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A data structure is a method of gathering and arranging data so that we can effectively conduct actions on them. For more accessible organization and storage, data structures represent data items in terms of a relationship.
Programmatic data storage allows for efficient data utilization through data structures. Almost every corporate program uses different kinds of data structures in some fashion. You will gain a solid grasp of data structures through this course, which is essential if you want to comprehend the complexity of enterprise-level systems and the necessity for algorithms and data structures.
The data structures can also be classified based on the following characteristics:
| Characterstic | Description |
|---|---|
| Linear | In Linear data structures,the data items are arranged in a linear sequence. Example: Array |
| Non-Linear | In Non-Linear data structures,the data items are not in sequence. Example: Tree, Graph |
| Homogeneous | In homogeneous data structures,all the elements are of same type. Example: Array |
| Non-Homogeneous | In Non-Homogeneous data structure, the elements may or may not be of the same type. Example: Structures |
| Static | Static data structures are those whose sizes and structures associated memory locations are fixed, at compile time. Example: Array |
| Dynamic | Dynamic structures are those which expands or shrinks depending upon the program need and its execution. Also, their associated memory locations changes. Example: Linked List created using pointers |
Below are some of the everyday operations usually performed on data structures:
Operation | Description |
Searching | For searching for any data element in a data structure |
Sorting | Sorting the elements in ascending or descending order |
Insertion | Insert new data elements |
Deletion | Deleting the data elements |
Updation | Updating or replacing the existing elements |
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