open pycharm/preferences/project/Project Interpreter And check existing interpreter. Conda environments may already be listed there. If not exists, you can create a new conda environment with “Create Conda Env” button If you are looking for a specific conda environment you can use ‘add local’. When you click ‘add local’ you will input conda environment path + … Read more
I had faced the same problem. Simply running conda install anaconda solved the problem for me.
The short answer is that, in my experience generally, it doesn’t matter which you use. The long answer: So conda-forge is an additional channel from which packages may be installed. In this sense, it is not any more special than the default channel, or any of the other hundreds (thousands?) of channels that people have … Read more
Use the files $CONDA_PREFIX/etc/conda/activate.d and $CONDA_PREFIX/etc/conda/deactivate.d, where $CONDA_PREFIX is the path to the environment. See the section on managing environments in the official documentation for reference.
The answers are outdated. You simply have to conda install pip and git. Then you can use pip normally: Activate your conda environment source activate myenv conda install git pip pip install git+git://github.com/scrappy/scrappy@master
conda-env now does this automatically (if pip was installed with conda). You can see how this works by using the export tool used for migrating an environment: conda env export -n <env-name> > environment.yml The file will list both conda packages and pip packages: name: stats channels: – javascript dependencies: – python=3.4 – bokeh=0.9.2 – … Read more
TL;DR: Problem: Long install path Solution 1: Install the desired python package (in my case tensorflow) in the folder which has a shorter path (for example C:/my_py_packages/some_package) Solution 2: Set the registry value HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\FileSystem@LongPathsEnabled to 1 as mentioned here. Original answer: I got here by having this kind of error when I tried installing tensorflow … Read more
No native builds available Since Python 3.8 had been released for about a year when Apple Silicon hit the market, Python 3.7 builds for osx-arm64 were never part of the regular build matrix for Conda Forge. Workaround: Emulate Immediate alternatives for using 3.7 on Apple Silicon systems would be to emulate x86_64 with Rosetta or … Read more
Make sure to set the right environmental variables (https://github.com/conda/conda/issues/1744) Create a new environment for 32bit Python 2.7: set CONDA_FORCE_32BIT=1 conda create -n py27_32 python=2.7 Activate it: set CONDA_FORCE_32BIT=1 activate py27_32 Deactivate it: deactivate py27_32 Create one for 64 bit Python 3.5: set CONDA_FORCE_32BIT= conda create -n py35_64 python=3.5 Activate it: set CONDA_FORCE_32BIT= activate py35_64 The … Read more
Conda replaces virtualenv. In my opinion it is better. It is not limited to Python but can be used for other languages too. In my experience it provides a much smoother experience, especially for scientific packages. The first time I got MayaVi properly installed on Mac was with conda. You can still use pip. In … Read more