Showing 2 open source projects for "python data analysis"

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    Parasoft: Automated Testing to Deliver Superior Quality Software

    Parasoft provides test automation for every phase of the software development life cycle.

    Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting the embedded, enterprise, and IoT markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives—security, safety-critical, Agile, DevOps, and continuous testing.
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  • Contract Management Software | Concord Icon
    Contract Management Software | Concord

    AI-powered contract management that helps businesses track spending, negotiate smarter, and never miss deadlines.

    Concord serves small and mid-sized businesses and Fortune 500 companies. This robust, web-based platform is used by human resource, sales, procurement, and legal teams, and virtually anyone who deals with contracts.
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    Cinemagoer

    Cinemagoer

    Python package to retrieve and manage data of the IMDb

    Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db.
    Downloads: 10 This Week
    Last Update:
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  • 2
    Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...
    Downloads: 11 This Week
    Last Update:
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