Hashing in computer science refers to the process of mapping large amounts of data to a fixed-size value or key referred to as a hash code or hash value.

This technique is widely used in various computer applications, ranging from data retrieval to password storage. The use of hashing allows for efficient storage, retrieval, and manipulation of data, making it a vital component in many computer systems.

To use hashing, a hash function is required. This function takes an input, such as a string or data structure, and converts it into a fixed-size hash value.

The hash value is typically unique to its corresponding input, meaning that even a small change in the input will produce a considerably different hash value.

The resulting hash value is then used as an index or identifier in a data structure, such as a hash table or hash set, for easy storage and retrieval of data.

• String Hashing:

  This type of hashing is used when the input is a string. The hash function processes the individual characters or bytes of the string, transforming them into a numerical representation. Popular string hashing algorithms include MD5, SHA-256, and CRC32.

• Integer Hashing:

  When the input is an integer, such as a unique identifier or index, integer hashing is utilized. The hash function operates on the numeric value directly and produces a hash code, which can be used as an address to access the corresponding data element.

• Object Hashing:

  Object hashing is employed when dealing with complex data structures, such as objects or records. In this case, the hash function processes the attributes or properties of the object, combining them into a hash value. Object hashing is commonly used for indexing and searching large databases.

• Cryptographic Hashing:

  Cryptographic hashing algorithms are designed to produce a fixed-size output, regardless of the input size. These hash functions possess additional security properties, making them suitable for purposes such as password storage, data integrity verification, or digital signatures. Examples of cryptographic hash functions include SHA-3, bcrypt, and scrypt.

• Cross Compatibility:

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• Experimentation:

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• Wide Ranges of Algorithms:

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• Up to Date with New Algorithms

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• Efficiency and Convinience

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