Search Results for "python data analysis"
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Showing 5 open source projects for "python data analysis"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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DocBook Authoring and Publishing Suite
DocBook Publishing Made Easy
The DAPS project moved to https://github.com/openSUSE/daps The SUSE XSL Stylesheets have moved to https://github.com/openSUSE/suse-xsl To join the discussion, under https://github.com/openSUSE/daps/discussions -
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DoCookBook
Cookbook Style Document for DocBook Customizations
This project has been moved to GitHub: https://github.com/tomschr/dbcookbook/ The DoCookBook project aims to create an open source book about DocBook and the DocBook XSL stylesheets written as a cookbook and released under a Creative Commons license. -
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Scientific Book Document Project is developing three new formats: SBP, SBD and SBR. These formats will be designed to make reading e-friendly. The most part of the project is implemented in Python, but there are plans for remaking it in C++.
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Jeszra is a visual designtool, which combines 2D- vector graphics and GUI design. Jeszra is written in Tcl/Tk and creates reusable code for: * Tcl, Ruby, Lisp and Python. * DocBook based reference pages. * SVG import and export.
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The Ultimate Quiz Maker & Engagement PlatformRiddle is an online platform for creating interactive content such as quizzes, surveys, personality tests, prediction games, and leaderboards. Our customers create content on our platform and then embed it on their website. The goal? Increased engagement, lead generation, segmentation, and content monetization - all 100% GDPR compliant.
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ddreditor (Digital Didatic Resource Editor) is a editor of Digital Didatic Resources (learning objects and more). It is implemented using Python and it´s GTK bindings and uses a docbook substed as it´s markup language.
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