Set .intersection() Operation in Python – Complete HackerRank Solution Explained Step-by-Step
While solving Python problems on HackerRank, you’ll likely find the Set .intersection() in Python question.
It’s a quick challenge that shows how to find what’s common between two sets – a trick that’s surprisingly useful in real projects.
Beginners who wish to learn how Python sets operate, particularly how to quickly identify the common elements between two sets, will love this exercise.
In this comprehensive guide, you will discover:
- The functions of the .intersection() method
- How to approach the HackerRank problem step-by-step
- Why sets are so effective at managing data
- Common errors made by beginners
By the end, you will be able to use Python’s Set .intersection() Operation with confidence in both coding challenges and practical settings.
Knowing Python Sets
In Python, an unordered collection of distinct elements is called a set. In addition to supporting mathematical operations like intersection, difference, and union, it automatically eliminates duplicates.
Example:
Output:
The advantage of using sets is that the duplicate 3 vanishes!
What Does Set.intersection() Operation in Python Do?
Elements that are present in both sets are found using Python’s Set.intersection() operation.
As an example:
Output:
{3, 4}
The & operator is another option:
print(A & B)
The set of shared elements is the outcome of both approaches.
The HackerRank Challenge: Using the Set.intersection() Function
There are two student groups involved in this HackerRank problem:
- One group buys the English newspaper.
- The other group has a subscription to the newspaper in France.
- A few students study both newspapers.
It is your responsibility to determine the number of students in each group.
The format of input
- Number of subscribers to English newspapers in the first line
- Second line: English readers’ roll numbers
- Third line → the quantity of French newspaper readers
- Fourth line: French readers’ roll numbers
Example Input
Example Output
A description
The roll numbers of the students who read both newspapers are {1, 2, 3, 6, 8}.
As a result, five students subscribe to both.
Python Solution for Set .intersection() Operation
A Step-by-Step Guide
Read Input Values
The first and third lines show the total number of subscribers.
They aren’t used directly later, but HackerRank needs them for its input format.
-
Create Sets
Space-separated roll numbers are converted into a set using set(input().split()), which automatically eliminates duplicates. -
Find Common Elements
The key line:
eng_students.intersection(fre_students)Only students who are present in both sets are included in the new set that is returned.
Count the Similar Components
The total number of shared roll numbers can be found using len().
Using & Operator Alternatives
Another way to make your code shorter is to use:
The Python problem of the Set.intersection() Operation is correctly resolved by both methods.
Important Idea: Intersection Gives Back a Set
The original sets are unaltered by the intersection() method.
It generates a fresh set with only elements that are shared.
Example:
english = {"A", "B", "C", "D"}
french = {"C", "D", "E"}
print(english.intersection(french))
Why This Idea Is Important
Python’s Set .intersection() operation is very helpful in:
Finding overlapping entries in datasets through data analysis
Database operations: to find records that match
Email marketing: identifying users who show up in several subscriber lists
Competitive programming enables fast and memory-efficient comparisons.
Understanding intersections makes it much easier to use other set operations like union() and difference().
Avoid these common mistakes.
- Ignoring the need to convert lists to sets before intersection
- When you require the count, use intersection() without len().
- Because sets are not ordered, we expect ordered output.
confusing the operators & and | (keep in mind that | stands for union)
Other Set Operations to Investigate
- After you are proficient with Python’s Set .intersection() operation, try these:
- Union (.union()) → blends every distinct element from both sets.
- Difference → elements in one set but not the other (.difference()).
- Symmetric Difference → elements in one set but not both (.symmetric_difference()).
- These techniques form the basis of Python’s potent set theory features.
Final Thoughts
In Python, the Set.intersection() operation is straightforward but incredibly useful.
It facilitates the rapid and clean identification of shared data between two sources, which is a crucial ability for data-driven applications and coding interviews alike.
We applied this idea in the HackerRank problem to identify students who read both French and English newspapers.
However, the same reasoning holds true for any circumstance in which you need to identify what is common, whether it be customers, goods, tags, or anything else!
To improve your Python skills, keep working on related HackerRank problems.
Every little idea like this lays the groundwork for more difficult programming problems.
Visit YouTube to View the Complete Solution
Check out my YouTube tutorial, where I run and walk through this exact code in real time, if you want a step-by-step video explanation.
YouTube Video:-
Do you want to learn more? Here are a few places to visit:
Related Post:
- HackerRank Collections.deque() Solution in Python
- HackerRank Python Solution – Using itertools combinations_with_replacement | In 5 Easy Steps
-
Conclusion:The fusion of data science in the finance sector is not just a technological evolution but also a fundamental shift in the way the financial industry operates. From predictive analytics to personalized financial services, the applications of data science are reshaping traditional practices and opening up new possibilities. As we all move forward, the synergy between finance and data science will continue to evolve, creating a more robust, efficient, and resilient financial ecosystem. In this data-driven era, those who embrace the power of data science will be at the forefront of innovations and success in the world of finance.
Want to know what else can be done by Data Science?
If you wish to learn more about data science or want to advance your career in the data science field, feel free to join our free workshop on Master’s in Data Science with Power BI, where you will get to know how exactly the data science field works and why companies are ready to pay handsome salaries in this field.
In this workshop, you will get to know each tool and technology from scratch, which will make you skillfully eligible for any data science profile.
To join this workshop, register yourself on ConsoleFlare, and we will call you back.
Thinking, Why Console Flare?
Recently, ConsoleFlare has been recognized as one of the Top 10 Most Promising Data Science Training Institutes of 2023.
Console Flare offers the opportunity to learn Data Science in Hindi, just like how you speak daily.
Console Flare believes in the idea of “What to learn and what not to learn,” and this can be seen in their curriculum structure. They have designed their program based on what you need to learn for data science and nothing else.Want more reasons?
Register yourself on ConsoleFlare, and we will call you back.
Log in or sign up to view
See posts, photos, and more on Facebook.

