How I Use Algorithmic Design and Data Structures to Build Smarter Programs
When I first started programming, I focused on “making it work.” Now, as I’ve learned more about data structures and algorithmic design, I’ve realized that how you make it work is just as important as making it work at all . Efficient algorithms and well-chosen data structures can make a massive difference in performance, memory usage, and scalability. Understanding Algorithmic Design Algorithmic design is about creating a clear, step-by-step solution to a problem before diving into the code. It’s not just about writing a loop or a function; it’s about designing a process that’s efficient and predictable. For example: A linear search checks every element in a list (O(n) time). A binary search cuts the search space in half each step (O(log n) time). Both work, but if the data is sorted, binary search is the clear winner because it saves time by reducing unnecessary comparisons. Choosing the Right Data Structure Data structures determine...