data_structures

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Data structures are ways of organizing and storing data in a computer so that it can be accessed and modified efficiently. They are essential for managing and processing data dynamically and play a crucial role in software development and computer science. Common data structures include arrays, linked lists, stacks, queues, hash tables, trees, and graphs. Each structure has its advantages and is suited to specific tasks; for example, arrays allow fast access to elements using indices, linked lists facilitate easy insertion and removal of elements, and trees are ideal for hierarchical data representation. Hash tables offer efficient data retrieval through key-value mapping. Understanding and choosing the right data structure is key to optimizing algorithms and solving complex computational problems efficiently.

data structure - “A logical grouping of data and data operations | operations on that data.” (CppPrmLp 2012)

Data structures are fundamental components in computer science. They provide a way to organize data and store data efficiently, allowing programs to access and manipulate information effectively. Let’s delve into the world of data structures:

Definition: A data structure is a logical or mathematical representation of data, along with its implementation in a computer program. It encompasses both the arrangement of data values and the relationships among them12.

Purpose: Data structures serve as the foundation for abstract data types (ADTs). While the ADT defines the logical form of a data type, the data structure implements its physical form. Different types of data structures cater to various applications, and some are specialized for specific tasks. For instance:
B-tree indexes are commonly used in relational databases for data retrieval.
Hash tables are prevalent in compiler implementations for looking up identifiers.
Efficient Algorithms: Well-designed data structures are key to efficient algorithms. * They allow us to manage large amounts of data effectively, whether it’s in main memory or secondary memory1.
Implementation: Data structures can be implemented using various programming languages and techniques. They all share the common goal of organizing and storing data efficiently. Some examples include:
Arrays: Contiguous memory allocation facilitates rapid access and modification operations.
Linked lists: Store addresses of data items within the structure itself1.
Types: There are numerous data structures, each built upon simpler primitive data types. Some common ones include:
- Arrays
- Lists
- Trees
- Graphs

In summary, data structures empower us to harness the power of data, making our algorithms smarter and more effective.

Snippet from Wikipedia: Data structure: In computer science, a data structure is a way to organize and store data that is usually chosen for efficient access to data. More precisely, a data structure is the physical implementation of a data type, including specifications of the data organization and storage format, as well functions or operations for working with this data. Data structures are closely related to abstract data types (ADTs). The data structure describes the representation of data in memory and how operations are carried out, while the ADT describes the logical form or algebraic structure of the data type—what operations are allowed and what results they produce—without describing how those operations are implemented. Some authors do not use the term "abstract data type" and simply refer to the logical and physical forms of the data structure.

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In computer science, a data structure is a data organization, management and storage format that enables Algorithmic efficiency | efficient access and modification. 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.

Snippet from Wikipedia: Data structure: In computer science, a data structure is a way to organize and store data that is usually chosen for efficient access to data. More precisely, a data structure is the physical implementation of a data type, including specifications of the data organization and storage format, as well functions or operations for working with this data. Data structures are closely related to abstract data types (ADTs). The data structure describes the representation of data in memory and how operations are carried out, while the ADT describes the logical form or algebraic structure of the data type—what operations are allowed and what results they produce—without describing how those operations are implemented. Some authors do not use the term "abstract data type" and simply refer to the logical and physical forms of the data structure.

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Main article is List of data structures

There are numerous types of data structures, generally built upon simpler primitive data types:<ref>

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An array data structure | ''array'' is a number of elements in a specific order, typically all of the same type (depending on the language, individual elements may either all be forced to be the same type, or may be of almost any type). Elements are accessed using an integer index to specify which element is required. Typical implementations allocate contiguous memory words for the elements of arrays (but this is not always a necessity). Arrays may be fixed-length or resizable.
A linked list (also just called list) is a linear collection of data elements of any type, called nodes, where each node has itself a value, and points to the next node in the linked list. The principal advantage of a linked list over an array, is that values can always be efficiently inserted and removed without relocating the rest of the list. Certain other operations, such as random access to a certain element, are however slower on lists than on arrays.
A Record (computer science) | ''record'' (also called tuple or struct) is an aggregate data structure. A record is a value that contains other values, typically in fixed number and sequence and typically indexed by names. The elements of records are usually called fields or members.
A Union (computer science) | ''union'' is a data structure that specifies which of a number of permitted primitive types may be stored in its instances, e.g. float or long integer. Contrast with a record (computer science) | record, which could be defined to contain a float and an integer; whereas in a union, there is only one value at a time. Enough space is allocated to contain the widest member datatype.
A tagged union (also called variant type | ''variant'', variant record, discriminated union, or disjoint union) contains an additional field indicating its current type, for enhanced type safety.
An Object (computer science) | ''object'' is a data structure that contains data fields, like a record does, as well as various Method (computer programming) | methods which operate on the data contents. An object is an in-memory instance of a class from a taxonomy. In the context of object-oriented programming, records are known as plain old data structures to distinguish them from objects. <ref>
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In addition, Graph (computer science) | ''graphs'' and binary trees are other commonly used data structures.

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