Introduction

Jupyter Notebook is a web-based interactive platform for exploring data features and developing models widely used by data scientists and machine learning engineers. It's a type of document that contains code and its output as well as visualizations, narrative text, mathematical equations, and other rich media. By using Notebook, we can streamline our workflow, communicate more effectively, and share our results easily.

Installing Jupyter Notebook

Getting started with Jupyter Notebook is easy if you install Anaconda.

• Prepare Directory

mkdir -p ~/tools/ananconda/ && cd ~/tools/ananconda/

• Download Anaconda

curl https://repo.anaconda.com/archive/Anaconda3-2021.11-Linux-x86_64.sh -o anaconda.sh

• Install Anaconda

exec bash && chmod +x anaconda.sh && ./anaconda.sh -u

After this follow output instructions and do setup properly.

Default Environment

By default, anaconda base environment is preloaded with all the most popular libraries and tools. You can use this environment if you want hassle-free environment to get start quickly.

• Create root directory where we want to store your all notebooks.

mkdir -p ~/tools/ananconda/default

• Launch Jupyter Notebook

cd ~/tools/ananconda/default && jupyter notebook

Your default web browser should open a new tab that looks like the following screenshot:

Launch Jupyter Notebook

To launch notebook run following command:

jupyter notebook

Your default web browser should open a new tab that looks like the following screenshot:

Creating Example Notebook

First, click the New drop-down button in the top-right and select Python 3:

Running Example Notebook

Once you click on it, you will see new file with Untitled title. 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

Sometimes, we want separate environment with specific dependencies then custom environment is very useful.

• Create root directory where we want to store your all notebooks.

mkdir -p ~/tools/ananconda/notebooks

• Prepare conda environment configuration

cd ~/tools/ananconda/notebooks
filename=environment.yml
cat > $filename <<EOT
name: notebooks
dependencies:
  - pip=20.2.4=py38h06a4308_0
  - pip:
    - jupyterlab==4.0.0a19
EOT

• Setup environment

conda env create -f environment.yml

• Activate environment

conda activate notebooks

• Launch Jupyter Notebook

jupyter notebook

• Adding dependencies in environment

filename=environment.yml
cat > $filename <<EOT
name: notebooks
dependencies:
  - pip=20.2.4=py38h06a4308_0
  - pip:
    - jupyterlab==4.0.0a19
    - tensorflow==2.6.0
EOT

• Update environment

conda env update

• Deactivate environment

conda deactivate

Thank you! for reading this article.