What do you do if you're struggling to prepare for algorithm-related coding challenges in an interview?

-Assess weak areas in algorithmic problem-solving -Review fundamental data structures and algorithms such as arrays,linked lists,stacks,queues,sorting algorithms and searching algorithms -Practice solving algorithmic problems regularly on platforms like LeetCode,HackerRank -Focus on problem solving techniques such as brute force,greedy algorithms,dynamic programming, divide and conquer,backtracking -Analyze solutions to understand its efficiency, correctness and potential optimizations -Practice solving problems under timed conditions to simulate the pressure of an actual interview -Seek guidance from mentors,peers or online communities -Review Interview Experience -Practice mock Interviews -Stay persistent.

When tackling algorithm-related coding challenges for interviews, it's common to feel overwhelmed, but don't worry. To ease into it, start by revisiting the basics. Think of data structures like building blocks—arrays, linked lists, stacks, and queues. Understand why they're used and how they function. Then, dip your toes into simple sorting and searching methods, like bubble sort or binary search. By mastering these fundamental concepts, you'll build a sturdy foundation for handling more complex problems. Practice implementing them in your chosen programming language until you feel confident. Remember, it's about understanding the basics first before diving into the deep end.

In my opinion, DSA is all about pattern recognition. You solve and revise a lot of problems on a particular topic until you get very familiar with that particular pattern associated with it. Some common examples are Binary Search, Sliding Window, Backtracking, Dynamic Programming and more!

Here's a helpful trick: think of it like studying a pattern. Just like when you're learning to draw by following a pattern, coding challenges often follow certain patterns too.So, what you can do is learn these patterns, like how to solve . For example, imagine you're building a puzzle, and you notice that some pieces fit together in a certain way. That's like recognizing a pattern in coding challenges.Once you're familiar with these patterns, solving coding challenges becomes easier. It's like knowing the tricks to solve a puzzle quickly because you've seen similar puzzles before. So, by practicing these patterns, you'll get better at solving coding challenges faster and more effectively during an interview.

Building coding practice as a habit can bring positive impact. Utilize streaks and the timer features available on most platforms to build confidence and bring improvement to your skills.

Reviewing others' solutions often offers a fresh perspectives and alternative approaches. As a learner it's important be open to refine your problem-solving skills, and broaden your understanding.