8 answers
Chinthana
Student
Mangaluru, Karnataka, India
1
Question
Updated
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What is the best programming language to learn DSA in for a CSE student in the current industry scenario?
I am a Computer Science Engineering student and want to start learning Data Structures and Algorithms for technical interviews and problem solving. Should I learn DSA in Java, Python, C, or C++? Also, could you suggest some free online platforms to learn and practice DSA?
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8 answers
Naresh Mekala
2
Answers
Farmington Hills, Michigan
Updated
Naresh’s Answer
Hi Chintana,
Learning DSA is really important for starting with any programming language because it boosts your critical thinking and problem-solving skills. I recommend beginning with Python or Java. Start with simple DSA concepts like searching and sorting, and gradually tackle more complex topics. Take your time to understand problems and think about how you can solve them yourself. You've got this!
Learning DSA is really important for starting with any programming language because it boosts your critical thinking and problem-solving skills. I recommend beginning with Python or Java. Start with simple DSA concepts like searching and sorting, and gradually tackle more complex topics. Take your time to understand problems and think about how you can solve them yourself. You've got this!
Maximus Alexander
6
Answers
Los Angeles, California
Updated
Maximus’s Answer
Pick one language and stick with it—don’t switch around.
If you want the simplest path, go with Python (easy syntax, fast for interviews).
If you’re aiming for strong problem-solving and competitive coding, choose C++ (faster, powerful STL).
Java is fine, C is not ideal for DSA prep.
For practice, use:
LeetCode – best for interview questions
GeeksforGeeks – concepts + problems
HackerRank – beginner-friendly
Codeforces – improve speed
Focus on basics → practice daily → learn patterns.
If you want the simplest path, go with Python (easy syntax, fast for interviews).
If you’re aiming for strong problem-solving and competitive coding, choose C++ (faster, powerful STL).
Java is fine, C is not ideal for DSA prep.
For practice, use:
LeetCode – best for interview questions
GeeksforGeeks – concepts + problems
HackerRank – beginner-friendly
Codeforces – improve speed
Focus on basics → practice daily → learn patterns.
Thank you for taking the time to answer my question. Your advice is very helpful.
Chinthana
Sandeep Khandelwal
Software Engineer
145
Answers
San Ramon, California
Updated
Sandeep’s Answer
Hello Chinthana,
For learning Data Structures and Algorithms many students prefer C++ or Java because they are widely used in technical interviews and provide strong control over data structures. If you want something simpler to start with, Python is also a good option because of its easy syntax.
For practice, you can use platforms like LeetCode, HackerRank, and GeeksforGeeks which offer many free problems and explanations to help improve your problem solving skills
For learning Data Structures and Algorithms many students prefer C++ or Java because they are widely used in technical interviews and provide strong control over data structures. If you want something simpler to start with, Python is also a good option because of its easy syntax.
For practice, you can use platforms like LeetCode, HackerRank, and GeeksforGeeks which offer many free problems and explanations to help improve your problem solving skills
Thank you so much for your detailed answer. It clarified my doubts and helped me a lot.
Chinthana
Dima Vizelman
Software Engineer
27
Answers
Tel Aviv-Yafo, Tel Aviv District, Israel
Updated
Dima’s Answer
I think being consistent and having good problem-solving skills are more important than the programming language you use.
For most computer science students, Python is a great choice because it's easy to learn and lets you focus on solving problems. Java is another good option, especially if you're interested in backend roles or preparing for job interviews, as it's widely used. C++ is excellent for competitive programming, but not everyone needs it. C is not recommended for data structures and algorithms interviews.
You can use free platforms like LeetCode, HackerRank, Codeforces, and GeeksforGeeks for coding practice. LeetCode is great for interview preparation with its structured problems and company tags. Codeforces is good for contests and more complex algorithm problems. GeeksforGeeks is helpful for learning basics and practicing.
And don't forget to work with AI a lot , its very important for your future
Hope this helps!
