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I just downloaded Anaconda 4.2.0 (with python 3.5.2) for Mac OS X. Whenever I try to update any packages etc, my ipython console presents the package dependencies and displays "Proceed ([y]/n)?" but does not take any inputs. E.g. I press enter, or y-enter etc. and nothing happens. Here's an example:
!conda create -n graphlab-env python=2.7 anaconda Fetching package metadata ....... Solving package specifications: .......... Package plan for installation in environment /Users/Abhijit/anaconda/envs/graphlab-env: The following packages will be downloaded: package | build ---------------------------|----------------- python-2.7.12 | 1 9.5 MB _license-1.1 | py27_1 80 KB alabaster-0.7.9 | py27_0 11 KB anaconda-clean-1.0.0 | py27_0 3 KB . . . nbpresent-3.0.2 | py27_0 463 KB anaconda-4.2.0 | np111py27_0 6 KB ------------------------------------------------------------ Total: 143.9 MB The following NEW packages will be INSTALLED: _license: 1.1-py27_1 _nb_ext_conf: 0.3.0-py27_0 alabaster: 0.7.9-py27_0 anaconda: 4.2.0-np111py27_0 anaconda-clean: 1.0.0-py27_0 . . . yaml: 0.1.6-0 zlib: 1.2.8-3 Proceed ([y]/n)? It won't respond after this step. When I enter 'Ctrl-C' it breaks out of this loop. I have tried Shift-Enter, Alt-Enter, Ctrl-Enter, Cmd-Enter etc but no luck. Tearing my hair out over this. Am I missing something?
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For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data science.
pip is the default package manager that ships with python. Conda is also a package manager, but it is third party. Conda was made especially for data science libraries. Libraries installed with conda usually give much better performance than pip.
Installing conda packagesLog in as an admin user and open a Terminal in your Jupyter Notebook. If you already have a terminal open as an admin user, that should work too! Install a package! This installs the gdal library from conda-forge and makes it available to all users.
You can launch shell commands with the ! operator in ipython, but you can't interact with them after the process has launched.
Therefore, you could:
--yes flag. e.g.:!conda create -n graphlab-env python=2.7 anaconda -y
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