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Showing 4 open source projects for "python-4suite-xml"

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  • Level Up Your Cyber Defense with External Threat Management Icon
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  • 1
    Google Style Guides

    Google Style Guides

    Style guides for Google-originated open source projects

    Google Styleguide is a comprehensive collection of coding style guides created and maintained by Google to ensure consistency, readability, and maintainability across its vast array of software projects. These guides define best practices and conventions for writing code in multiple programming languages, from C++ and Python to JavaScript, Go, and Swift. By adhering to these standards, developers can more easily collaborate, review code, and maintain high-quality software across teams and open source contributions. Each guide covers a wide range of topics, including naming conventions, file organization, indentation, documentation, and usage of specific language features. ...
    Downloads: 3 This Week
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  • 2

    LazySerializer

    Lazily serializes an object to XML for usage in XPath/XSLT.

    ...Only properties (or properties of properties) that your reference in your XSLT will be 'converted' to XML, hence the 'Lazy' serializer.
    Downloads: 0 This Week
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  • 3

    ML.NET

    An XQuery Library for .NET developers

    ML.NET allows developers to evaluate C# code inside XQuery applications running on MarkLogic. Your XQuery applications can now call existing system or custom .NET assemblies, or create new classes on-the-fly. ML.NET consists of an XQuery library that communicates with a secure .NET web service, which is responsible for dynamically compiling, caching, and evaluating .NET code.
    Downloads: 0 This Week
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  • 4
    Execution Work, it´s a new framework engine for php programming. Ew supports OOP, MVC, XML, XSL, DataBase2Objects, and much more. Ew has its own Business Components, with many "packages" to make your programming life simple and useful.
    Downloads: 0 This Week
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    Cloud data warehouse to power your data-driven innovation

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    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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