Many beginners and expert programmers avoid learning Data Structures and Algorithms because they believe it is difficult and that they would never use it in real life. However, if you’re serious about yourself and your future, you’ll need to think about improving yourself in any way you can, and data structures and algorithms will help you a lot and put you ahead of the great majority of programmers. Arrays, stacks, queues, and other data structures will be used, as they are in every programming language. As a result, it is vital to be aware of it. A smart programmer can write an algorithm for any problem statement that is presented to them. Algorithms assist you in creating a sequence of steps to solve an issue. It is not required for you to master all of the algorithms available. If you have a thorough understanding of DSA, you will naturally develop the practice of writing optimized code. You’ll learn how to reduce the complexity of your code by developing the necessary abilities. In general, software development necessitates continual learning of new technology. If you don’t understand algorithms, you won’t be able to tell if the code you’re developing now can be optimized. You must know them ahead of time and implement them whenever possible and necessary. We talked about algorithm scalability in particular. Many of these algorithms make up a software system. Any one of them can be improved to make the system better.
The following is a list of the topics you covered in this course:
- The big O Notation Algorithm is the subject of the first chapter. In this lesson, we’ll go through the big O Notation Algorithm in depth.
- The next chapter discusses memory management in Python. We study memory management in Python in depth.
- We learn about searching and sorting, hash tables, stacks and queues, linked lists, cashing, Trees, heaps, and graphs from chapter ten to sixteen.
- We learn about bit manipulation and dynamic programming in the last chapters.