DSA (Data Structures And Algorithms) Roadmap
Data Structures and Algorithms are at the base of almost every application we code, every project we create. Interviews for developers involve DSA as it helps test logic and problem solving skills of the candidate. In recent years, there has been as enormous growth in the number of competitive programming websites and courses provided in DSA.
Step 1 - Language
The choice of a programming language solely depends on your priorities. Most people choose either C, C++, Python and Java. Each of them have their fair share of pros and cons. The following 5 Factors can help you determine which programming language will suit your needs the best :
Step 2 - Fundamentals
Great buildings need solid structures. start with the basics, try to get a grip around pointers, structures, classes, recursion and dynamic memory allocation.
Step 3 - Big-O Notation
This is the back-bone of time complexity, it's very useful when sorting big amount of data
An array of 10,000+ items.
Step 4 - Data Structures
Now that you know the basics, got comfortable with a programming language, it's time for an intro. Start you're learning with array and list, stacks, queues, hash tables, trees, heap, graphs.
Step 4 - Algorithms
Algorithms are the harder parts of the bunch, it's not hard but it won't be easy. you'll learn the concept on Sorting Algorithms. #dsa #datastructuresandalgorithms