Jupyter Meaning

  • technical

Jupyter is an open-source project and ecosystem centered around the "Jupyter Notebook," a web-based interactive computing environment. The name is a nod to the three core programming languages it was designed to support: Julia, Python, and R, while also paying homage to Galileo’s notebooks documenting the moons of Jupiter. In practice, it is the standard tool for data scientists, researchers, and educators to combine live code, equations, visualizations, and narrative text in a single document. You will often hear it discussed in the context of "JupyterLab," "Notebooks," or "kernels," referring to the interface and the underlying engines that execute the code.

A WordDream illustration of Jupyter
A picture makes Jupyter easier to remember than a definition alone.

What is Jupyter?

Project Jupyter is a non-profit organization created to develop open-source software, open standards, and services for interactive computing across dozens of programming languages. It is widely recognized for its flagship web-based interface, the Jupyter Notebook, which has become the industry standard for data science, machine learning, and scientific computing.

Jupyter in Conversation

Setting up a project

  • Alex: Are you going to use a Jupyter notebook for the data analysis?Are you going to use a Jupyter notebook for the data analysis?
  • Sam: Yeah, it's easier to document my steps that way.Yeah, it's easier to document my steps that way.

Jupyter is frequently used as a shorthand for the software environment itself.

Troubleshooting

  • Jordan: My kernel keeps crashing every time I run this cell.My kernel keeps crashing every time I run this cell.
  • Pat: Try restarting the Jupyter server, that usually clears the memory.Try restarting the Jupyter server, that usually clears the memory.

'Kernel' refers to the computational engine running the code within the Jupyter interface.

Examples

  1. I opened the Jupyter notebook to start my assignment.

    I opened the Jupyter notebook to start my assignment.

  2. The team collaborated on a Jupyter project to visualize the climate trends.

    The team collaborated on a Jupyter project to visualize the climate trends.

  3. By utilizing the Jupyter ecosystem, researchers can ensure their data analysis workflows remain transparent and reproducible.

    By utilizing the Jupyter ecosystem, researchers can ensure their data analysis workflows remain transparent and reproducible.