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equations, visualizations, and narrative text. It is language-agnostic and supports Python, R, Julia, and more through its kernel mechanism. The current major version, Notebook v7, is built on JupyterLab components and Jupyter Server, and new feature work focuses on it.\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Value\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>Type\u003C\u002Ftd>\n\u003Ctd>Web-based interactive notebook\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Platform\u003C\u002Ftd>\n\u003Ctd>Browser (local or remote server)\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Languages\u003C\u002Ftd>\n\u003Ctd>Kernels for Python, R, Julia, and more\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>License\u003C\u002Ftd>\n\u003Ctd>BSD-3-Clause\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cblockquote>\n\u003Cp>Code, results, and explanations on one page keep data workflows clear.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2 id=\"key-features\">Key Features\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Interactive execution\u003C\u002Fstrong>: split code into cells, run them one by one, and see results instantly\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Rich text\u003C\u002Fstrong>: supports Markdown and math formulas, mixing code with documentation\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Inline visualization\u003C\u002Fstrong>: charts and tables render directly in the notebook output area\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Multi-language kernels\u003C\u002Fstrong>: supports hundreds of languages via the Jupyter kernel protocol\u003C\u002Fli>\n\u003Cli>\u003Cstrong>File management\u003C\u002Fstrong>: a built-in dashboard browses and manages working-directory files\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Extension ecosystem\u003C\u002Fstrong>: a large ecosystem of extensions and tools adds features on demand\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"target-audience\">Target Audience\u003C\u002Fh2>\u003Cul>\n\u003Cli>Data analysts\u003C\u002Fli>\n\u003Cli>Machine learning engineers\u003C\u002Fli>\n\u003Cli>Researchers\u003C\u002Fli>\n\u003Cli>Data science course instructors\u003C\u002Fli>\n\u003Cli>Any developer documenting exploratory work\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"quick-start\">Quick Start\u003C\u002Fh2>\u003Col>\n\u003Cli>Install Notebook\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Cdiv class=\"code-block\">\u003Cpre>\u003Ccode class=\"hljs language-bash\">pip install notebook\u003C\u002Fcode>\u003C\u002Fpre>\u003C\u002Fdiv>\u003Col start=\"2\">\n\u003Cli>Start the server\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Cdiv class=\"code-block\">\u003Cpre>\u003Ccode class=\"hljs language-bash\">jupyter notebook\u003C\u002Fcode>\u003C\u002Fpre>\u003C\u002Fdiv>\u003Col start=\"3\">\n\u003Cli>\u003Cp>When the browser opens, create a new notebook, type code in a cell, and press \u003Ccode>Shift+Enter\u003C\u002Fcode> to run\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli>\u003Cp>For remote deployment, configure a notebook server per the official documentation first\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"core-advantages\">Core Advantages\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Exploration friendly\u003C\u002Fstrong>: run a cell, see a result, and keep both reasoning and output together\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Easy to share\u003C\u002Fstrong>: an \u003Ccode>.ipynb\u003C\u002Fcode> file carries code and outputs for easy reproduction\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Huge ecosystem\u003C\u002Fstrong>: the Jupyter toolchain is mature with abundant community resources\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"system-requirements\">System Requirements\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Requirement\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>OS\u003C\u002Ftd>\n\u003Ctd>Linux, macOS, Windows\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Language\u003C\u002Ftd>\n\u003Ctd>Python\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Browser\u003C\u002Ftd>\n\u003Ctd>A modern mainstream browser\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"notes\">Notes\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Version choice\u003C\u002Fstrong>: v7 is the mainline, v6 is maintenance-only, and v5 is no longer maintained\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Extension compatibility\u003C\u002Fstrong>: extensions written for v5 or v6 do not work with v7 and need adaptation\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Remote deployment\u003C\u002Fstrong>: public deployments need proper authentication and security configuration\u003C\u002Fli>\n\u003C\u002Ful>\n",1793197881662]