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  2. Immutable object - Wikipedia

    en.wikipedia.org/wiki/Immutable_object

    In object-oriented (OO) and functional programming, an immutable object (unchangeable [1] object) is an object whose state cannot be modified after it is created. [2] This is in contrast to a mutable object (changeable object), which can be modified after it is created. [3]

  3. Flyweight pattern - Wikipedia

    en.wikipedia.org/wiki/Flyweight_pattern

    One example is mutability: whether the objects storing extrinsic flyweight state can change. Immutable objects are easily shared, but require creating new extrinsic objects whenever a change in state occurs. In contrast, mutable objects can share state. Mutability allows better object reuse via the caching and re-initialization of old, unused ...

  4. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects). [72]

  5. Comparison of functional programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_functional...

    The table shows a comparison of functional programming languages which compares various features and designs of different ... Python: No [73] Simulated with generators:

  6. Persistent data structure - Wikipedia

    en.wikipedia.org/wiki/Persistent_data_structure

    The Scala programming language promotes the use of persistent data structures for implementing programs using "Object-Functional Style". [36] Scala contains implementations of many persistent data structures including linked lists, red–black trees , as well as persistent hash array mapped tries as introduced in Clojure.

  7. Purely functional programming - Wikipedia

    en.wikipedia.org/wiki/Purely_functional_programming

    In a purely functional language, the only dependencies between computations are data dependencies, and computations are deterministic. Therefore, to program in parallel, the programmer need only specify the pieces that should be computed in parallel, and the runtime can handle all other details such as distributing tasks to processors, managing synchronization and communication, and collecting ...

  8. Mutation testing - Wikipedia

    en.wikipedia.org/wiki/Mutation_testing

    Recently, with the availability of massive computing power, there has been a resurgence of mutation analysis within the computer science community, and work has been done to define methods of applying mutation testing to object oriented programming languages and non-procedural languages such as XML, SMV, and finite-state machines.

  9. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...