what is the difference between tuple and list in python?
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List and Tuple in Python are the class of data structure. The list is dynamic, whereas tuple has static characteristics. ... Tuple is also a sequence data type that can contain elements of different data types, but these are immutable in nature. In other words, a tuple is a collection of Python objects separated by commas.
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Tuples support the same sequence operations as strings. The index operator selects an element from a tuple. So like strings, tuples are immutable. Once Python has created a tuple in memory, it cannot be changed.
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Tuples in Java. Java doesn't have any such inbuilt data structure to support tuples. Whenever required, we can obviously create a class that can act like a tuple. Also, in Java, part of the tuple functionality can be written using List or Array but those will not allow us to hold different types of data types by design ...
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So what's the difference between Generator Expressions and List Comprehensions? The generator yields one item at a time and generates item only when in demand. Whereas, in a list comprehension, Python reserves memory for the whole list.
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In other words, a variable in a python program gives data to the computer for processing. Every value in Python has a datatype. Different data types in Python are Numbers, List, Tuple, Strings, Dictionary, etc. Variables can be declared by any name or even alphabets like a, aa, abc, etc.
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Everything in Python is an object. ... Objects of built-in types like (int, float, bool, str, tuple, unicode) are immutable. Objects of built-in types like (list, set, dict) are mutable. Custom classes are generally mutable.
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['Numbers.', 'Strings.', 'Lists.', 'Dictionaries.', 'Tuples.', 'Files.', 'Other types include: Sets, types, None, Booleans.']
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A set is a collection which is unordered and unindexed, and doesnt allow duplicates. In Python, sets are written with curly brackets. A list is a collection which is ordered and changeable. In Python lists are written with square brackets.
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List and tuple is an ordered collection of items. Dictionary is unordered collection. List and dictionary objects are mutable i.e. it is possible to add new item or delete and item from it. Tuple is an immutable object.
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Lists and arrays are used in Python to store data(any data type- strings, integers etc), both can be indexed and iterated also. ... Arrays need to be declared whereas lists do not need declaration because they are a part of Python's syntax. This is the reason lists are more often used than arrays.
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Tuples in Java. Java doesn't have any such inbuilt data structure to support tuples. Whenever required, we can create a class that can act like a tuple. Also, in Java, part of the tuple functionality can be written using List or Array but those will not allow us to hold different types of data types by design.
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difference() to get the difference between two lists. Use set() to convert both lists into sets. Use set. difference(s) where set is the first set and s is the second set to get the difference between both sets.
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Summary: len() is a built-in function in python. You can use the len() to get the length of the given string, array, list, tuple, dictionary, etc. ... Return value a return an integer value i.e. the length of the given string, or array, or list, or collections.
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In the case of strings, they're made up of smaller strings, each containing one character. There is also the empty string, containing no characters at all. In the case of lists or tuples, they are made up of elements, which are values of any Python datatype, including other lists and tuples.
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It provides a high-performance multidimensional array object, and tools for working with these arrays. A numpy array is a grid of values, all of the same type, and is indexed by a tuple of nonnegative integers. ... A list is the Python equivalent of an array, but is resizeable and can contain elements of different types.
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A tuple is a data structure that is an immutable, or unchangeable, ordered sequence of elements. Because tuples are immutable, their values cannot be modified.
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3.3. While lists and arrays are superficially similar—they are both multi-element data structures—they behave quite differently in a number of circumstances. First of all, lists are part of the core Python programming language; arrays are a part of the numerical computing package NumPy.