Can I master DSA in 3 months?

Usually, it takes 2-3 months to learn the basics and then a rigorous, six months regular practice of questions to master data structures and algorithms.
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How long does it take to master DSA?

DSA requires a significant investment of time and effort. It can take you anywhere from 4-8 months to truly master it. The important thing is to put in the time and effort.
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How can I prepare for DSA in 3 months?

TIPS:
  1. Solve the questions the correct way. ...
  2. Having a breadth first knowledge of all the topics is recommended rather than having a depth first one. ...
  3. Never ever mug up a particular approach. ...
  4. Whenever you learn a new algorithm, always try to implement it by yourself before looking how it is implemented in a language.
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Is 4 Months enough for DSA?

3 months is enough time to learn quite a lot. Prepare topic-wise and go in the above mentioned order - (Learn the topic from book, go through famous questions pertaining that topic and then practice on the online judge.)
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Can I learn DSA in a month?

Striver's sheet contains 180 questions, which can be completed in 2–3 months at a normal pace, but if you know the basics of DSA then one can complete the sheet in 1 month only.
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How I Prepared For Placements in 3 MONTHS ? *FREE RESOURCES*



How hard is DSA?

Data Structures and Algorithms are generally considered two of the hardest topics to learn in Computer Science. They are a must-have for any programmer. I don't mean to scare you, but it's going to take a lot of time and effort to master these topics.
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Which is best language for DSA?

Most competitive programmers use C++ because of its efficiency for DSA. That being said, the language is just a medium and any language that you are affluent with is appropriate for you to implement DSA.
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Is DSA 450 enough?

Edit : 450 DSA is a pretty good list of problems for linked list,binary search tree,etc. But its not enugh for string, array and dp questions :-) In array, you need to cover a vast range of tricks and concepts compared to other coding topics for interviews.
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Why is DSA so hard?

Originally Answered: What is so hard about data structures ? The #1 problem is that many of the people trying to learn data structures are not good at simple programming. People start worrying about data structures and algorithms too early in their development as programmers.
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How do I master DSA?

7 steps 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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How can I crack Google interview in 3 months?

  1. 1) Learn as much as you can about the Google interview process (days 1–2) ...
  2. 2) Benchmark yourself (days 3–5) ...
  3. 3) Make a study list (days 3–5) ...
  4. 4) Practice algorithms and data structures daily (days 6–30) ...
  5. 5) Tackle as many programming questions as you can (days 16–30) ...
  6. 6) Relax and get some good sleep (day 30)
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How do I start preparing for DSA?

Start Revision (Last 1 month)
  1. Try to solve some problems from each of the DSA topics.
  2. Go through the notes that you've created for all the CS subjects.
  3. Go through details about your projects in-depth.
  4. Mock interviews.
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How do I do well in DSA interview?

Common DSA Interview Questions And How Your Child Should Tackle Them
  1. Organise Your Answers. ...
  2. Share Personal Experiences. ...
  3. Give Honest Responses. ...
  4. Provide Clear Explanations. ...
  5. Be Confident.
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How long does it take to study data structures and algorithms?

Usually, it takes 2-3 months to learn the basics and then a rigorous, six months regular practice of questions to master data structures and algorithms.
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How do you memorize algorithms?

  1. Take an algorithm. Understand how and why it works.
  2. Code the algorithm by yourself, don't rewrite other's code.
  3. Make it work. Find the easiest possible problem, involving the algorithm.
  4. Look at some good implementation.
  5. Make your implementation better and shorter.
  6. Solve a bunch of problems involving the algorithm.
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How do you develop an algorithmic thinker?

Approach your daily tasks as they are algorithms.

Practice your algorithmic thinking by solving your daily tasks as if they're algorithms. Plan out logical steps and use the if-then approach to accomplish them. Over time, you'll get used to solving problems this way. A recipe, for example, is essentially an algorithm.
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How much important is DSA?

Data structures and algorithms (DSA) goes through solutions to standard problems in detail and gives you an insight into how efficient it is to use each one of them. It also teaches you the science of evaluating the efficiency of an algorithm. This enables you to choose the best of various choices.
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Which data structure is the hardest?

Personally, the hardest data structure I ever coded was a red-black tree.
...
  • Take some input.
  • Process it.
  • Give back the output.
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How much time will it take to learn Python?

In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.
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Why is DSA important in a company?

Why DSA is important? DSA plays a very important role in reducing the time complexity of the code. A problem might have several approaches, but you must pick the optimized one in order to stand out of the crowd. You must be able to write a code which takes less time to execute for any problem statement given.
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Where is DSA used?

DSA in Software Development. Data structure and Algorithm (DSA) is applied in all disciplines of software development. DSA is the building block of the software development process. It is not limited to a single programming language.
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Which DSA language is easiest?

Python is a great language to learn algorithms and data structures because it has a very clean, simplistic syntax that looks very similar to pseudocode. The simplicity of the language helps you to focus on writing the algorithm and less on the syntax necessary to do so.
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Is Python good for DSA?

High-level languages like Python and Ruby are often suggested because they are high level and the syntax is quite readable. However, these languages all have abstractions for the common data structures.
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Is C good for DSA?

Python or Java.

You can get the best lectures from coursera by robert sedgewick princeton University. You can do data structures and algorithms in any language. The logic remains the same . But if you would liked to go for competitive programming C/C++ will do very well.
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