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  2. List of concurrent and parallel programming languages

    en.wikipedia.org/wiki/List_of_concurrent_and...

    A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a program. A parallel language is able to express programs that are executable on more than one processor.

  3. CPython - Wikipedia

    en.wikipedia.org/wiki/CPython

    However, the GIL does mean that CPython is not suitable for processes that implement CPU-intensive algorithms in Python code that could potentially be distributed across multiple cores. In real-world applications, situations where the GIL is a significant bottleneck are quite rare.

  4. Concurrent computing - Wikipedia

    en.wikipedia.org/wiki/Concurrent_computing

    PHP—multithreading support with parallel extension implementing message passing inspired from Go [15] Pict—essentially an executable implementation of Milner's π-calculus; Raku includes classes for threads, promises and channels by default [16] Python — uses thread-based parallelism and process-based parallelism [17]

  5. Stackless Python - Wikipedia

    en.wikipedia.org/wiki/Stackless_Python

    Stackless Python, or Stackless, is a Python programming language interpreter, so named because it avoids depending on the C call stack for its own stack. In practice, Stackless Python uses the C stack, but the stack is cleared between function calls. [ 2 ]

  6. Global interpreter lock - Wikipedia

    en.wikipedia.org/wiki/Global_Interpreter_Lock

    Schematic representation of how threads work under GIL. Green - thread holding GIL, red - blocked threads. A global interpreter lock (GIL) is a mechanism used in computer-language interpreters to synchronize the execution of threads so that only one native thread (per process) can execute basic operations (such as memory allocation and reference counting) at a time. [1]

  7. Comparison of multi-paradigm programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_multi...

    Declarative programming – describes what computation should perform, without specifying detailed state changes c.f. imperative programming (functional and logic programming are major subgroups of declarative programming) Distributed programming – have support for multiple autonomous computers that communicate via computer networks

  8. Cooperative multitasking - Wikipedia

    en.wikipedia.org/wiki/Cooperative_multitasking

    Cooperative multitasking is similar to async/await in languages, such as JavaScript or Python, that feature a single-threaded event-loop in their runtime. This contrasts with cooperative multitasking in that await cannot be invoked from a non-async function, but only an async function, which is a kind of coroutine .

  9. Thread (computing) - Wikipedia

    en.wikipedia.org/wiki/Thread_(computing)

    Many implementations of C and C++ support threading, and provide access to the native threading APIs of the operating system. A standardized interface for thread implementation is POSIX Threads (Pthreads), which is a set of C-function library calls. OS vendors are free to implement the interface as desired, but the application developer should ...