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  2. Comparison of programming languages (associative array)

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

    A new dictionary is created using the dict:new/0 function and new key/value pairs are stored using the dict: ... Python 2.7 and 3.x also support dict comprehensions ...

  3. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    Any existing mapping is overwritten. The arguments to this operation are the key and the value. Remove or delete remove a (,) pair from the collection, unmapping a given key from its value. The argument to this operation is the key. Lookup, find, or get find the value (if any) that is bound to a given key.

  4. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})

  5. Hash table - Wikipedia

    en.wikipedia.org/wiki/Hash_table

    A small phone book as a hash table. In computer science, a hash table is a data structure that implements an associative array, also called a dictionary or simply map; an associative array is an abstract data type that maps keys to values. [2]

  6. Autovivification - Wikipedia

    en.wikipedia.org/wiki/Autovivification

    Python's built-in dict class can be subclassed to implement autovivificious dictionaries simply by overriding the __missing__() method that was added to the class in Python v2.5. [5] There are other ways of implementing the behavior, [ 6 ] [ 7 ] but the following is one of the simplest and instances of the class print just like normal Python ...

  7. pandas (software) - Wikipedia

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

    By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.

  8. Property list - Wikipedia

    en.wikipedia.org/wiki/Property_list

    The Python programming language has a builtin plistlib module to read and write plist files, in Apple's XML or in binary (since Python 3.4). [28] ProperTree is a cross-platform editor that makes use of this library. [29] A third-party library called ccl-bplist has the additional ability to handle NSKeyedArchiver UIDs. [19]

  9. Name–value pair - Wikipedia

    en.wikipedia.org/wiki/Name–value_pair

    A name–value pair, also called an attribute–value pair, keyvalue pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data.