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  2. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]

  3. Laravel - Wikipedia

    en.wikipedia.org/wiki/Laravel

    Laravel 10 was released on February 14, 2023. [20] Laravel 11 was released on March 12, 2024. It was announced on the Laravel blog and other social media, it was also discussed in detail at Laracon EU in Amsterdam on 5–6 February. [21] Along with Laravel 11, a first-party websocket server called Laravel Reverb was released.

  4. List of HTTP status codes - Wikipedia

    en.wikipedia.org/wiki/List_of_HTTP_status_codes

    This class of status code indicates the client must take additional action to complete the request. Many of these status codes are used in URL redirection. [2]A user agent may carry out the additional action with no user interaction only if the method used in the second request is GET or HEAD.

  5. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    Validation metadata include data type, range of permissible values or membership in a set of values, regular expression match, default value, and whether the value is permitted to be null. In EAV systems representing classes with substructure, the validation metadata will also record what class, if any, a given attribute belongs to.

  6. SOLID - Wikipedia

    en.wikipedia.org/wiki/SOLID

    In software programming, SOLID is a mnemonic acronym for five design principles intended to make object-oriented designs more understandable, flexible, and maintainable. ...

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  8. Universally unique identifier - Wikipedia

    en.wikipedia.org/wiki/Universally_unique_identifier

    As in other UUIDs, 4 bits are used to indicate version 4, and 2 or 3 bits to indicate the variant (10 2 or 110 2 for variants 1 and 2 respectively). Thus, for variant 1 (that is, most UUIDs) a random version 4 UUID will have 6 predetermined variant and version bits, leaving 122 bits for the randomly generated part, for a total of 2 122 , or 5.3 ...

  9. Web development - Wikipedia

    en.wikipedia.org/wiki/Web_development

    Full-stack development refers to the practice of designing, building, and maintaining the entire software stack of a web application. This includes both the frontend (client-side) and backend (server-side) components, as well as the database and any other necessary infrastructure. A full-stack developer is someone who has expertise in working ...