![]() ![]() In Lab, you should see it listed as a notebook option on your Launcher. With notebooks, you can select it as a kernel when you create a new notebook. You should now see the new environment when you open Jupyter. In the active environment, type: ipython kernel install -user -name=envnameĮnvname can be anything, but I recommend using the same name as the environment so that it does not get too confusing. Jupyter Notebooks are a spin-off project from the IPython project, which used to have an IPython Notebook project itself. IPython comes with automatic reloading magic. Or if you want to use conda: conda install -c anaconda ipykernel Step 4: Install the new kernel Anaconda and Enthought allow you to download a desktop version of Jupyter Notebook. In the active environment, type: pip install ipykernel In the terminal: activate newenv Step 3: Install ipykernel ![]() Now that we have installed Jupyter Notebook, we are ready to run the notebook. Newenv is the name of your new environment. Anaconda conveniently installs Python, the Jupyter Notebook, and other. Using conda in your terminal, type: conda create -n newenv python=3.7 ![]() To create a new environment for Python 2, type the following command in an OS terminal: conda create -n py2 anaconda python2.7. For example, you can have a Python 2 distribution for the rare cases where you need to temporarily switch to Python 2. Ipython kernel install -user -name=envname Anaconda lets you create different isolated Python environments. This is a code snippet to allow you to use a Python environment within a Jupyter Notebook on Windows. You can install Ipython via pip( pip install ipython ) but we suggest installing IPython using the Python Anaconda distribution. ![]()
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