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The WSL instance should automatically launch a window connected to the Notebook, but if that isn’t the case simply find the host address in the WSL terminal which looks something like this: “ and copy that into your browser of choice. This is pretty straight forward since Jupyter is native to Anaconda, so if you’re happy with the default Jupyter Notebook interface / environment then you’re already done! Simply launch a notebook by using the following command once you’ve activated your Anaconda environment: jupyter notebook Really well suited for data exploration and analysis!
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Jupyter is one of the go-to IDE for interactive cell-based code execution with Python and R. You’ve successfully set up a Windows Subsystem for Linux with Anaconda 3! Once activated, initiate a full update: conda update -allĤ - Done Once updated, lean back and gaze upon your creation and see that it is good…
INSTALL ANACONDA WINDOWS SUBSYSTEM FOR LINUX INSTALL
“~anaconda3/bin/activate” is default place that Anaconda will install itself but if you chose elsewhere simply point to that directory. NB: Use “bash Anaconda3–2019.03-Linux-x86_64.sh” if using ZSH and you’re running into problems.Īfter following the onscreen instructions to install Anaconda, simply remove the installation file: rm Anaconda3-2019.03-Linux-x86_64.shģ - Updating Anaconda Now you should be able to start up your Anaconda environment: source ~anaconda3/bin/activate Anaconda is one of the most widely used solutions for package management for R and Python, it comes with 1.500+ popular packages out of the box which is more than enough for 99% of all Data Science related tasks!ġ - Downloading Anaconda Start up your newly configured WSL and download Anaconda: wget Ģ - Installing Anaconda Next, execute the downloaded file to install Anaconda: Anaconda3-2019.03-Linux-x86_64.sh Install the Windows Subsystem for Linux (Ubuntu), ROOT, GRSISort, Geant4, GOSIA, GREMLIN, RadWare, NuShellX, and Anaconda (Spyder and Jupyter) - GitHub - UWCNuclear/UbuntuSetUp: Install the Window.