This Structured path helps me to master DSA
After this you won't be worry about data structures and algorithms.
Learning data structures and algorithms can be a bit difficult, and many people fail to master them. However, after reading this article, you will gain a clear understanding of how to master data structures and algorithms. This will enable you to solve any coding problem.
Before jumping directly into the solution, let's discuss the most common mistakes that beginners make and the things you should avoid while learning data structures and algorithms.
1. Not following a structured path.
The biggest mistake that beginners make is not following a structured path. Instead, they visit random coding websites and choose any topic or question to solve. After completing one question, they move on to another topic. This is a common mistake that beginners make, and it doesn't help in strengthening their problem-solving skills.
2. Ignoring the difficulty levels.
The second common mistake that many people make is not solving coding problems according to their difficulty level. They solve fewer easy problems on a particular topic and immediately jump to medium or hard-level problems. They don't pay attention to the recommended ratio of problem-solving. I believe this is the biggest mistake beginners make because if you don't solve problems according to their difficulty level, you won't be able to develop the skills necessary to tackle harder problems in the future.
3 . Not using pen and paper.
The third mistake that most of us make is not using pen and paper. When you encounter a new coding problem for the first time, you shouldn't just think by staring at the screen. Instead, try solving the problem by writing down your approach on paper. By doing this, you will gain more clarity about your approach and can perform dry runs of your code using different test cases. Once your approach works perfectly, you can then proceed to write your code on the computer.
4 . Not being consistent.
The last mistake on our list is not maintaining consistency. If you don't solve coding problems regularly, you won't become proficient in problem-solving. Remaining consistent in solving coding problems is crucial. Even solving 2 to 3 coding problems per day can greatly benefit you in the long term.
Solution of all Problems
Now, let's discuss the solution to all these flaws. I am excited to share with you a well-structured path that guarantees success in solving coding problems. This comprehensive list comprises over 700 carefully selected coding questions, meticulously organized based on their difficulty levels.
This list stands apart from the typical offerings found on the internet that promise mastery of DSA (Data Structures and Algorithms) in unrealistic timeframes such as 30, 60, or 75 days. It has been designed with beginners in mind, ensuring a friendly learning experience. The questions are arranged in a specific order, prioritizing which ones should be tackled first. Each question is accompanied by a provided link for easy access.
Furthermore, the questions are grouped according to a day-wise plan, which outlines the recommended number of problems to be solved each day. Additionally, there is a feature that allows you to mark a question as completed once you have solved it. I emphasize once again that this list is unlike any other, and it will greatly aid you in mastering DSA. You can directly access the sheet using the link provided below and also share it with your friends. Your feedback on this list would be greatly appreciated.