How to Fix Entry Point Not Found while installing libraries in conda environment
as it is suggested in here I could solve this problem by copying libssl-1_1-x64 dlls in Anaconda/DLLS to Anaconda/Library/bin (probably replacing it)
as it is suggested in here I could solve this problem by copying libssl-1_1-x64 dlls in Anaconda/DLLS to Anaconda/Library/bin (probably replacing it)
I got the same error and solved it by this: sudo env “PATH=$PATH” conda update conda
One way would be to conda list –export > exported-packages.txt And then edit that file to remove the last part of each package with the py27_0 parts (you might also want to remove the versions, in case some version of a package doesn’t have a Python 3 version). Then conda create -n py3clone –file exported-packages.txt … Read more
I was able to solve the issue following THIS instructions. Basically: * copy the following files from CONDA_PATH\Library\bin to CONDA_PATH\DLLs libcrypto-1_1-x64.* libssl-1_1-x64.*
I believe the answer to your main question lies in the difference between Anaconda vs Miniconda. Anaconda includes a long list of packages that get installed automatically into each environment that you create. Miniconda creates barebone conda virtual environments (which don’t contain many packages at all). Switching to Miniconda should substantially reduce the size/number of … Read more
activating a conda environment is not much more than applying settings to your shell to use a specific python interpreter (and the modules and libs associated to that interpreter) when you drop out of a conda environment, your shell reverts to the python interpreter determined by your $PATH environment variable — generally speaking, this default … Read more
There are at least three good options available today: Poetry uses pyproject.toml and poetry.lock files, much in the same way that package.json and lock files work in the JavaScript world. This is now my preferred solution. Pipenv uses Pipfile and Pipfile.lock, also much like you describe the JavaScript files. Both Poetry and Pipenv do more … Read more
Google has recently launched a newer version of TensorFlow r0.12 which include support of Windows both CPU and GPU version can now be installed using Python >=3.5.2 (only 64-bit) version. For CPU only version open command prompt and enter follow command pip install –upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-0.12.0rc0-cp35-cp35m-win_amd64.whl Follow this TensorFlow on Windows for step-by-step instructions. UPDATE To … Read more
Change the order from ~/.condarc so that defaults the first channel as channels: – defaults – conda-forge and add this line to it channel_priority: true or run the following code in command-line conda config –set channel_priority true then again run conda update –all Good Luck Edited for new versions of conda. According to conda doc … Read more
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