Sharing Knowledge: Data Structures and Algorithms

[ArturColen]

Hey everyone! 👋

I’m a Computer Science student passionate about learning and growing in this incredible field. Along my journey, I’ve been diving deep into topics that aren’t just crucial for my studies but also super practical for personal projects and, of course, the industry.

I’ve been thinking it would be awesome to start sharing some of this knowledge with you all—right here on GitHub Discussions and maybe over on Medium too! 🌟

I want to kick things off with Abstract Data Types (ADTs)—a foundational and fascinating topic that bridges theory and practice. But before I get started, I’d love to hear from you:
• What topics in Data Structures and Algorithms do you find most interesting or challenging?
• Is there anything specific you’d like me to explore or explain?

Your feedback would mean a lot and help shape the direction of these posts. Let me know what you think about this idea and what you’d like to see next!

Looking forward to learning and growing with this amazing community. Cheers! 🙌

[hassannasir1236]

Hey there!

Your idea to share knowledge on Abstract Data Types (ADTs) is fantastic! ADTs are indeed a bridge between theory and practical problem-solving, making them a great starting point.

Regarding your questions:

Interesting/Challenging Topics in Data Structures and Algorithms:

Graph algorithms (e.g., shortest path, network flows) are both practical and conceptually deep.
Dynamic programming often trips people up but is immensely rewarding once understood.
Advanced tree structures like AVL or B-trees can be fascinating and practical.
Suggestions for Exploration:

Use relatable examples (like social networks for graph traversal).
Cover the practical implications of ADTs (e.g., how queues power modern task schedulers).
Include coding examples with edge cases.
Your approach to sharing here and on Medium is inspiring, and I can’t wait to see your posts. The community will benefit greatly from your insights. Keep it up, and feel free to ask for feedback anytime. Cheers!