Why Data Structures are must?

With a large increase in data every passing day, the role and need of data scientist in a company is getting bigger. Data is something which is always going to increase anyway and the task to organise that data in a manner that it can retrieved with much more feasibility is very important. But this blog is not about data scientists instead I will be focused to provide the information of an even more important topic and also every company HR expect a programmer to be thorough with, which is Data Structures.

What are Data Structures?

Data structures is basically a way of storing information and organising them in a computer in such a way that it can be retrieved and when needed, used most productively. Different kinds of data structures are meant for different kinds of applications, and some are highly specialized to specific tasks.

Where are Data Structures used?

Data structures are used in almost every program or software system. Data structure as already stated is the way to organise data or information. With a slight thinking, you can guess that the way we organize information can have a lot of impact on the performance. Take for example, a library. Suppose, you want to have a book on Set Theory from a public library, to do that you have to first go to the maths section, then to set theory section. If these books are not organized in this manner and just distributed randomly then it will be really a cumbersome process to find a book on set theory.

As a programmer, what is the purpose and why is it that important to learn Data Structures?

1. Think of programs like compilers which convert your source code to your target language. If you examine what’s happening you’ll find a lot of data structures like Hash-table or balanced binary search trees for symbol tables, stacks and automaton in case of lexers and parsers, trees (like Abstract Syntax Tree) and so on.

2. In Database systems : Imagine something like Facebook where you have billions of records. No, you can’t afford to do a linear search every time. How do they manage to make it that fast? Indexing? What is it? Look up search trees – BST, B-Trees etc. These are all what good programmers tends to use!

3. The use of proper data structures and abstractions make your software easy to understand, maintain, robust and scalable.

How can I get started with Data Structures?

If you are from a Computer Science or IT branch, it’s going to be there in the college curriculum. It’s always recommended to get used to start practicing the programs using proper Data Structures. In any case, it is always a must as an programmer to keep a book of Data Structures, so you can go through the topics like Arrays, Linked Lists, Stacks, Queues, Trees, graphs, search algorithms, sorting, etc.

So, if you think you are a good programmer, there is need to also check how much data friendly your code is. You can check out some interesting courses on http://www.LearnCodeOnline.in .

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