Resultado da Busca
JupyterLab is a web-based interactive development environment for notebooks, code, and data. It supports over 40 programming languages, including Python, and integrates with big data tools and JupyterHub.
- Installing Jupyter
Project Jupyter’s tools are available for installation via...
- Try Jupyter
Project Jupyter builds tools, standards, and services for...
- Get Involved
Jupyter is a community of data enthusiasts who believe in...
- Documentation
Project Jupyter Documentation#. Welcome to the Project...
- News
The Jupyter Blog. JupyterLab 3 end of maintenance. The...
- Governance
The governing bodies of Project Jupyter are described, a...
- Security
The Jupyter Security Subproject exists to provide help and...
- About
Project Jupyter is a non-profit, open-source project, born...
- Installing Jupyter
Learn how to install JupyterLab, Jupyter Notebook, and Voilà, the tools for interactive computing with Python. Follow the instructions with pip, conda, mamba, or Homebrew.
WASM powered Jupyter running in the browser.
Os notebooks combinam código de computador (como Python, SQL ou R), o resultado da execução do código e elementos de rich text (formatação, tabelas, figuras, equações, links etc.) em um único documento. O principal benefício dos notebooks é a capacidade de incluir comentários em seu código.
- Adam Shafi
Built on the power of the computational notebook format, Jupyter Notebook offers fast, interactive new ways to prototype and explain your code, explore and visualize your data, and share your ideas with others.
7 de set. de 2023 · Learn about Jupyter Notebook, a web-based interactive environment for data science and machine learning. Find out how to install it with Pip or Conda, and how to use it with Jupyter Lab or VSCode.
Notebooks can be executed from your terminal using the execute subcommand. It expects notebook paths as input arguments and accepts optional flags to modify the default behavior. Running a notebook is this easy.
