![]() ![]() Conda will figure out which sub-version of Python 3.x is the latest and most appropriate to solve the dependencies for all other packages in your target environment. The key is to learn in advance what packages you will likely need to use, and then specify those packages UP-FRONT when you create your conda environment, but leave the Python 3.x subversion "floating"). The answer above deserves provides one of the best answers that I have seen anywhere to deal with the time-consuming problem of package incompatibilities and waiting endlessly for conda solver sessions to finish. Retrying with flexible solve." comes fromĬonda install some-package hangs with (Solving environment: failed) The conda message "Solving environment: failed with initial frozen solve. I don't want to use pip install because it is preferred to use conda install.Īlso I tried installing using Anaconda Navigator following this answer, but the progress bar keeps hanging, saying "solving package specifications". Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.Ĭollecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. $ conda config -env -set channel_priority strictĬollecting package metadata (current_repodata.json): done $ conda config -env -add channels conda-forge I tried without creating an environment, after creating a new environment, using defaults channel and using conda-forge channel. I tried geopandas install guide, but get output that the solver runs forever. I have tried multiple ways but can't conda install packages (in my case, geopandas). ![]()
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