I had same problem and found your question googling for it. ResolvePackageNotFound error describes all packages not installed yet, but required. To solve the problem, move them under pip section: name: ex3 channels: – menpo – defaults dependencies: – cairo=1.14.8=0 – *** – another dependencies, except not found ones – pip: – gst-plugins-base==1.8.0 – bleach==1.5.0 … Read more
With Jupyter installed you get the list of currently installed kernels with: $ jupyter kernelspec list python2 /usr/local/lib/python2.7/dist-packages/ipykernel/resources testenv /home/{{user}}/.local/share/jupyter/kernels/sparkenv
Try to install PyTorch using pip: First create a Conda environment using: conda create -n env_pytorch python=3.6 Activate the environment using: conda activate env_pytorch Now install PyTorch using pip: pip install torchvision Note: This will install both torch and torchvision. Now go to Python shell and import using the command: import torch import torchvision
I had the same problem on Mac Mojave, and in my case run conda update –force conda first worked for me.
Usually this error, “PackageNotInstalledError: Package is not installed in prefix.” is because your custom environment doesn’t have the conda infrastructure. Instead, it is in your base only. To update the base environment: conda update –name base conda To see what version you have installed: conda list –name base conda example output of list; # packages … Read more
Use the ‘call’ command when activating/deactivating the environment. call activate [my_env] python my_script.py call conda deactivate See https://github.com/conda/conda/issues/794
The answer is here: https://github.com/conda/conda/issues/7980 source ~/anaconda3/etc/profile.d/conda.sh conda activate my_env Maybe you’re also using the wrong anaconda/miniconda path. Use the one which results from this command: conda info | grep -i ‘base environment’ 🙂
Now I have found the documentation: This is the documentation that explains how to generate R packages that are only available in the CRAN repository: https://www.continuum.io/content/conda-data-science Go to the section “Building a conda R package”. (Hint: As long as the R package is available under anaconda.org use this resource. See here: https://www.continuum.io/blog/developer/jupyter-and-conda-r) alistaire‘s answer is … Read more
You’ve answered your own question. In fact you really want to do conda install … instead of using pip if you can. You can install a conda package also without activating the environment. Just use conda install -n <env_name> <package> or conda install -p <path/to/env> <package>.
Please note that the following solution is not secure. See: https://conda.io/projects/conda/en/latest/user-guide/configuration/disable-ssl-verification.html according to @jreback here https://github.com/conda/conda/issues/1166 conda config –set ssl_verify false will turn off this feature, e.g. here