auto install the packages while setting up the conda environment. name: conda_env channels: – defaults dependencies: – python>=3.8 – ..
I am trying to activate conda but getting error It says "Not a conda environment". This is my very first attempt in Machine learning. Please suggest me what I missed. Source: Python..
I have some conda virtual environments in a server I SSH into in a daily basis. Logging in from the terminal and listing the environments gives me the following: (base) [[email protected] ~]$ conda env list # conda environments: # fomc /home/rgr6291/.conda/envs/fomc r_conda /home/rgr6291/.conda/envs/r_conda rfe_paper /home/rgr6291/.conda/envs/rfe_paper base * /software/python-anaconda3/2019.10 So I have base and three virtual ..
I am using a MacBook Pro. I have my native zsh terminal configured to automatically activate a conda environment on startup. Within VS Code, if I create a zsh shell, this works perfectly fine. (I have set "terminal.integrated.inheritEnv": false as recommended in another post, which is why this works. However, when I run my code ..
So, as the title suggested I have run conda –clone base –name newenv when it’s finished, I checked the size of my newenv folder, and it’s 3.78 GB. Why is it taking up space at all? If conda is using some pointer references to the base packages, and I have not installed any new package, ..