Can I learn data structures and algorithms in 1 week?
Can I learn data structures and algorithms in 1 week?
Hence, it is not possible in a week. You’ll merely have the basic idea about what’s what – if that is you goal, then it’s fine. If you learn thoroughly, then 1 week isn’t at all enough. Originally Answered: Is it possible to lean Data Structures and Algorithms in a week?
Where can I practice data structure?
To start with, it has to be the first website I ever visited to solve some problems.
- HACKERRANK. Hackerrank has to be the first platform you should start coding.
- GEEKSFORGEEKS.
- CODECHEF.
- CODEFORCES.
- LEETCODE.
How do you study data structures and algorithms?
One of the best ways to study a data structure or algorithm is to implement it. Click To Tweet You don’t need to code up everything. There gets to be a point where it no longer benefits you, but for each data structure and algorithm, consider coding up any tricky bits. Write a deleteNode () method for a binary search tree.
What are the best data structures to learn for competitive programming?
If you are preparing for Job Interviews then you have a limited set of Data Structures to learn which are most commonly asked in the interviews, if you want to become a good competitive programmer then you will have to focus on complex data structures like Segment Trees, Fenwik Tree, Binary Indexed Trees etc.
Which is the best book to learn data structure in Java?
1. Data Structures and Algorithms: Deep Dive Using Java This is one of the most comprehensive courses on data structure and algorithms using Java. You will also learn about binary trees, balanced trees like AVL trees and Red-black trees, heaps including heapsort algorithm, and associative arrays and dictionaries.
Why should you take a data structure course?
You will not only learn about data structure but also about how to analyze your code’s time and space complexity using Big O notation and techniques to reduce them by making space-time trade-off. The course also covers the ins and outs of Recursion, a vital technique to solve many linked lists and binary tree-based questions.