Newbie to Newbie Blog Part Two
Algorithmic design and data structure techniques are at the core of creating efficient, structured programs. An algorithm is a logical set of steps for solving a problem, while a data structure organizes and stores information so those steps can run smoothly. The right combination makes a major difference in how fast and effectively programs perform. In large-scale systems such as a retail inventory database, efficiency is key because thousands of items must be processed, updated, and retrieved instantly to avoid delays in sales or restocking. Not every algorithm or structure fits every problem. Some designs are simple but slower, while others are more complex yet faster for large datasets. For example, insertion sort is easy to code but has an O(N²) runtime, while merge sort or quick sort handle large inventories more efficiently. When managing data, hash tables allow quick lookups for product IDs, while trees help organize items by categories or price ranges. The best choice depends ...