Importance of learning Data Structures in Python

 Data structures are information-containing units used in programs to store data that the program needs to run and do tasks. There are many types of Data structures. Some of the commonly used Data structures are queues, linked lists and arrays. 


It is an important programming skill set. Still, many people skip learning Data structures in a hurry to get a job. But survival without DSA in Python is only possible in entry-level programming jobs. 


To keep yourself moving, DSA in Python is a must-have skill. In this blog, you'll learn about the importance of Data structures in programming and your career. 


Why are Data structures in Python important?


In the field of software development, DSA holds a remarkable place. A software development process contains many individual stages of development. As a Python software developer, you have to work on multiple code blocks. 


Later, you put it together to turn it into software. It is indeed an overly simplified definition of software development, but it's enough to understand the role of data structures in programming. 


A program keeps accessing data from different locations. So, if you have used suitable Data structures in the program, the accessing and management of data will be smoother, resulting in a high-performing software. 


How will learning Data structures help you in your career?


Now that you know the role of Data structures in software development, let's see how it can help you to become better at your job. Here are three benefits of learning Data structures or DSA in Python. 


  • It helps you find a better approach


You can reach an address in your city with multiple routes, but there always exists the best route among them, which takes fewer kilometres of drive and less time. Similarly, you can solve a programming problem in various ways. But among all the solutions, there should exist one solution that will perform best.


Moreover, you may find some ways which individually will give you similar results. But once you implement them with the other parts of the project, you'll find that there's a massive difference in the performance. 


So, Data structures help you to calculate all this in the very beginning. It lets you calculate the time and space complexity of the algorithm. It allows you to decide which algorithm to keep based on their performance when there's limited memory and time. 


  • It lets you understand software development


A harsh truth about software development is that many software developers are not even aware of what they are doing. Their ultimate goal is to complete their work regardless of the efficiency and effectiveness. But if you have an understanding of Data structures, you will be able to look at the best instead of looking for just a solution. This approach helps programmers to understand what software development is. It will shift your perspective from results to best results and from software development to best software development. 

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