Here is the code that uses pip to do the installation in a Conda environment: conda create -n env_name python=3.8Ĭonda install pandas scikit-learn matplotlib notebook #installing usual Data Science packages that does include numpy and scipy Pip is the recommended way to install latest version of tensorflow as per tensorflow's installation instructions - "While the TensorFlow provided pip package is recommended, a community-supported Anaconda package is available." Is there a conda command with the right parameters to get tensorflow installed successfully?Įxpanding upon William's answer here with more explicit instructions and caveats. The following specifications were found to be incompatible with your CUDA driver: Note that conda will notĬhange your python version to a different minor version unless you explicitly specify Not available for the python version you are constrained to. When python appears to the right, that indicates that the thing on the left is somehow If python is on the left-most side of the chain, that's the version you've asked for. To be incompatible with the existing python installation in your environment: The error message that I received is shown below UnsatisfiableError: The following specifications were found I ran the command below conda install tensorflow-gpu Tensorflow failed to be installed successfully in this version. In past versions of anaconda, tensorflow was installed successfully. Recently, I upgraded to Anaconda3 2020.07 which uses python 3.8.
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