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2. Data structure - Wikipedia

   en.wikipedia.org/wiki/Data_structure

   A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.

3. List of data structures - Wikipedia

   en.wikipedia.org/wiki/List_of_data_structures

   This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.

4. Python (programming language) - Wikipedia

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

   Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [32] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

5. Tree (abstract data type) - Wikipedia

   en.wikipedia.org/wiki/Tree_(abstract_data_type)

   In computer science, a tree is a widely used abstract data type that represents a hierarchical tree structure with a set of connected nodes. Each node in the tree can be connected to many children (depending on the type of tree), but must be connected to exactly one parent, [ 1 ] [ 2 ] except for the root node, which has no parent (i.e., the ...

6. Timsort - Wikipedia

   en.wikipedia.org/wiki/Timsort

   Timsort is a hybrid, stable sorting algorithm, derived from merge sort and insertion sort, designed to perform well on many kinds of real-world data.It was implemented by Tim Peters in 2002 for use in the Python programming language.

7. List of terms relating to algorithms and data structures

   en.wikipedia.org/wiki/List_of_terms_relating_to...

   The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data structures. For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.

8. Comparison of data structures - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_data_structures

   Here are time complexities [5] of various heap data structures. The abbreviation am. indicates that the given complexity is amortized, otherwise it is a worst-case complexity. For the meaning of "O(f)" and "Θ(f)" see Big O notation. Names of operations assume a max-heap.

9. Abstract data type - Wikipedia

   en.wikipedia.org/wiki/Abstract_data_type

   Abstract data types are theoretical entities, used (among other things) to simplify the description of abstract algorithms, to classify and evaluate data structures, and to formally describe the type systems of programming languages. However, an ADT may be implemented.