What do you do if you want to master advanced data structures in Algorithms?

Mastering advanced data structures in algorithms requires combination of study,practice and experimentation -Have strong understanding of basic data structures such as arrays,linked lists,stacks,queues,trees -Study the theoretical aspects of advanced data structures by studying textbooks,online resources -Implement advanced data structures from scratch using a suitable programming language -Analyze time and space complexity of operations performed on advanced data structures -Explore advanced data structures such as heaps,priority queues,AVL Trees,B-Trees,Segment Trees,Fenwick Trees,Tries and Disjoint Set -Solve algorithmic problems using advance data structure -Experiment with different advanced data structures to solve real-world problems

Best way to grasp basic and advanced data structure concept is : 1. Learn the theoretical concepts of each data structure from website like geeksforgeeks or from good youtube videos. 2. Solve leetcode problems on it. 3. Also try to see the real use case of data structure in practical scenarios. For eg: difference between list and linked list and when to use them etc.

Grasping basics is actually a building block for any advanced topic. Instead of solving complex problems, you should focus on the CRUX of any data structure. example Work on singly linked lists before working on trees; recursion and backtracking before focusing on dynamic programming. Implement stack and queue using arrays, solve two-pointer problems and normal binary search problems. Once you start playing with nodes, solve advanced linked list, tree, and trie questions. Once you master recursion and backtracking, solve dynamic programming problems using a top-down approach.

- Dive into textbooks on algorithms focusing on foundational concepts. - Practice implementing data structures like stacks, queues, and linked lists in different programming languages. - Participate in coding challenges on platforms like LeetCode and HackerRank - Try Analyzing advanced DS like trees, graphs, and heaps. - Collaborate with peers online and discuss - Review code snippets and solutions - Optimize algorithms using advanced data structures. - Attend workshops, webinars, and seminars by industry experts to deepen understanding. - Participate in coding competitions to test and enhance proficiency in applying advanced data structures. - Continuously refine skills through consistent practice and exposure to diverse problem sets.

I am currently learning about data structures, beginning with theory and quizzes. It's important to understand why algorithms are necessary but don’t spend too much time on theory. Instead, focus on developing strong logical reasoning skills after learning about them. Mastering the art of creating a solution mind map is more crucial than perfecting coding itself. When it comes to coding, start with simple problems, even using brute force methods if necessary. The key is to practice solving problems on your own before looking at solutions. Then if you are not able to solve, try to solve again after 2 weeks after reading about it more.

Binary indexed tree, Segment tree, Dynamic programming with profile, Knuth Morris Pratt algorithm, etc. The more advanced algorithm the more advanced academic knowledge is required. You need to understand mathematical notations, boolean algebra, proofs, axioms, theorems, etc. It can be tough, but it also can open a new interesting scientific world of algorithms you didn't know before. It is different from solving Leetcode and passing MAANG interviews. A good start can be: - Course: Algorithms, Part II from Princeton University taught by Robert Sedgewick - Book: Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein

Best ways to resume working on Data structures and algorithms with switch in programming languages: 1. Skim through basic data structures with its applications in real life for better correlation amongst the concepts 2. Be thorough in the theoretical understanding of the advanced data structures 3. Analyse the areas of application of these advanced data structures 4. Hold firm understanding on basics and implementation of your preferred programming language 5. Start implementing with a fresh approach. As the advanced data structure implementation might differ from one programming language to another

Knowledge of theoretical concepts helps in implementing the same. It's like, if you understand the problem statement, the solution will be very easy. It will be very tough to implement/practice advanced data structures without having theoretical knowledge. For example, you should be clear about the principles of stack and queue before actually solving problems on the same. You should be clear about the importance of graphs and tries before solving them. So, we must have theoretical knowledge before solving complex problems.

To master advanced data structures in algorithms, I would suggest to start by studying the theory behind advanced data structures. Understand their properties, operations, and the scenarios in which they are most useful. There are many resources available, including textbooks, online courses, and academic papers, that delve into advanced data structures. Also Study code implementations of advanced data structures written by others.

