Install the classic Jupyter Notebook using Conda
Conda package manager is recommend to install classic Jupyter Notebook. Either the miniconda or the miniforge conda distributions include a minimal conda installation.
Then you can install the notebook with:
conda install -c conda-forge notebook
Install the classic Jupyter Notebook using pip
If you use pip, you can install it with:
pip install notebook
Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):
jupyter notebook
See Running the Notebook for more details.
Jupyter Community Distributor
The Jupyter Notebook is a web app that allows you to create and share documents that contain interactive program code.
From Jupyter (2020), the Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Juypter notebook is the quintessential tool for all data driven programming and visualisation efforts, whether you are a data scientist, senior manager or generally interested in interactive code, download Juypter notebook and start interacting with your programs in a visual way today.
Table of contents
Visualise output of programming, by default iPython Language
Supports languages like Python and R
Jupyter Notebook download free at no cost
Popular amongst data scientists for easy of displaying code interactively with data and documents
You can arrange multiple documents side by side
Write code as you type documents using Markdown
Unified model for viewing and handling data formats.
Can work with many file formats including images, CSV, JSON, Markdown, PDF, Vega, Vega-Lite, etc.
Can display the same many formats visually in Jupyter notebook documents and activities
Introduction Video
From Jupyter (2020)
Jupyter Notebook supports over 40 programming languages, including Python, R, Julia, and Scala.
Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer.
Your Jupyter Notebook code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.
Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, TensorFlow.
Install using Conda or Pip via the command line.
Its free to download, use and even extend. Check out the licensing for more details.
Yes you can try in your browser using Try Jupyter in your browser now
Install the classic Jupyter Notebook using Conda
Conda package manager is recommend to install classic Jupyter Notebook. Either the miniconda or the miniforge conda distributions include a minimal conda installation.
Then you can install the notebook with:
conda install -c conda-forge notebook
Install the classic Jupyter Notebook using pip
If you use pip, you can install it with:
pip install notebook
Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):
jupyter notebook
See Running the Notebook for more details.