Learning Data Structures and Algorithms (DSA) is essential for becoming a well-rounded developer. DSA provides insights into the significance of time complexity and CPU cycles, enabling developers to refine their code, optimize it, and reduce its time complexity.
Here are some recommended resources for learning DSA:
Algorithmsby Princeton University: This underrated course offers comprehensive coverage of various essential algorithms and data structures. It can be accessed through Coursera.
- DSA playlist by Stanford University: This educational series, available on YouTube, provides valuable insights into data structures and algorithms. You can access it here.
- LeetCode: LeetCode is an online platform that offers a collection of DSA questions. It serves as an excellent resource for practicing DSA and preparing for interview questions. If you are new to DSA, it is recommended to start with the easy-level questions. You can visit LeetCode at leetcode.com.
Data Structures and Algorithms in Javaby the book: This book focuses on teaching DSA concepts using the Java programming language. It serves as a valuable reference for understanding DSA principles. The book can be found here.
By leveraging these resources, you can enhance your knowledge of DSA and improve your overall coding skills. Also try to be consistent when it comes to learning DSA try to give atleast a hour daily.