You can import the module and check the module.__file__ string. It contains the path to the associated source file. Alternatively, you can read the File tag in the the module documentation, which can be accessed using help(module), or module? in IPython.
You can free some space with: conda clean –all clean Remove unused packages and caches. Conda already use symlinks when possible for packages. So, not much to improve here, I guess. Ok, thanks, but I would like to know “not for a specific environment, but in general” – for all environments. You can list all … Read more
The graphviz conda package is no Python package. It simply puts the graphviz files into your virtual env’s Library/ directory. Look e.g. for dot.exe in the Library/bin/ directory. To install the graphviz Python package, you can use pip: conda install pip and pip install graphviz. Always prefer conda packages if they are available over pip … Read more
You can just use pip for installing packages, even when you are using anaconda: pip install -U scikit-learn scipy matplotlib This should work for installing the package. And for Python 3.x just use pip3: pip3 install -U scikit-learn scipy matplotlib
To search for a specific package, use: conda search -f <package_name>. For example, based on the question, to search all versions for “jupyter” package, you’ll do: conda search -f jupyter. This will only return information about packages named “jupyter” exactly. Source: https://docs.conda.io/projects/conda/en/latest/commands/search.html
I found an easy way. Just follow below steps: in terminal, enter vim ~/.zshrc add source ~/.bash_profile into .zshrc file and then in terminal, enter source ~/.zshrc Congratulation for you!!! ㊗️ 🎉🎉🎉
You can update your python version to 3.8 in conda using the command conda install -c anaconda python=3.8 as per https://anaconda.org/anaconda/python. Though not all packages support 3.8 yet, running conda update –all may resolve some dependency failures. You can also create a new environment called py38 using this command conda create -n py38 python=3.8 Edit … Read more
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
As the comment at the top indicates, the output of conda list -e > requirements.txt can be used to create a conda virtual environment with conda create –name <env> –file requirements.txt but this output isn’t in the right format for pip. If you want a file which you can use to create a pip virtual … Read more
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