Role of Data-Structures-Algorithms For Software Engineer!

Let’s try to understand Data Structure & Algorithms with a real-world problem generally face in our day-to-day life.

This guy is searching for his car key from a long back but he did not found it. He got a nice scolding from his parents for not keeping things in the right place. Wait… I guess you are thinking I am also the same as him. Yes, that is true we will not get the things after searching for a long time if we are not keeping it at right place, then our parents will say fix a proper spot for key and daily keep it there, so that whenever you want you will get it. In the same way, choosing the right data structure for solving any real-world problem with a programming approach is very essential. We can not choose any data structure just like that else it will be a costly operation.

Here is another problem!

Suppose someone will say you to find a fever tablet from this truck filled with tablets, for sure we will consider this as a waste of time, then you will be keeping tablets in alphabetical order or something like that to find it easily. You can solve this kind of issue with help of Sorting Techniques that work on the principle of Data structure and Algorithms.

From there you can see how the organization of data is really important in our day-to-day life. It saves a lot of time, energy, and resources. So for solving any real-world problems using less time, space, resources, CPU, etc, you need to be very much specific towards data structure and algorithms. While designing any software mostly we will force on how much time and space it is taking to complete a task, here DSA will guide you to choose the best approach to make your software best of best. That is why most of the FAANG like companies have decided their standard that we are giving maximum weightage to DSA so that we can decide who can think out of the box.

For how much time I have to learn DSA??

If anyone wants to learn any particular new programming language they can learn it in a month or two. But while coming to Data-Structure-Algorithms it is not like that because DSA is not just a subject of computer science-based of this only one can say the percentage of your brands as a software engineer. This will increase your critical thinking ability in a critical situation.

Irrespective of the Technology you are working on, either you are doing any projects in Artificial Intelligence, Machine Learning, Data Science, IoT, AR, VR, etc. Furthermore whatever domain (HealthCare, Education, Media & Entertainment, Finance, Transportation, etc ) you are working in DSA will help you everywhere in getting well-optimized and effective results. Using a combination of DSA you will be able to design high-performance software.

So by summing up we can say that for solving any real-world problem with a programming approach we need to follow some steps. The collection of that steps is Algorithm, whereas a data structure is a way to store and organize data during solving that problem or constructing any software so that it can be used efficiently in terms of time and space, this way Data structure & Algorithms always allow us to write efficient and optimized computer programs.

Bonus 1: Essential Data Structures and Algorithms for Coding

• Hash Tables
• Arrays
• Recursion
• Sorting
• Bit Manipulation
• Dynamic Programming
• Stack & Queues
• Manage Pointers
• Trees
• Graphs
• Binary Search
• LinkedList Techniques.

Bonus 2: Object-Oriented Programming OR Functional Programming.

Object-oriented programming aims to implement real-world entities like inheritance, hiding, polymorphism, etc in programming. The main aim of OOP is to bind together the data and the functions that operate on them so that no other part of the code can access this data except that function.

Bonus 3: System Design.

The purpose of system analysis in the Software Development Life Cycle is to describe all the criteria that must be satisfied to deliver an acceptable software product to an organization or individual. It should also describe all the quality metrics that will be used to judge how suitable or valuable that product is.

The purpose of system design is to design a piece of software that best fits the criteria collected by system analysis. This includes the selection of host technology, programming languages, object libraries, and the organization of the software into components.

It is important to note that system analysis and design may be intermingled and may be done concurrently with other activities like programming and testing.

If anyone wants to Learn DSA and from scratch, you can visit my Github Repository