What is Data Structure & Algorithms?
DSA is defined as a combination of two separate yet interrelated topics – Data Structure and Algorithms. DSA is one of the most important skills that every computer science student must have. It is often seen that people with good knowledge of these technologies are better programmers than others and thus, crack the interviews of almost every tech giant.
A data structure is defined as a particular way of storing and organizing data in our devices to use the data efficiently and effectively. The main idea behind using data structures is to minimize the time and space complexities. An efficient data structure takes minimum memory space and requires minimum time to execute the data.
Algorithm is defined as a process or set of well-defined instructions that are typically used to solve a particular group of problems or perform a specific type of calculation. To explain in simpler terms, it is a set of operations performed in a step-by-step manner to execute a task.
What should I learn first, C++ STL or DSA?
C++ Standard Template Library (STL) is like a toolbox in programming, full of pre-made tools for common tasks. It provides ready-to-use classes and functions, making coding faster and easier. On the other hand, Data Structures and Algorithms (DSA) are like the building blocks of smart code. They teach how to organize and solve problems efficiently. If you’re just starting, learn DSA first for a solid foundation. Both are crucial for becoming a skilled programmer.
Table of Content
- What is a Standard Template Library (STL)?
- Components of Standard Template Library (STL)?
- What is Data Structure and Algorithms?
- Why STL and DSA are important to learn?
- Relation between STL and DSA
- Advantages and Disadvantages of learning STL first
- Advantages and Disadvantages of learning DSA first