The efficacy and efficiency of the code must be taken into account when creating algorithms and data structures. You might wish to investigate the following popular subjects related to algorithms and data structures:
1. Sorting algorithms: Knowledge of various sorting algorithms, such as radix, bubble, selection, insertion, merge, and quicksort, will help you arrange data more effectively.
2. Searching algorithms: Acquiring knowledge of various search algorithms, such as A*, binary, breadth-first, depth-first, and linear search, can assist you in extracting particular data from a dataset.
3. Data structures: You may store and arrange data more efficiently by learning about data structures including arrays, linked lists, stacks, queues, trees, graphs, hash tables, and heaps.
4. Recursion and dynamic programming: By decomposing difficult issues into smaller subproblems, you can solve them more effectively if you understand the concepts of recursion and dynamic programming.
5. Big O notation: Understanding Big O notation is essential for analysing the time and space complexity of algorithms, which is necessary for maximising code performance.
