包含了一系列的使用组件。
Jupyter notebook is formerly known as IPython notebook, it is a tool that helps you create readable analyses. Jupyter works with python kernel by default, but it also supports many other kernels. Keyb
Beyond Jupyter Notebooks �� All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" Resources of the presentation Video of th
OCaml Jupyter An OCaml kernel for Jupyter notebook. This provides an OCaml REPL with a great user interface such as markdown/HTML documentation, LaTeX formula by MathJax, and image embedding. Getting
mkdocs-jupyter: Use Jupyter Notebooks in mkdocs Add Jupyter Notebooks directly to the mkdocs navigation Support for multiple formats: .ipynb and .py files (using jupytext) Same style as regular Jupyte
Guide for Reproducible Research and Data Science in Jupyter Notebooks This guide is a community-resource of crowdsourced guidelines and tutorials for reproducible research in Jupyter Notebooks. This r
A plugin for JupyterLab that lets you set up and use as many filebrowsers as you like, connected to whatever local and/or remote filesystem-like resources you want. The backend is built on top of PyFi
Jupyter DataTables Jupyter Notebook extension to leverage pandas DataFrames by integrating DataTables JS. About Data scientists and in fact many developers work with pd.DataFrame on daily basis to int
Jupyter Dash This library makes it easy to develop Plotly Dash apps interactively from within Jupyter environments (e.g. classic Notebook, JupyterLab, Visual Studio Code notebooks, nteract, PyCharm no