When I try to update conda, I was told to execute conda update -n base conda, does this mean that the conda tool is installed in the base environment? Or the conda tool is installed out of any environment? Answer Yes. On all typical1 distributions it is always installed in the base environment.2 One can check all environments with the
Tag: miniconda
‘conda update –all’ yields different results on different machines
‘conda update -all’ yields different results on different machines: Old HP Laptop/Win10 ca 2007, fresh install of miniconda and a few packages, and update-all a few days ago. Versions: pandas, numpy, numba: (‘1.4.1’, ‘1.20.3’, ‘0.54.1’) Python 3.9.12 ipython 8.2.0 conda 4.12.0 2014 MacBook Air, older miniconda install, same packages, update -all today Versions: pandas, numpy, numba: (‘1.3.4’, ‘1.21.5’, ‘0.55.1’) Python
Jupyter Notebook in VS Code is not working
I’m using Ubuntu, installed Vs Code and anaconda. I’ve also installed python extension in VS Code, which brings Jupyter Notebook extension. Now, whenever I’m trying to run code from the Jupyter extension, its throwing error as if it requires ipykernel. Now, my conda ‘base’ environment has already ipykernel. Why cant Jupyter extension look for ipykernel from the current activated environment?
How can I activate conda venv in Dockerfile? (pip not found)
I’m trying to build a docker image like However, /bin/bash -c “source ~/.bashrc” does not work… so I got /bin/sh: 1: pip: not found How can I build a docker image installing miniconda and python requirements using pip at the same time? Answer I would recommend using a pre-existing Docker image that already has Anaconda installed. For example, this link