For most computer science students, Python is a great choice because it's easy to learn and lets you focus on solving problems. Java is another good option, especially if you're interested in backend roles or preparing for job interviews, as it's widely used. C++ is excellent for competitive programming, but not everyone needs it. C is not recommended for data structures and algorithms interviews.
You can use free platforms like LeetCode, HackerRank, Codeforces, and GeeksforGeeks for coding practice. LeetCode is great for interview preparation with its structured problems and company tags. Codeforces is good for contests and more complex algorithm problems. GeeksforGeeks is helpful for learning basics and practicing.
And don't forget to work with AI a lot , its very important for your future
Hope this helps!
Thank you for your guidance. This really helped me understand the right direction.
Chinthana
Teklemuz Ayenew Tesfay
Software Engineer and Career Mentor
677
Answers
Ethiopia
Updated
Teklemuz Ayenew’s Answer
Learn data structures and algorithms (DSA) using any programming language you like. Focus on solving problems rather than getting stuck on syntax. Python, Java, and C++ are popular choices. Python is great for beginners because it's easy to read. Java is useful for jobs in big companies, and C++ is good for fast coding in competitions, but it can be harder to learn. Before starting with DSA, make sure you know the basics like arrays, strings, loops, and recursion.
Be consistent and learn important patterns like recursion, trees, dynamic programming, BFS/DFS, two pointers, sliding window, and greedy methods. Practice to get faster at debugging and understanding Big-O complexity. Use sites like GeeksforGeeks, LeetCode, HackerRank, and Codeforces for practice. In interviews, explain your thoughts clearly, write neat code, and practice with mock interviews and timed problems. Recognize patterns and review them often to build intuition. Once you’re good at DSA, learning basic system design concepts like scalability and caching can help you apply your skills to real-world systems. For structured learning, use resources like Striver's A2Z DSA Sheet, NeetCode, and Blind 75. Platforms like CodeStudio and Codewars offer extra practice. Keep going and believe in your ability to improve!
Be consistent and learn important patterns like recursion, trees, dynamic programming, BFS/DFS, two pointers, sliding window, and greedy methods. Practice to get faster at debugging and understanding Big-O complexity. Use sites like GeeksforGeeks, LeetCode, HackerRank, and Codeforces for practice. In interviews, explain your thoughts clearly, write neat code, and practice with mock interviews and timed problems. Recognize patterns and review them often to build intuition. Once you’re good at DSA, learning basic system design concepts like scalability and caching can help you apply your skills to real-world systems. For structured learning, use resources like Striver's A2Z DSA Sheet, NeetCode, and Blind 75. Platforms like CodeStudio and Codewars offer extra practice. Keep going and believe in your ability to improve!
Thank you so much for your detailed answer. It clarified my doubts and helped me a lot.
Chinthana
It’s my pleasure!
Teklemuz Ayenew Tesfay
Srinivasa Gumma
Lead Data Engineer
3
Answers
Bengaluru, Karnataka, India
Updated
Srinivasa’s Answer
I recommend Python and SQL as the best script language now.
It’s mostly used in many tools, development, automation, and data science.
==>Here are a few insights to focus on Python:
Python (Pandas, NumPy), SQL, and essential statistics (probability, hypothesis testing) before building projects. Focus on data cleaning, exploratory data analysis (EDA), and visualization (Seaborn, Matplotlib). Begin with hands-on projects, such as analyzing public datasets, to build a portfolio
Programming (Python): Start with Python basics, focusing on syntax, data types, loops, and functions.
Data Libraries: Master libraries specialized for data science:
Pandas: For data manipulation and cleaning.
NumPy: For numerical operations.
Matplotlib/Seaborn: For data visualization and EDA.
===>Here are a few insights to focus on SQL:
• SQL (Structured Query Language) handles only structured data in a table, rows, and columns format
• SQL basics are essential for Data Analysis; you have to focus more on data functions, as I mentioned below
• Aggregate Functions: Summarize data using COUNT(), SUM(), AVG(), MAX(), and MIN().
