Install jupyter notebook to anaconda enviornment
Sometimes, we want separate environment with specific dependencies then custom environment is very. Once the appropriate environment is activated, you can create. To select an environment, use the Python: Select Interpreter command from the Command Palette ( Ctrl+Shift+P ).
By adding cell you can write code and then clicking on Run button produces output of your code as like below screenshot: Setup Custom Anaconda Environment. To work with Python in Jupyter Notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Jupyter package. That returns in my case for example: # conda environments: # base /Users/mb/anaconda3 websitedev /Users/mb/anaconda3/envs/websitedev websitedev2 /Users/mb/anaconda3/envs/websitedev2 worklab * /Users/mb/anaconda3/envs/worklab Use a conda environment in a Jupyter notebook Once you click on it, you will see new file with Untitled title. Note: to get a list of your environment, there is the command: conda env list To activate the environment called worklab. Since conda is installed in your system to create an environment (called for example hereafter worklab) use the following command: conda create -name worklab Let’s jump right into it and start by going inside your Jupyter notebook home page, go to New drop-down menu and then choose Terminal Start writing the following commands conda create -n myenv python3.7 You are welcome to change both the version of python that you want and the name of the environment.
INSTALL JUPYTER NOTEBOOK TO ANACONDA ENVIORNMENT INSTALL
To install conda go to Anaconda Individual Edition. Install Jupyter notebook in the Anaconda Launcher Launch Jupyter notebook from.