The Python programming language consists of several unique data types, such as lists, dictionaries, sets, etc. Today, several programmers who check and learn these sets or lists in Python also explore the internet to learn about Python Tuple.
Tuple in Python is just another well-liked and widely accessed collection data type. This article covers an in-depth overview of Python Tuple, its features, benefits, and examples. So, let’s start.
What Is a Python Tuple?
A Python Tuple refers to a group of objects that are encased in parentheses and divided by commas. Programmers use the unchangeable, immutable objects – Tuples in Python to demonstrate fixed groupings of elements.
Moreover, a Python Tuple can be made out of other elements, such as tuples and lists, like demonstrated in the following example:
a tuple = (2, [3, 4, 5], (6, 7 8), and 9.0)
A float number, a tuple, a list, or an integer are all contained in the Python tuple produced by the code above. The following code returns the full Python tuple in addition to its data type.
print (a tuple)
(2, [3, 4, 5], (6, 7, 8), 9.0)
Features of Python Tuple
Some common features of a Python tuple are ordered, immutable, and allowing duplicate values. Several things are indexed: while the second item has an index , the first item has an index .
- Ordered: When a tuple in Python is ordered, it means that the elements are in a specific sequence that won’t change.
- Unchangeable: Since tuples in Python are immutable, we cannot alter, include, or eliminate things once they have been added to the tuple.
- Permit Duplicates: Due to their indexing, Python tuples are capable of containing items with identical values:
Accessing Items in A Python Tuple
You can access a tuple in Python just like the way you use indexes to find things in a list. If the index value is specified, the object stored at the given index value shall be returned.
This data structure technique can efficiently retrieve information from a data structure. Several data types in Python, including lists and strings, support indexing.
You can also learn about other types of data structures in detail to upgrade your skills as a Python programmer.
Let’s take a simple tuple in Python with five natural numbers. As a result, indexing will begin at value 0 where the value 1 will be stored and continue until the end of the tuple, which is at value 5, where the index value will be 4.
Creating a Tuple
All the components (elements) must be enclosed in parenthesis (), each one divided by a comma, to form a tuple. It is a good habit to utilize the parenthesis, even though they are not required.
Any number of items, which could be of various types, could be included in a tuple in Python (string, list, float, integer, etc.
This method extracts a set of elements from a data type that allows element indexing, like Tuple in Python, using the slicing operator “:” Usually, the index value right before the slicing operator represents the Python Tuple starting index.
The starting index in the Python Tuple example above represents the index value before the slicing operator. The index value following the slicing operator represents the value that may not be incorporated in the output.
The output is limited to the value before the ending index. Even the negative index values can be used in conjunction with the slicing operator to extract the range of values from the Python tuple.
Python Tuple Methods
When busy with a tuple in Python, you can use the following Python tuple methods:
Index: It returns the specified item’s index
Count: Returns the items’ count
a = (1,2,1,4,1,6,1,8,1,6)
Advantages of Tuple over List in Python
Tuples and lists are employed in similar contexts because of their similarities. Yet, there are several benefits to using a tuple rather than a list:
- For unique (heterogeneous) data types, programmers typically use tuples, whereas, for homogeneous (similar) data types, they typically use lists.
- Tuple iteration is quicker than list iteration because tuples are immutable. There is a modest performance improvement.
- Tuples with immutable components can function as the key for a dictionary. This is not feasible with lists.
- Implementing data as a tuple will ensure that it stays write-protected if it never changes.
Difference Between Tuples and Lists in Python
|Typically accessed for heterogeneous data types
||Typically accessed for homogenous data types
|Immutable for faster iteration
|Immutable elements serve the purpose of a key to a dictionary
||No immutable elements available at all
|Executing a Python tuple with unchangeable data assures that it’s write-protected
||No data write-protection assurance available
With this comprehensive guide, you now know how to create a tuple in Python. The guide also covers topics related to Python tuples, including indexing, slicing, and more.
Lastly, the article covered the benefits, features, and examples of Python tuples too. If you want to learn more about Python, start off by grasping all information on Python Libraries.
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