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- Associative array - Wikipedia
The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays [2] The two major solutions to the dictionary problem are hash tables and search trees [3][4][5][6] It is sometimes also possible to solve the problem using directly addressed arrays, binary search trees, or other more
- Python syntax and semantics - Wikipedia
Python syntax and semantics A snippet of Python code demonstrating binary search 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
- Comparison of programming languages (associative array)
This comparison of programming languages (associative arrays) compares the features of associative array data structures or array-lookup processing for over 40 computer programming languages
- List comprehension - Wikipedia
Dictionary comprehension The Python language introduced a new syntax for dictionary comprehensions in version 2 7, similar in form to list comprehensions but which generate Python dicts instead of lists
- Iterator - Wikipedia
Python dictionaries (a form of associative array) can also be directly iterated over, when the dictionary keys are returned; or the items() method of a dictionary can be iterated over where it yields corresponding key,value pairs as a tuple:
- Sparse dictionary learning - Wikipedia
Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims to find a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves These elements are called atoms, and they compose a dictionary
- Lesk algorithm - Wikipedia
Lesk algorithm is a classical algorithm for word sense disambiguation introduced by Michael E Lesk in 1986 [1] It operates on the premise that words within a given context are likely to share a common meaning This algorithm compares the dictionary definitions of an ambiguous word with the words in its surrounding context to determine the most appropriate sense Variations, such as the
- Autovivification - Wikipedia
Python 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]
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