Edit: It’s worth mentioning pip here as well, as conda and pip have similarities and differences that are relevant to this topic. pip: the Python Package Manager. You might think of pip as the python equivalent of the ruby gem command pip is not included with python by default. You may install Python using homebrew, … Read more
you might want to try this: for anaconda 2 : export PATH=~/anaconda2/bin:$PATH for anaconda 3 : export PATH=~/anaconda3/bin:$PATH for anaconda 4 : Use the Anaconda Prompt and then conda –version to confirm that it worked. The export PATH=~/anaconda3/bin:$PATH works but stops when you exit the terminal in order change that you have to run sudo … Read more
Anaconda has not updated python internally to 3.6. a) Method 1 If you wanted to update you will type conda update python To update anaconda type conda update conda If you want to upgrade between major python version like 3.5 to 3.6, you’ll have to do conda install python=$pythonversion$ b) Method 2 – Create a … Read more
From the docs: To uninstall Anaconda open a terminal window and remove the entire anaconda install directory: rm -rf ~/anaconda. You may also edit ~/.bash_profile and remove the anaconda directory from your PATH environment variable, and remove the hidden .condarc file and .conda and .continuum directories which may have been created in the home directory … Read more
Try using conda env update: conda activate myenv conda env update –file local.yml –prune –prune uninstalls dependencies which were removed from local.yml, as pointed out in this answer by @Blink. Or without the need to activate the environment (thanks @NumesSanguis): conda env update –name myenv –file local.yml –prune See Updating an environment in Conda User … 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
You can install it using binstar: conda install -c menpo opencv
The easiest way I found is this: https://github.com/nteract/hydrogen/issues/922#issuecomment-405456346 Just open another (non-running, existing) notebook on the same kernel, and the issue is magically gone; you can again save the notebooks that were previously showing the _xsrf error. If you have already closed the Jupyter home page, you can find a link to it on the … Read more
As mentioned in the comments, conda support for jupyter notebooks is needed to switch kernels. Seems like this support is now available through conda itself (rather than relying on pip). http://docs.continuum.io/anaconda/user-guide/tasks/use-jupyter-notebook-extensions/ conda install nb_conda which brings three other handy extensions in addition to Notebook Conda Kernels.
Per the original docs: Choose Anaconda if you: Are new to conda or Python Like the convenience of having Python and over 1500 scientific packages automatically installed at once Have the time and disk space (a few minutes and 3 GB), and/or Don’t want to install each of the packages you want to use individually. … Read more