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Which is the best book for learning data structures and algorithms?

Posted on September 7, 2020 by Author

Table of Contents

  • 1 Which is the best book for learning data structures and algorithms?
  • 2 Which book is best for data structures and algorithms Quora?
  • 3 Which language is best for data structures and algorithms?
  • 4 Is Introduction to Algorithms for beginners?
  • 5 Can I learn data structures and algorithms before programming?
  • 6 Should I learn data structures and algorithms before OOP?
  • 7 Is clrs worth reading?

Which is the best book for learning data structures and algorithms?

“Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles” by Narasimha Karumanchi.

Which book is best for data structures and algorithms Quora?

The best book for Data Structures are:

  • Data Structures and Algorithms Made Easy by Narasimha Karumanchi.
  • Data Structures and Algorithms in Java, 2nd Edition by Robert Lafore.
  • The Algorithm Design Manual, 2nd Edition by Steven S Skiena.
  • Introduction to Algorithms, 3rd Edition by Thomas H.

What should I learn first data structure or programming language?

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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Which language is best for data structures and algorithms?

Which programming language is best for data structures and algorithms? Data structures and algorithms are not language specific and hence you can use any language be it JavaScript, C, C++, Java or Python. You should feel comfortable with the syntax of the language and you are good to go.

Is Introduction to Algorithms for beginners?

Narasimha Karumanch has explained the book in very effective manner and it takes from a basic beginner programming practices and puzzles of algorithm to the advance level. Now about Introduction to algorithm, it is also a very good book. The explanation is perfect and its advance concept is too good.

How do you study data structures and algorithms?

Here is a step-by-step plan to improve your data structure and algorithm skills:

  1. Step 1: Understand Depth vs.
  2. Step 2: Start the Depth-First Approach—make a list of core questions.
  3. Step 3: Master each data structure.
  4. Step 4: Spaced Repetition.
  5. Step 5: Isolate techniques that are reused.
  6. Step 6: Now, it’s time for Breadth.
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Can I learn data structures and algorithms before programming?

I think it’s fine to learn the two side-by-side. If you try to just learn the data structures and algorithms first without doing any programming, it will all be a bit abstract – I think you’re likely to learn more effectively if you can use what you’re learning in a practical context.

Should I learn data structures and algorithms before OOP?

There are so many data structures and algorithms. Before learning Object-Oriented Programming, you should have an understanding of what are some of the basic data structures and algorithms. You can also learn data structures and algorithms at the same time you learn basic programming concepts.

Which language is best for placement?

And, C++ is the most recommended programming language for competitive programming primarily because of the availability of a rich library known as Standard Template Library that allows you to deal with various data structures such as lists, graphs, stacks, arrays, trees, and others effectively.

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Is clrs worth reading?

I suggest read CLRS only after you’ve read some other text that is easier to read. If you’re java dev, I highly recommend reading Sedgewick and watch Video course only after you’ve read the text. I watched the videos first but don’t remember anything now.

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