Search Results for "python basic project"
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7 projects for "python basic project" with 2 filters applied:
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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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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The Indian Linux Project Goal is to build a Indian language enabled Linux distro & applications with support for Indian Languages
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A queries management software. It was primary designed for an IT team to manage the incidents, but can be used to manage any query, inside or outside an organization. Can be appropriate for Service Desk management.
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The DVS Deployable Versioning System is for tracking the development, QA and installation of deployables. It is intended to be used in in-house project environments and uses a CVS style command line interface.
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PootyPedia is a tool to track the hardware in use by a software project. Its client software finds the hardware and reports it, while the server software tracks the reports and keeps them organized in a database.
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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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The aim of the OpenGrid project is to enable personal high-performance grid computations. More specific, issues of configuration, deployment, controlling and monitoring of embarrassingly parallel computations are addressed.
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