A solid theoretical understanding of advanced data structures is the starting point. You have got to figure out how to solve practical problems with the theory as well. But first, the term "advanced data structures" is so subjective. But we can agree that these kinds of data structures are usually non-linear. To list but a few: 1. Binary trees 2. Binary search trees 3. Heaps 4. Tries 5. Graphs These kinds of data structures differ from there linear counterparts solely based on their traversal methods and how they are represented in computer ram. Some guidelines to follow for when you are studying them: - Understand the time and space complexities. - Understand all associated algorithms. - Solve A LOT of problems with them. Cheers!

Want to be a data structures ninja? Here's the secret recipe: Brain food first! Dig into theory with websites or YouTube channels. Practice makes perfect! ?? Tackle problems on LeetCode to test your knowledge. See it in action! Explore real-world uses. When to use a list vs a linked list? That's the magic!

To solidify your understanding and knowledge of Data Structures and Algorithms, I recommendation you to solve problems of various kinds. Make it a consistent practice to solve coding questions covering various data structures and communicate your approach with your peers. Coding platforms like hackerank, codechef, leetcode are helpful and you can test your understanding by taking challenges.

For solving the data structure problems need to choose the online coding platform, focus on one data structure at a time, try to implement the solutions in more than one way. Once you feel confident, tackle problems that might require the use of two different data structures, such as using heaps and hash tables together.

Just stop being lazy and study hard. It's not that complicated honestly. These collaborative articles are best filled up by GPT responses.

Theory without Solving Problems on DSA, doesn't help you in getting selected on interviews or solve codeforces / leetcode hard problems on live contest. All you need to do is : 1) Search for some video or articles on internet. 2) Learn the bedrock of that algo or data structure very well. Eg: Dijikstra, try solving on pen paper. 3) Now just save the template codes, no need to reinvent the wheel on a live contest. 4) As problems generally don't be so direct, you have to twist turn then apply the data structure or algorithm to solve a problem overall. 5) Practice Practice, Up solve Up solve is the only magic.

Data structures are like tools in your coding toolbox. But how do you become a master carpenter? Practice! Dive into online coding challenges where you can tackle problems that require these structures. Begin with puzzles designed for the specific structure you're learning. Then, as you gain confidence, test your skills with trickier problems that combine structures or even ask you to invent a new one!

To analyze the solution, practice doing dry runs, by noting each step's state. Create a table tracking all the variable as each step progresses in the algorithm, detail the inputs, outputs, and the intermediate states. This structured approach help in getting a deeper understanding of complex algorithms. Eventually helping in mastering.

In the quest to understand complex algorithms, a fundamental practice emerges: the art of dry runs. Regardless of the algorithm or problem at hand, this method proves invaluable. Step by step, practitioners meticulously document the state of variables, tracking inputs, outputs, and intermediate stages. This structured approach serves as a guiding light, illuminating the inner workings of even the most intricate algorithms. Through repetitive practice, a deeper understanding unfolds. Concepts once shrouded in mystery become clear, empowering individuals to master algorithms with confidence.

Add more perspective to your POV. Many experts out there have many weird ways to solve the problem. share to be shared; it's a way to learn and grow. You can try to share what you know with someone new to the field. Even sometimes, it gives you motivation to move on or hold you down; keep it up. The IT field changes every day; keep connected and keep up with the pace.

Learning from Community is very important for algorithm learning. Whenever you are stuck with something, after giving ample amount of time (say at most 1 hour), you should try to explore blog, feeds, community channels (discord group). Chances are high someone else also faced the same problem or came up with a different approach which you never thought about.

Introduction to Algorithms by Cormen et al. is widely considered the best literature you can study to learn the foundations of data structures and algorithms. It covers each concept, provides correctness proofs, and theoretical performance analysis. What many beginners might not recognize is that discrete mathematics is prerequisite material that should be understood before tackling DSA concepts. The appendix provides a very brief overview of this subject matter; however, it is likely inadequate if you have never learned the material. Discrete Mathematics and its Applications by Rosen provides a strong foundation upon which you can learn and understand DSA.

I like to tell stories; luckily, I made some along the way when I was trying to feed my dream. When we don't agree on something, just let them talk it out, find the reason, and solve it. Keep sharing; not only does sharing make you happier, but you also learn the art of sharing. You will be more humble and find out your inner self. It is easier to accept differences and other perspectives. You learn the art of communication and find that it's not about blaming others; it's just about debating and arguing. Find out what the point is, what they need, and why you care.