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  2. Foreach loop - Wikipedia

    en.wikipedia.org/wiki/Foreach_loop

    This avoids potential off-by-one errors and makes code simpler to read. In object-oriented languages, an iterator, even if implicit, is often used as the means of traversal. The foreach statement in some languages has some defined order

  3. Control flow - Wikipedia

    en.wikipedia.org/wiki/Control_flow

    In Object Pascal, D, Java, C#, and Python a finally clause can be added to the try construct. No matter how control leaves the try the code inside the finally clause is guaranteed to execute. This is useful when writing code that must relinquish an expensive resource (such as an opened file or a database connection) when finished processing:

  4. List of concurrent and parallel programming languages

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

    Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model . 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 ...

  5. Method chaining - Wikipedia

    en.wikipedia.org/wiki/Method_chaining

    Method chaining is a common syntax for invoking multiple method calls in object-oriented programming languages. Each method returns an object, allowing the calls to be chained together in a single statement without requiring variables to store the intermediate results. [1]

  6. Generator (computer programming) - Wikipedia

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

    Java has had a standard interface for implementing iterators since its early days, and since Java 5, the "foreach" construction makes it easy to loop over objects that provide the java.lang.Iterable interface. (The Java collections framework and other collections frameworks, typically provide iterators for all collections.)

  7. Automatic parallelization - Wikipedia

    en.wikipedia.org/wiki/Automatic_parallelization

    dependence analysis is hard for code that uses indirect addressing, pointers, recursion, or indirect function calls because it is difficult to detect such dependencies at compile time; loops have an unknown number of iterations; accesses to global resources are difficult to coordinate in terms of memory allocation, I/O, and shared variables;

  8. Comparison of programming languages (syntax) - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_programming...

    The above statements can also be classified by whether they are a syntactic convenience (allowing things to be referred to by a shorter name, but they can still be referred to by some fully qualified name without import), or whether they are actually required to access the code (without which it is impossible to access the code, even with fully ...

  9. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    Query by Slice, Parallel Execute, and Join: A Thread Pool Pattern in Java" by Binildas C. A. "Thread pools and work queues" by Brian Goetz "A Method of Worker Thread Pooling" by Pradeep Kumar Sahu "Work Queue" by Uri Twig: C++ code demonstration of pooled threads executing a work queue. "Windows Thread Pooling and Execution Chaining"