Overview:
Tuples and sets are both data structures in Python. Tuples are ordered collections of elements, which are immutable (meaning they can't be changed once created). Sets, on the other hand, are unordered collections of unique elements.
What is a Tuple in Python?
The POS system may have a tuple that contains the details of each order made by a customer. This tuple may include the customer's name, the items ordered, the quantities ordered, and the total cost of the order.
In Python, a tuple could be a data type comparable to a list but immutable, meaning it cannot be changed once made. A tuple is made by enclosing a sequence of values in parentheses, separated by commas.
Tuples can be utilized in Python in a restaurant's point-of-sale (POS) framework. Tuples can be created by placing elements inside parentheses, separated by commas. For example, a tuple of three elements could be created like this: (1," hello", True). Once created, the elements of a tuple can be accessed using indexing, just like with lists.
The Syntax of Tuple:
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Example:
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In this example, the tuple contains the following information:
Once the order is created, the tuple is immutable and cannot be changed. This means that the details of the order cannot be accidentally or maliciously altered by an employee. Tuples can also create more complex data structures, such as a list of orders or a dictionary that maps customer names to their orders.
How to Access Elements of Tuple?
In Python, you'll be able to get to elements of a tuple utilizing indexing. The indexing begins for the first element, 1 for the second element, and so on. To get to a tuple component, you can utilize square brackets [] with the index of the element you need to access. For illustration:
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You can also use negative indexing to access elements from the end of the tuple. The index -1 refers to the last element, -2 refers to the second last element, and so on. For example:
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You can also use slicing to access a range of elements in a tuple. Slicing creates a new tuple that contains the specified range of elements. You can use the colon: operator to slice a tuple with the start and end indices of the range you want to slice. For example:
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💡 Note that tuples are immutable objects, meaning you cannot modify the elements of a tuple once it is created. If you try to modify a tuple, Python will raise a TypeError.
What is Set in Python?
In Python, a set is a collection of unique elements that are unordered and mutable. One industry example of using sets in Python is data analysis. For instance, suppose a data analyst is working with a large dataset of customer transactions from an e-commerce platform. The analyst needs to extract a list of unique products that customers purchase during a specific time period.
Here, the analyst can use a Python set to efficiently extract a list of unique products. The analyst can create a set and iterate through each transaction in the dataset. The analyst can extract and add the product ID to the Set for each transaction. Since sets only allow unique elements, the Set will automatically remove duplicates.
Sets are created by placing elements inside curly braces, separated by commas. For example, three elements could be created: {1, 2, 3}. If there are duplicates in the Set, they are automatically removed. The elements of a set can also be accessed using iteration or various built-in methods.
Syntax for Set:
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Example:
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Operations on Sets:
You can use the add() method to add elements to a set. You can use the remove() or discard() method to remove an element. For example:
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We can also perform various set operations, such as union, intersection, and difference, using the |, &, and - operators, respectively. For example:
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How to Access Elements from set?
In Python, you can access elements of a set by looping through the Set or by using the in keyword to check if an element is in the Set. To loop through a set, you can use a for loop. For example:
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To check if an element is in the Set, you can use the i keyword. For example:
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You convert a set to a list or a tuple and access elements by index. In any case, since sets are unordered, the order of elements within the list or tuple isn't ensured to be the same as the order of elements within the Set. Hence, for the most part, it's not suggested to get to components of a set by index.
Which one is better to use Set or Tuple?
Tuples are an immutable collection of variables, while sets are mutable collections of variables. Which do you think makes the better choice? Tuples are immutable collections of variables, so they can't be changed after creation. Sets are mutable collections of variables, so sets can be changed after creation. The better choice is set because it allows us to add or remove items while the Set is in use.
Conclusion
In summary, tuples and sets are valuable data structures in Python, each with unique properties and use cases. Understanding their differences allows you to choose the right one for your needs and write more efficient, effective code.
Key Takeaways
Quiz
Answer: a. Tuples are immutable
Answer: b. variable_name=(tuple elements separated by comma)
Answer: a. Using the index 0
Answer: d. Sets are unordered and contain unique elements
Answer: d. variable_name={set elements separated by comma}
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