How to effectively learn Algorithms

Education

How to Effectively Learn Algorithms

When I was preparing for coding interviews back in 2018, I would go through algorithm problems in a random order and try to solve as many problems as I could. A lot of the time, I would encounter a problem and have no idea how to solve it. Even after looking at the solution, I couldn't understand it.

Hundreds of problems later, I realized my mistake. If you're trying to solve a backtracking problem, for example, it's going to be really difficult unless you already have a good understanding of trees. This is obvious in hindsight, but a lot of people make this mistake.

That's exactly why I created this roadmap—to help you avoid the same mistake. It's like a video game; you shouldn't go to the next level until you're ready. It shows you the best order to learn topics with several practice problems for each. Every problem has a detailed video solution and code solution in several languages, including Python, Java, JavaScript, C++, and more.

I really think this is going to help you out because since 2022, it's already been used by over a million people. You can check it out for free on n code.

Keyword

  • Roadmap
  • Coding interviews
  • Algorithm problems
  • Understanding
  • Trees
  • Backtracking
  • Practice problems
  • Video solution
  • Code solution
  • Programming languages

FAQ

Q: Why is it important to follow a roadmap when learning algorithms? A: A roadmap provides a structured approach to mastering algorithms. It helps you build foundational knowledge in a sequential manner, making it easier to tackle more complex problems.

Q: What are the benefits of solving practice problems? A: Solving practice problems reinforces your understanding of algorithms, helps identify areas of weakness, and improves problem-solving skills.

Q: How can video solutions aid in learning algorithms? A: Video solutions offer step-by-step explanations of how to approach and solve a problem. They make it easier to understand the thought process and techniques involved.

Q: Why should I learn multiple programming languages for algorithms? A: Knowing multiple programming languages allows you to approach problems from different perspectives, making you a more versatile and adaptable developer.