What is Hashing in Python
Understanding Hashing in Python
What is Hashing in Python
Hashing is a technique in Python that converts arbitrary data into a fixed-size numerical value, which represents the original data. This hashed value is unique for each input and is used for efficient data retrieval and comparison. Hashing is useful for tasks like data indexing, password storage, and data integrity verification. It allows for quick data lookup and comparison without needing to store the original values, making it a fundamental tool for various programming tasks.
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1 - Hashing in Python:
Hashing is a technique used in Python to convert a data value into a fixed size string of characters.
2) Key Concepts:
It is commonly used in data structures like dictionaries and sets for efficient data storage and retrieval.
3) Hash Function:
A hash function is used to map data of arbitrary size to a fixed size value.
4) Uniqueness:
Hash functions aim to generate unique hash values for different inputs, although collisions can occur.
5) Immutable Objects:
Hashing works well with immutable objects in Python like strings, tuples, and numbers.
6) Dictionaries:
Python dictionaries use hashing to map keys to their corresponding values for quick access.
7) Performance Benefits:
Hashing allows for constant time insertion, deletion, and lookup operations in dictionaries.
8) Security:
Hashing is also used in security applications like password hashing to protect sensitive data.
9) Built in Hash Function:
Python provides a built in `hash()` function to generate hash values for objects that have a hash.
10) Custom Objects:
For custom objects, developers can define the `__hash__()` method to specify how the hashing should be done.
11) Collision Handling:
Collisions occur when different inputs produce the same hash value, and Python uses techniques like chaining or probing to handle them.
12) Efficiency:
Hashing helps in speeding up operations where the need to search, insert, or delete elements based on keys is frequent.
13) Training Program:
In a training program, students can learn about the fundamentals of hashing, its applications, and implementation in Python.
14) Implementation Exercises:
Exercises can include implementing hash functions for various data types, creating custom hash functions, and dealing with collision resolution.
15) Real world Use Cases:
Students can explore real world use cases of hashing such as data deduplication, password storage, and efficient searching algorithms.
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