I have done the above, and can verify it works seamlessly. It is best to install all packages at once, so that all of the dependencies are installed at the same time. Use the conda install Command on the Anaconda Command Prompt. Once you've done this, running the command conda install anaconda will pull down the latest release of the Anaconda platform, from your internal repository. This tells conda to get packages from your local repo, rather than the public Continuum one. condarc file with this template, supplying your internal web server like: channels: Specific to your case: conda install -c conda-forge -n tensorflow.Python: python3.7 python3.7-config python3.7m python3.7m-config python3.9 python3.9-config. ![]() Once the installation is done, a new executable will be created for python 3.9 and pip 3.9 will be created. ) to discover all the files, GET them and put onto your internal webserver. Note: A second install equals an Override. Instead, you can download the python 3.9 executable and install it. ![]() ![]() condarc file.Ĭhoose a web server, and put the files referred to in the public repository (above) in there, with identical directory structure (but you don't need the /pkgs/free/ part). Create a HTTP server and copy all the content from.
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