• Also focus on CASE Statement, All joins, Logical Operators, and String & date functions
• You should know basic selection commands, like how to apply WHERE conditions, SELECT, and group by commands
Note: Continuous improvement is very important; you have to practice on a daily basis.
Best of luck!!
It’s mostly used in many tools, development, automation, and data science.
==>Here are a few insights to focus on Python:
Python (Pandas, NumPy), SQL, and essential statistics (probability, hypothesis testing) before building projects. Focus on data cleaning, exploratory data analysis (EDA), and visualization (Seaborn, Matplotlib). Begin with hands-on projects, such as analyzing public datasets, to build a portfolio
Programming (Python): Start with Python basics, focusing on syntax, data types, loops, and functions.
Data Libraries: Master libraries specialized for data science:
Pandas: For data manipulation and cleaning.
NumPy: For numerical operations.
Matplotlib/Seaborn: For data visualization and EDA.
===>Here are a few insights to focus on SQL:
• SQL (Structured Query Language) handles only structured data in a table, rows, and columns format
• SQL basics are essential for Data Analysis; you have to focus more on data functions, as I mentioned below
• Aggregate Functions: Summarize data using COUNT(), SUM(), AVG(), MAX(), and MIN().
• Also focus on CASE Statement, All joins, Logical Operators, and String & date functions
• You should know basic selection commands, like how to apply WHERE conditions, SELECT, and group by commands
Note: Continuous improvement is very important; you have to practice on a daily basis.
Best of luck!!
Thank you for sharing your perspective.
Chinthana
David Allen
Consultant
124
Answers
Dallas, Texas
Updated
David’s Answer
For a CSE student, C++ and Java are the top choices for DSA in the current industry. C++ is the favorite for competitive programming due to its speed and the Standard Template Library (STL), while Java is highly preferred by major tech firms for backend roles because of its strong object-oriented structure. Python is a great alternative if you want to focus strictly on logic during fast-paced interviews, but C++ or Java will give you a deeper understanding of how memory and data structures actually work.
To learn and practice for free, use GeeksforGeeks for conceptual tutorials and LeetCode for interview-style problem solving. You can also explore HackerRank for beginner-friendly coding challenges or freeCodeCamp for comprehensive video guides. Mastering one language is better than being average at three, so pick the one that aligns with your specific career goals—like C++ for speed or Java for enterprise systems.
To learn and practice for free, use GeeksforGeeks for conceptual tutorials and LeetCode for interview-style problem solving. You can also explore HackerRank for beginner-friendly coding challenges or freeCodeCamp for comprehensive video guides. Mastering one language is better than being average at three, so pick the one that aligns with your specific career goals—like C++ for speed or Java for enterprise systems.
Thank you for taking the time to answer my question. Your advice is very helpful, and I will follow your suggestions.
Chinthana
Hemant Negi
Software Developer
4
Answers
Delhi, DL
Updated
Hemant’s Answer
Hi Chinthana,
Start Here https://roadmap.sh/datastructures-and-algorithms
Think of this as your GPS for DSA, it tells you what to learn and in what order. Bookmark it right now.
Blind 75 is a curated list of 75 must-do LeetCode problems that cover almost every topic asked in tech interviews.
• Created by a tech worker who posted it anonymously on a forum called "Blind"
• Became the most famous interview prep list in the world
• Covers Arrays, Trees, DP, Graphs, Strings — all the important stuff
• If you can solve all 75, you're genuinely interview-ready
Free platform
- leetcode
- hackerrank
- neetcode
Start Here https://roadmap.sh/datastructures-and-algorithms
Think of this as your GPS for DSA, it tells you what to learn and in what order. Bookmark it right now.
Blind 75 is a curated list of 75 must-do LeetCode problems that cover almost every topic asked in tech interviews.
• Created by a tech worker who posted it anonymously on a forum called "Blind"
• Became the most famous interview prep list in the world
• Covers Arrays, Trees, DP, Graphs, Strings — all the important stuff
• If you can solve all 75, you're genuinely interview-ready
Free platform
- leetcode
- hackerrank
- neetcode
Thank you for the advice.
Chinthana