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It aims to be the \nfundamental high-level building block for doing practical, **real world** network data analysis in Python. \nAdditionally, it has the broader goal of becoming **a common network data processing framework for researchers** \nproviding data reproducibility across experiments.\n\nThis repo contains the content for [NFStream web-site](https://nfstream.org).\n\nThe project itself can be found here: \u003chttps://github.com/nfstream/nfstream\u003e\n\n## Getting Started\n\n### Prerequisites\n\n1. Git\n2. [Jekyll](https://jekyllrb.com/docs/installation/)\n\n### Running locally\n\n1. Clone this repo: `git clone https://github.com/nfstream/nfstream.github.io.git`\n2. Run the web-site using Bundler: `bundle exec jekyll serve`\n3. Browse to `http://localhost:4000`\n\n## Overview\n\nThis web-site is built using [Jekyll](https://jekyllrb.com/) and uses [Just The Docs](https://pmarsceill.github.io/just-the-docs/) \ntheme for most of its content.\n\nMost of the content is organized in Markdown (.md) files which are easy to generate and maintain. \nThe only exceptions is the landing Page (`index.html`).\n\n## Contribute\n\nYou are more than welcome to contribute to this web-site. \nYou can do that by either opening [issues on GitHub](https://github.com/nfstream/nfstream.github.io/issues) or by adding/modifying content and create a PR.\n\nIf you decide to create a PR please make sure you:\n\n- Test the changes on different browsers\n- Test the changes on both desktop and mobile. 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