- #Install jupyter notebook with anaconda how to#
- #Install jupyter notebook with anaconda software#
- #Install jupyter notebook with anaconda download#
- #Install jupyter notebook with anaconda mac#
One of those tools is jupyter notebook that will be used to run python code. Open Anaconda navigation to check the tools that it provides:
#Install jupyter notebook with anaconda how to#
General details of how to install Anaconda, can be found here Anaconda - Usage on the middle of the page click on Linux follow the instruction on the page Linux
#Install jupyter notebook with anaconda download#
download "Python 3.7 version" 32-bit or 64-bit. on the middle of the page click on Windows follow the instructions on either of these pages: on the middle of the page click on macOS To overcome the issue of outdated and/or multiple versions of python, we will use anaconda to install python version 3.x, and to run jupyter notebooks (explained later).
#Install jupyter notebook with anaconda mac#
Python is already installed on MAC and Linux machines. my_notebook.(Acknowledgment: This is a slightly modified version of instructions by Faras Sadek of SEAS Computing) Python # To obtain it, the first time you upload a file to Github (e.g. # secret_gist_string is the string already associated with a particular file on Github
# First, install gist gem locally at dellaĮcho ‘export PATH=$PATH:/PATH/TO/HOME/.gem/ruby/1.8/bin/’ > ~/.bashrc I’ll repeat the post: upload-a-gist-to-github-directly-from-della for convenience: # to some princeton server, then again to DellaĪfter you’ve set everything up, you can upload the ipython notebook to gist for sharing with others. # may have to forward the same port from your home computer
# from outside the Princeton CS department, you # note that if you are trying to access Della Ipython notebook -ip=127.0.0.1 -profile=profilename -port That’s it! You can double check what packages you have by running:Īfter this, the steps for having the notebook serve the notebook to your local browser is identical to the previous post. Now, since we are using the conda package version of pip, by simply running,Ĭonda will integrate these packages into your environment. But you should be set for most use cases.) Don’t forget to specify them when needed. (But sometimes you might need to specify the default versions of programs that are on della, especially for distributing jobs to other users, etc. It also modifies the PATH for you so that you don’t have to worry about that yourself. Conda will install a set of basic packages (including python 3.5, conda, openssl, pip, setuptools, only to name a few useful packages) under the package you specify, or the default directory: It indeed is preferable to follow their instructions. The recommended way for setting up a conda system is by installing
# Note that pip installing conda is not the recommended way for setting up your Use 'conda create -nĮnvname' to create a conda environment and 'source activate envname' to Note: I initially tried using the easy_install way of installing conda, only to run into the following error:Įrror: This installation of conda is not initialized. Then, scp the Miniconda installer to your Della local directory (e.g. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software.Īnd download the latest Linux x86-64 version, namely:
#Install jupyter notebook with anaconda software#
It sets up a lot of packages (including Python 3, instead of the archaic 2.6 that Della runs you have to module load python as Ian does in his post in order to load 2.7) and manages them seamlessly, without having to worry about what package is in what directory.Ĭonda is an open source package management system and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them. So any IPython notebook that I create and work on in my local directory will simply not work in Della, which is quite annoying.Īlso, I think there is a lot of benefit to setting up and using Anaconda in my Della directory. However, when I was trying to sync the notebooks between the copies on my local machine and Della, I found out that the version of IPython on Della is the old 2.3 version, and that IPython is not backward compatible. Thanks to Ian’s previous post, I was able to set up IPython notebook on Della, and I’ve been working extensively with it.
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