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Adding existing Anaconda environment to Jupyter notebook

In this post we are going to take a look at adding Anaconda environment to Jupyter notebook.

Recently, I was working on a CSV file and wanted to work with Pandas package for tabular data manipulation using Python.

The problem was even if I install Pandas package, I would have to install other Data Science package as needed. But, the Anaconda environment was already setup on my laptop, which I want to reuse.

 

Today, we will look into how to reuse the Anaconda environment within the Jupyter Notebook.

 

There are 4 basic steps to be followed for adding the environment:

1. Create a conda environment

Go to Conda command prompt(Run in Admin mode)

Run the following command:

conda create –-name newenv

O/P:


 

What if there is an existing conda environment?

Go to Conda command prompt(No need for Admin mode)

Run the following command:

conda env list

O/P:


Since there was only one environment, only one entry was displayed. ‘*’ indicates the current environment.

 
2. Activate the new or existing environment

Go to Conda command prompt(Run in Admin mode)

Run the following command:

conda activate base

O/P:


 
3.  Install IPykernel and the bellow command

Go to Conda command prompt(Run in Admin mode)

Run the following command:

conda install -c anaconda ipykernel – Note -c option specifies the location to download the package from Reference

O/P:

Package will be installed. Select option ‘y’ if asked

 
4.  Run the Python -m command to make the env available in Jupyter notebook

Note: The Env should be activated before running this command

 

Go to Conda command prompt (Run in Admin mode)

Note: Python ipykernel options


Run the following command:

python -m ipykernel install  -–user  -–name=newenv

 

O/P:


 
5. Go to Jupyter notebook and refresh the Homepage to get the new env


 
Last thoughts

Be mindful of the environment you select when creating a new notebook in Jupyter. The environment name is listed at the top of the notebook.

 
My Opinion

The process to link the Anaconda environment to Jupyter is quite easy. If at any point you do not understand the command use ‘--help’ option after the command to list more details.

Else, you can enclose the command in double inverted commas and search on google for getting relevant results.

 

Thank you!!













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Location: Toronto, ON, Canada

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