No, PyPI is not the issue. Instead, it fails because the YAML includes platform-specific build constraints, but you are transferring across platforms. Specifically, examining the build numbers on the failed packages (e.g., six=py36h0e22d5e_1), I can see that they correspond to packages from the osx-64 platform, but you are trying to install on a linux-64 platform, … Read more
You could try cloning root which is the base env. conda create -n yourenvname –clone root
I will disagree with the accepted response and note that pip install [some-pypi-package] is often the best way to install PyPi packages in Conda environments. While the packages won’t be managed by the Conda package manager, they will still be managed by the Anaconda environment. It will download the correct version of the package for … Read more
This is a tricky part of ipython / Jupyter. The set of kernels available are independent of what your virtualenv is when you start jupyter Notebook. The trick is setting up the the ipykernel package in the environment you want to identify itself uniquely to jupyter. From docs on multiple ipykernels, source activate ENVNAME pip … Read more
The following steps may work to resolve the issue. conda config –remove channels conda-forge conda config –add channels conda-forge if it doesn’t work then try this conda update conda if nothing works try seeing this github solution, it worked for many.
Try using conda env update: conda activate myenv conda env update –file local.yml –prune –prune uninstalls dependencies which were removed from local.yml, as pointed out in this answer by @Blink. Or without the need to activate the environment (thanks @NumesSanguis): conda env update –name myenv –file local.yml –prune See Updating an environment in Conda User … Read more
The first part of the build string (pyXX) of this package tells you the exact version of the Python interpreter that this package can be used for. Most likely, there are other packages for other versions of Python (py27, py35, etc.). The second part (after the underscore) tells you the build number of this package. … Read more
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
Don’t mix conda install and pip install within conda environment. Probably, decide to use conda or virtualenv+piponce and for all. And here is how you decide which one suits you best: Conda installs various (not only python) conda-adopted packages within conda environment. It gets your environments right if you are into environments. Pip installs python … Read more
Distilling the official directions from Apple (as of 13 July 2022), one would create an environment using the following YAML: tf-metal-arm64.yaml name: tf-metal channels: – apple – conda-forge dependencies: – python=3.9 ## specify desired version – pip – tensorflow-deps ## uncomment for use with Jupyter ## – ipykernel ## PyPI packages – pip: – tensorflow-macos … Read more