Python Tutorial in Hindi #9 Python Tuples: A Comprehensive Guide
0Python Tutorial in Hindi #9 Python Tuples: A Comprehensive Guide
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Python Tuples
Advantages of Tuples:
Tuples are faster than lists.
Tuples can be used as keys in dictionaries (lists cannot).
Tuples are safer if you are passing data to functions or returning data from functions.
Use Cases:
Tuples are commonly used for representing fixed collections of items, such as coordinates, RGB color values, database records, and more. They are also used for returning multiple values from a function.
Tuples provide a lightweight data structure for situations where immutability is desired. However, if you need to modify the elements of a collection, you should use lists instead.
Operations:
Tuples are primarily used for data storage and retrieval, not modification.
You can use len(tuple) to get the length.
tuple.index(value) returns the index of the first occurrence (if present).
tuple.count(value) counts the occurrences of a value.
Use in and not in operators for membership checking.
Key Differences from Lists:
Immutability: Tuples cannot be changed after creation.
Parentheses vs. square brackets: Tuples use (), while lists use [].
Hashing: Tuples are hashable due to immutability, making them suitable for keys in dictionaries.
Best Practices:
Choose meaningful names for your tuples.
Use clear and concise indexing and slicing expressions.
Consider using tuples when data shouldn't be modified accidentally.
Be aware of the limitations of immutability for certain use cases.
In Python, tuples are similar to lists in terms of storing ordered sequences of items, but they offer a key difference: immutability. Once created, you cannot modify the contents of a tuple
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