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Is data structures and algorithms are different for different languages?

Is data structures and algorithms are different for different languages?

Yes, the concepts for data structures and algorithms are same for all languages. The only thing that changes is the syntax.

Can an algorithm can be coded using different programming languages?

The same algorithm can not be implemented in different programming languages. An algorithm always produces a variable as output. When an algorithm is implemented on a computer, it always takes the same time to execute, regardless of its input. An algorithm always takes one parameter n as input.

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Is C++ necessary to learn data structures?

According to a recent search on google, it is found that C++ is the best language for the competition as well as to solve the data structure and algorithm problems. C++ can teach you memory management skills and time complexity instructions in an efficient manner.

What programming language is used for algorithm?

Algorithms are usually written in pseudocode – formalized (to some degree) form of natural language, independent of any programming language. Pseudocode is much closer to a programming language than natural language and is easier to transform into program written in some definite programming language.

What is the relationship between algorithm and programming language?

The algorithm is the process, the programming is the implementation, which is specific to your coding language, environment, and how the rest of your app works.

Should I learn data structures and algorithms first?

You should learn basic Data Structures first. Almost every algorithm is based on some sort of Data Structure. So first learn some basic Data Structures like arrays, link lists, stacks, queues, heaps,etc and then move on to Algorithms.

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Do you need to know data structures and algorithms?

Not all jobs require that you know data structures and algorithms but some will test you on it regardless. Besides, data structures and algorithms are truly powerful programming concepts. Which brings us to the third reason to learn them. This is really the main reason you need to know data structures and algorithms.

Is it possible to implement algorithms in any programming language?

Yes… and no. While the concepts behind algorithms and data structures, like space and time complexity or mutability, are language agnostic, some languages might not let you implement some of those patterns at all. A good example would be a recursive algorithm.

How easy is it to change programming languages for data structures?

Data structures and algorithms are concepts that are independent of language. Therefore once you master them in you favorite language it’s relatively easy to switch to another one.

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Do I have to learn algorithms and data structures to learn machine learning?

Its very good question, Yes you have to learn algorithms and data structures to learn machine learning. With all this you should also have to know basic mathematics , statistics . There are various machine learning algorithms which will be helpful for you while doing many projects.