Data Structures are typically used
to organize, process, retrieve and store data on computers for efficient use.
Having the right understanding and using the right data structures helps
software engineers write the right code.
Master Data Structures and Algorithms With the DSA Coaching by Ankush
Kumar
Secure product interviews with
understanding of crucial data structures and algorithms, and their
implementation
Build intuition on the inner
workings of various DSA, a foundational skill for any top software engineer
Clear your concepts and know which
data structure to use for the most optimum build
What are
the types of Data Structures?
There are two types of Data
structures:- Linear Data structure: If the elements of a data structure result
in a sequence or a linear list then it is called a Linear data structure. Every
data element is connected to its next and sometimes previous element in a
sequential manner. Example - Arrays, Linked Lists, Stacks, Queues, etc.
Non-linear Data structure:- If the
elements of a Data structure result in a way that the traversal of nodes is not
done in a sequential manner, then it is a Non-linear data structure. Its
elements are not sequentially connected, and every element can attach to
another element in multiple ways. Example - Hierarchical data structure like
trees.
Why are
Data Structures important?
Data structures are a key component
of Computer Science and help in understanding the nature of a given problem at
a deeper level. They're widely utilized in Artificial Intelligence, operating
systems, graphics, and other fields. If the programmer is unfamiliar with data
structure and Algorithm, they may be unable to write efficient data-handling
code.
· A strong grasp of this is of paramount
significance if you want to learn how to organize and assemble data and solve
real-life problems
· Almost all product-based companies
look at how strong you are at data structures, so it will also help you in your
day-to-day work
· Knowing when to apply the proper
data structures is an important step to write efficient code by managing data
properly
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