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I want to get good at data structures and algorithms for placement purposes. How should I proceed?

isuro answered on January 22, 2023 Popularity 1/10 Helpfulness 1/10

answer I want to get good at data structures and algorithms for placement purposes. How should I proceed?

I want to get good at data structures and algorithms for placement purposes. How should I proceed?

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Here are some steps you can take to become proficient in data structures 
and algorithms for placement purposes:

Learn the basics: Start by understanding the fundamentals of data 
structures and algorithms, including common data structures such as arrays, 
linked lists, stacks, queues, trees, and graphs, and common algorithms 
such as sorting, searching, and traversal.

Practice coding: Once you have a solid understanding of the basics, 
practice implementing various data structures and algorithms in a 
programming language of your choice. Solve coding problems and exercises
that focus on data structures and algorithms. Websites like LeetCode, 
HackerRank, CodeFights, and GeeksForGeeks have a large collection of
problems and exercises that you can use to practice.

Understand the time and space complexity: As you implement different data 
structures and algorithms, analyze their time and space complexity. 
Understand the trade-offs between different data structures and algorithms, 
and know when to use one over the other.

Learn advanced topics: Once you have a good understanding of the basics
and have practiced coding, learn advanced topics such as dynamic programming,
greedy algorithms, and graph algorithms. These are often found in 
interview questions or in more complex problems.

Keep practicing: As you learn and practice, keep an open mind and be willing 
to learn new concepts. Don't get discouraged if you don't understand something
at first, take your time to learn it, and keep practicing. Practice is 
the key to become proficient in data structures and algorithms.

Take mock tests: Many websites provide mock tests for placement purposes, 
take them and check your performance. This will help you to identify your 
strengths and weaknesses.

Participate in competitions: Participating in coding competitions such 
as Google Code Jam, Facebook Hacker Cup, and Topcoder can be a great way 
to improve your skills and get experience solving real-world problems.
Keep in mind that practice, persistence and patience are the key to 
success in learning data structures and algorithms. It takes time 
and effort to master them, but with dedication and hard work, 
you can become proficient in data structures and algorithms 
and ace your placement tests.

Here are some resources that you can use to learn data structures and algorithms:

Coursera: There are several online courses on Coursera that cover data 
structures and algorithms, such as "Algorithms, Part I" and "Algorithms, 
Part II" by Princeton University, "Data Structures and Algorithms" by 
University of California San Diego, "Algorithms and Data Structures" 
by the University of Illinois at Urbana-Champaign

LeetCode: LeetCode is a platform that offers a large collection of coding
problems and exercises that focus on data structures and algorithms.
It has a wide range of problems that are targeted to beginners as well 
as experienced developers.

HackerRank: HackerRank is a platform that offers a large collection of 
coding problems and exercises that focus on data structures and algorithms. 
It has a wide range of problems that are targeted to beginners as well as 
experienced developers.

GeeksForGeeks: GeeksForGeeks is a website that offers tutorials, articles,
and coding problems on various computer science topics, including data 
structures and algorithms.

Introduction to Algorithms by Cormen, Leiserson, Rivest, and Stein: This is
a classic textbook that covers the fundamentals of data structures and 
algorithms. It is widely used in computer science education and considered
as a must-read for anyone who wants to master data structures and algorithms

The Algorithm Design Manual by Steven Skiena: This is a comprehensive guide
to designing and analyzing algorithms that covers both classic techniques 
and modern heuristics.

CLRS Algorithms Unlocked by Thomas H. Cormen: This book provides an 
introduction to the subject of algorithms and data structures targeted
at computer science students, software developers, and anyone interested 
in the subject.

These are just a few examples of resources that are available to help
you learn data structures and algorithms. Remember that practice and 
persistence are key, so make sure to take advantage of the resources 
and practice problems available to you.

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Contributed on Jan 22 2023

isuro

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I want to get good at data structures and algorithms for placement purposes. How should I proceed?

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