Search Results for "python data analysis"
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Showing 5 open source projects for "python data analysis"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Composable, Open Source Payments PlatformJuspay's Payments Orchestration Platform offers a comprehensive product suite for businesses, including open-source payment orchestration, global payouts, seamless authentication, payment tokenization, fraud & risk management, end-to-end reconciliation, unified payment analytics & more. The company’s offerings also include end-to-end white label payment gateway solutions & real-time payments infrastructure for banks. These solutions help businesses achieve superior conversion rates, reduce fraud, optimize costs, and deliver seamless customer experiences at scale.
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math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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ANOSE is a web application (a web site) that allows software engineers to collect information about software projects and perform statistical analysis on the data collected. A key goal in ANOSE is to provide an easy to use user interface and efficient da
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These tools will help users undrestand the growth pattern of a wiki site. 1) A parsing tool that collect information from wikis 2) A series of web reports that display information about the wiki site Corrently only Editme.com wiki site is supported
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AI-based, Comprehensive Service Management for Businesses and IT ProvidersChangeGear provides IT staff with the functions required to manage everything from ticketing to incident, change and asset management and more. ChangeGear includes a virtual agent, self-service portals and AI-based features to support analyst and end user productivity.
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An extension of DNN that will allow object relational mapping of DNN objects. This is important for anyone interfacing with DNN in a object relational manor. Also for people using a Web Service Data Access layer.
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