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  2. Async/await - Wikipedia

    en.wikipedia.org/wiki/Async/await

    A function using async/await can use as many await expressions as it wants, and each will be handled in the same way (though a promise will only be returned to the caller for the first await, while every other await will utilize internal callbacks). A function can also hold a promise object directly and do other processing first (including ...

  3. Futures and promises - Wikipedia

    en.wikipedia.org/wiki/Futures_and_promises

    C#, since .NET Framework 4.5, [22] via the keywords async and await [23] Kotlin, however kotlin.native.concurrent.Future is only usually used when writing Kotlin that is intended to run natively [35] Nim; Oxygene; Oz version 3 [36] Python concurrent.futures, since 3.2, [37] as proposed by the PEP 3148, and Python 3.5 added async and await [38]

  4. Foreach loop - Wikipedia

    en.wikipedia.org/wiki/Foreach_loop

    foreach is usually used in place of a standard for loop statement. Unlike other for loop constructs, however, foreach loops [1] usually maintain no explicit counter: they essentially say "do this to everything in this set", rather than "do this x times". This avoids potential off-by-one errors and makes code simpler to read.

  5. React (software) - Wikipedia

    en.wikipedia.org/wiki/React_(software)

    React (also known as React.js or ReactJS) is a free and open-source front-end JavaScript library [5] [6] that aims to make building user interfaces based on components more "seamless". [5] It is maintained by Meta (formerly Facebook) and a community of individual developers and companies.

  6. Observer pattern - Wikipedia

    en.wikipedia.org/wiki/Observer_pattern

    The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.

  7. Asynchronous I/O - Wikipedia

    en.wikipedia.org/wiki/Asynchronous_I/O

    Finally, multithreading and explicit asynchronous I/O APIs within user processes can exploit asynchronous I/O further, at the cost of extra software complexity. Asynchronous I/O is used to improve energy efficiency, and in some cases, throughput. However, it can have negative effects on latency and throughput in some cases.

  8. ArkTS - Wikipedia

    en.wikipedia.org/wiki/ArkTS

    ArkTS enables object-oriented programming with the support for classes, subtyping, and method overriding. Optionals allow nil values to be handled explicitly and safely. Concurrent programs can be written using async/await syntax and actors isolate shared mutable state in order to eliminate data races.

  9. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    A sample thread pool (green boxes) with waiting tasks (blue) and completed tasks (yellow) In computer programming, a thread pool is a software design pattern for achieving concurrency of execution in a computer program.