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Data Structure

Data Structure

Data Structure Definition

Organising data logically in some type of structure for well memory optimisation and data manipulation is called data structure.

Why to learn Data Structure

Data Structure also known as DS. Data Structure is a very essential topic in computer science because most technologies like social networking sites, shopping sites , and various applications are made using data structure.

Search engines like Google use data structures to organise billions of pages. Facebook uses data structure to handle millions of posts. That's why data structure is valuable like a diamond. You should learn it in depth.

Advantages of Data Structure

Data Structure solves problems efficiently. We can add, delete , update, Insert any data using Data Structure.

As we know that daily we use various types of applications like whatsapp , facebook , Google , notes, docs, Excel, powerpoint all of these applications use data structure for adding data, deleting your data.

Data Structure gives us the ability to search, sort millions of rows of data.

Without data structure we aren't able to develop large scale software solutions. So, developing amazing softwares we need data structure. Various algorithms work fast on data Structure.

We can easily implement our algorithmic steps into actual working code using data Structure.

There are two main types of data structures

  • Linear data structure
  • Non-linear data structure

In Simple words linear data Structure stores data linearly in specific sequence, we can say in straight line and Non-linear data structure Stores data random sequence,in zig-zag line.Array, Linked list, Stack, queue are linear data structure and Graph,trees are Non-linear data structure.

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