Learning Data Structures: Key to Good Programming

Year : 2026 | Volume : 04 | Issue : 01 | Page : 29 39
    By

    V. Basil Hans,

  1. Research Professor, Department of Management and Commerce, Srinivas University, Mangaluru, Karnataka, India

Abstract

Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks. It explains how selecting and using the correct data structures may speed up computations, optimize memory, and scale code. How data structures and algorithms relate and how to think about time and space complexity to make better software choices are also covered. Beginners and experts can use this article. It encourages them to solve problems and develop good code while building a strong conceptual foundation. You need more than a programming language to develop efficient and scalable computer science programs. You must understand data organization, storage, and modification. Here comes data structures. Developers can search, sort, and update data more easily with data structures. Software systems must work well as they become increasingly complex. Selecting an appropriate data structure can greatly optimize both memory usage and processing speed, ultimately improving the overall performance of an application. From basic arrays to complex graph structures, each data structure has a distinct function and is best suited for certain problems. Data structures and algorithms are closely related and are the fundamental techniques to address programming challenges. Understand these concepts to write better code, prepare for technical interviews, and solve real-world software development difficulties. This essay explains data structures, their importance, and how to program efficiently.

Keywords: Data structures, algorithms, time/space complexity, programming efficiency, problem resolution, computing performance

[This article belongs to International Journal of Data Structure Studies ]

How to cite this article:
V. Basil Hans. Learning Data Structures: Key to Good Programming. International Journal of Data Structure Studies. 2026; 04(01):29-39.
How to cite this URL:
V. Basil Hans. Learning Data Structures: Key to Good Programming. International Journal of Data Structure Studies. 2026; 04(01):29-39. Available from: https://journals.stmjournals.com/ijdss/article=2026/view=246377


References

Regular Issue Subscription Review Article
Volume 04
Issue 01
Received 26/03/2026
Accepted 07/04/2026
Published 07/05/2026
Publication Time 42 Days
1

Login


My IP

PlumX Metrics