Why Learn Data Structures and Algorithms ?

In this Article we are giving complete info about why to learn DSA. So This Article is for those who have started to learn data structure and Algorithm and How impactful it will be to boost their career/programming skills.



Why Big Companies like Google, Facebook and Amazon hire programmers who are exceptionally good at optimizing Algorithms.

What are Algorithms :
Here, Algorithm is nothing but a mention of step to solve a problems

Problem : Find the factorial of n.
 Initialize fact = 1  
 For every value v in range 1 to n:  
   Multiply the fact by v  
 fact contains the factorial of n  

The above algorithm is written in English. if it was written in a programming language, we call it to code instead.

 int factorial(int n) {  
   int fact = 1;  
   for (int v = 1; v <= n; v++) {  
     fact = fact * v;  
   }  
   return fact;  
 }  

Programming is all regarding information structures and algorithms. information structures are wont to hold information whereas algorithms are wont to solve the matter mistreatment that information.

Data structures Associate in  algorithms (DSA) goes through solutions to plain issues thoroughly and offers you an insight into however economical it's to use every one of them. It conjointly teaches you the science of evaluating the potency of Associate in algorithmic rule. this allows you to settle on the most effective of assorted selections.


Final Words :

Generally, package development involves learning new technologies on a routine. You get to be told most of those technologies whereas mistreatment them in one in every of your comes. However, it's not the case with algorithms.

If you do not grasp algorithms well, you will not be ready to determine if you'll be able to optimize the code you're writing at once. you're expected to understand them beforehand and apply them where potential and important.

We specifically talked regarding the quantifiability of algorithms. A computer code consists of the many such algorithms. Optimizing anyone of them ends up in a more robust system.

However, it is important to notice that this is often not the sole thanks to create a system climbable. for instance, a method called distributed computing permits freelance components of a program to run to multiple machines along creating it even additional climbable.

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