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  2. Hydration (web development) - Wikipedia

    en.wikipedia.org/wiki/Hydration_(web_development)

    The partial hydration approach comes with its own issues and compromises. It poses some interesting challenges for caching, and client-side navigation means it cannot be assumed that server-rendered HTML for inert parts of the application will be available without a full page load. [2]

  3. Java concurrency - Wikipedia

    en.wikipedia.org/wiki/Java_concurrency

    A Runnable, however, does not return a result and cannot throw a checked exception. [4] Each thread can be scheduled [5] on a different CPU core [6] or use time-slicing on a single hardware processor, or time-slicing on many hardware processors. There is no general solution to how Java threads are mapped to native OS threads.

  4. Event-driven programming - Wikipedia

    en.wikipedia.org/wiki/Event-driven_programming

    The Java AWT framework processes all UI changes on a single thread, called the Event dispatching thread. Similarly, all UI updates in the Java framework JavaFX occur on the JavaFX Application Thread. [3] Most network servers and frameworks such as Node.js are also event-driven. [4]

  5. Thread safety - Wikipedia

    en.wikipedia.org/wiki/Thread_safety

    However, deadlock-free guarantees cannot always be given, since deadlocks can be caused by callbacks and violation of architectural layering independent of the library itself. Software libraries can provide certain thread-safety guarantees. [5] For example, concurrent reads might be guaranteed to be thread-safe, but concurrent writes might not be.

  6. Dynamic programming language - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming_language

    In the next example, the class person gets a new superclass. The print method gets redefined such that it assembles several methods into the effective method. The effective method gets assembled based on the class of the argument and the at runtime available and applicable methods.

  7. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    Deciding the optimal thread pool size is crucial to optimize performance. One benefit of a thread pool over creating a new thread for each task is that thread creation and destruction overhead is restricted to the initial creation of the pool, which may result in better performance and better system stability. Creating and destroying a thread ...

  8. Multithreading (computer architecture) - Wikipedia

    en.wikipedia.org/wiki/Multithreading_(computer...

    Only when the data for the previous thread had arrived, would the previous thread be placed back on the list of ready-to-run threads. For example: Cycle i: instruction j from thread A is issued. Cycle i + 1: instruction j + 1 from thread A is issued. Cycle i + 2: instruction j + 2 from thread A is issued, which is a load instruction that misses ...

  9. web2py - Wikipedia

    en.wikipedia.org/wiki/Web2py

    Web2py is an open-source web application framework written in the Python programming language.Web2py allows web developers to program dynamic web content using Python.Web2py is designed to help reduce tedious web development tasks, such as developing web forms from scratch, although a web developer may build a form from scratch if required.