How can you prepare for a successful algorithm interview?

For preparing for algorithmic interviews, I highly recommend reviewing the core concepts of programming and data structures with algorithms. Data structures like arrays, Linked lists, stacks, queues, graphs, trees and hash tables are quite often asked in interviews. You must also practice algorithms like search, sort, recursion, traversal, dynamic programming, and greedy approach. You must aim to optimize the code's time and space complexity and communicate your thought process of solving any question clearly.

Practice! Practice! Practice!!! Also check which companies ask what algorithms and emphasize more on them. Be clear of basics as well.

Proficiency in fundamental data structures (arrays, linked lists, stacks, queues, trees, and graphs) and algorithms (quicksort, mergesort, binary search, BFS, DFS) is vital. These concepts, coupled with understanding Big O notation for time and space complexity analysis, form the cornerstone of efficient problem-solving in computer science. Big O notation quantifies the scalability and efficiency of algorithms, providing insights into their performance as input size grows. Mastery of these fundamentals is indispensable for success in algorithmic interviews, reflecting the ability to design and implement optimal solutions, a key requirement in the tech industry.

1. Prepare for all the basic concepts of programming. 2. Object-oriented concepts are a must to know. 3. Search the previously/ recently asked question by the Employer from various websites like Leetcode, glassdoor, etc. 4. Practice whiteboarding as much as possible.

Basics are the important key to learn algorithms. By having strong understanding in basics we can understand algorithms quickly. This help to improve our confidance levels and enthusiasm to learn more and more.

These online platforms makes learning data structure and algorithms competitive and fun. Keys habits that these platforms helps us to build: 1. Writing code under time bound environment. 2. Using suitable algorithms on basis of constraints. 3. Coverage of corner cases in the solution.

Pick one platform to practise algorithms daily. Practising is the key to be master in algorithms. choose leetcode or hacker rank to practise algorithms daily. understanding the problems and patience also play a crucial role in learning . focus on basics first and then go through tough problems.

- Choose reputable platforms like LeetCode for algorithm practice. - Progress systematically from basic to medium and then harder problems. - Understand diverse solutions; focus on optimal approaches. - Practice time management by setting realistic constraints. - Analyze mistakes to identify weaknesses and learn from them. - Explore various algorithmic topics, including arrays and trees. - Engage in discussions on platforms; learn from alternative solutions. - Consistently practice; regularity is more effective than intensity. - Participate in mock interviews for real-world simulation.

Many of these services will give you tailored algorithmic problems for the role or company you are applying for. This way you can enter the interview knowing that you have prepared at the appropriate level.

Numerous online platforms provides the company specific or the previously asked questions, familiarize yourself with those question before the interview.

- Use a quiet space with minimal distractions. - Set a timer to simulate interview time constraints. - Solve problems on a whiteboard or paper. - Verbally explain your thought process while solving problems. - Practice problem-solving aloud to express ideas clearly. - Dress professionally to maintain a professional mindset. - Conduct mock interviews with a friend or mentor. - Adhere to company guidelines regarding technology and tools. - Leverage platforms offering timed algorithm challenges. - Reflect on the experience, identifying areas for improvement.

Whenever in any competition you are not able to solve a problem; after the competition is over always try to look at the concepts or solutions and try to solve the problem. This is a very good way to learn to code. This is called "upsolving" a problem

Thumb rule: Problem decomposition, Helps a lot. 2. Keep yourself updated with problem solving strategies. 3. Practice more.. geeksforgeeks and leetcode are my personal favourites. 4. Ask GTP to find you a complex algorithm, there is nothing wrong challenging AI bot 😉 5. Always, build your algorith around common sense and logic. ---- Thats it, you're good to go.

After going through several coding interviews, you start to notice the mistakes you frequently make. It's important to write these down, review them, and learn how to solve these issues. The more you practice with mock interviews and sample questions, the better you will become.

Learn from our own mistakes is the efficient way to learn algorithms quickly. By solving our own mistakes improves confidance and logical ability so we can understand and learn effectively. This can be achieved by practising more and more to became expert in algorithms.

- Company's Website: Explore mission, values, and recent achievements. - Job Description: Analyze role requirements and key responsibilities. - LinkedIn Profiles: Check current employees and team structure. - News and Publications: Read recent news and publications. - Glassdoor Reviews: Check employee reviews for insights. - Technical Stack: Identify common technologies used. - GitHub Repositories: Review public repositories for code quality. - Social Media Presence: Follow for updates and culture cues. - Interview Experiences: Research others' experiences. - Prepare Questions: Develop insightful queries for the interviewer.

It's really helpful to read up on the company's website to get a good idea of what they do and the products they make. This way, you can figure out how you can contribute to their goals. Also, go through the job description carefully to understand what they need. This helps you tailor your skills and experience to show you're the right fit for the job. Plus, it can give you insights into what to talk about in your interview or in your application.

Here are few points that looks important for algo interview/prep... 1. Master Time Complexity: Developing a comprehension of the time and space complexities inherent in algorithms is vital. For job interviews, Practice analyzing time complexities of different algorithms and hone the skill of selecting the most effective solution for a specific problem. 2. Understand Common Patterns: Algorithms exhibit recurring patterns. Identifying these patterns can greatly streamline the process of problem-solving. Set aside adequate time to examine and practice implementing these patterns. 3. Ask Questions: Don't be afraid to ask questions to fully comprehend the problem and gather important information before sharing you view.