Data Structures

Here's a list of data structures and algorithms I intend to review:

• Data types
• Basic Bitwise Operations
• String Operations
• Arrays
• Linked Lists
  • Singly Linked
  • Doubly Linked
  • Circular Linked
• Queues
• Stacks
• Heaps
• Trees
  • Binary Trees
  • Binary Search Trees
  • Tries
  • Self Balancing Trees
• Traversing Trees
  • Breadth First Search - BFS
  • Depth First Search - DFS
  • Preorder, Inorder, Postorder
• Graphs
  • Dijkstra's Algorithm / A* Search
• Hash Maps
  • Handling Collisions
• Sorting algorithms
  • Insertion
  • Selection
  • Merge
  • Quick
• Time Complexities

General Guides

Below are several guides, problem sets, and practice systems that are out there. These can help reinforce existing knowledge and technical skills.

• Sorting Algorithms
• Big-O Cheat Sheet
• Data Structures and Algorithms Overview
• Top 10 Algorithms for coding interviews

Problem Sets

• Data Structures Questions
• FitCoding
• Google CodeJam Practice Questions
• InterviewBit
• Tech Interview Handbook - Algorithms

Online Judging Systems

• LeetCode Online Judge
• HackerRank Online Judge
• Project Euler

Mock Interviews

• Interviewing.io - free
• Pramp - free

Here are some books that might also be useful:

• Algorithms, 4th edition, by Robert Sedgewick and Kevin Wayne
• Introduction to Algorithms, 3rd Edition, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein (also referred as CLRS)
• Think Complexity, by Allen B. Downey
• Problems on Algorithms, 2nd edition, by Ian Parberry and William Gasarch
• Data Structures and Algorithms in Java
• Cracking the Coding Interview, 6th edition, by Gayle Laakmann McDowell