Here is the Problem of the Day : https://www.techcrashcourse.com/p/problem-of-day.html

Spent last evening relaxing by Puget Sound, watching the sunset in Seattle. Such a calming way to end the day.

Here is the tutorial on "Recursive Algorithms" including following topics:
1. How Recursive Algorithms Work.
2. Steps of a Recursive Algorithm.
3. What is the base condition of Recursion.
4. Advantages and Disadvantages of Recursion
5. Recursive Algorithm Examples: Fibonacci Number and Find the Max Element of an Array.
https://www.techcrashcourse.com/2024/03/recursive-algorithms.html

Here is the Problem of the Day : https://www.techcrashcourse.com/p/problem-of-day.html

I have more than 10 years of industry experience and have taken more than 200 technical interviews at Amazon. Based on my experience as a technical interviewer, I decided to create a Youtube playlist on the topic of "Common Mistakes to Avoid in Coding Interviews". In each video, I will cover topics including "Common ways candidates make this mistake", "Why this mistake is a red flag for interviewers," and "Tips to avoid these mistakes during coding interviews". Here is the first video in this playlist on the topic of "Ignoring Problem Constraints in Coding Interviews".

Here is the tutorial on "Divide and Conquer Algorithms" including the following topics:
1. How Divide and Conquer Algorithm Works.
2. Time and Space Complexity of Divide and Conquer Algorithms.
3. Advantages and Disadvantages of Divide and Conquer.
4. Divide and Conquer Algorithm Examples: Find the Max Element of an Array.

https://tinyurl.com/TccAlgoDivideAndConquer

Here is the Problem of the Day : https://www.techcrashcourse.com/p/problem-of-day.html

Check this Intro video to learn more about myself and TechCrashCourse : https://www.youtube.com/watch?v=96BwTFvxQOY

Here is the tutorial on "Branch and Bound Algorithms" including the following topics:
1. How Branch and Bound Algorithms Work.
2. Advantages and Disadvantages of Branch and Bound.
3. Difference Between Backtracking and Branch and Bound Algorithms.
4. Soem examples of standard problems for Branch and Bound Algorithm

https://www.techcrashcourse.com/2024/03/branch-and-bound-algorithms.html

Hi Everyone,

This is just the beginning of our journey. Once I get significant subscribers in my Telegram and WhatsApp channels, I will start a 6-month technical interview preparation course covering the following topics:

1. Insider Tips and Tricks for Tech Interviews.
2. Problem of the Day.
3. Multiple-choice question tests.
4. Interview Experiences.
5. Programming Languages and DSA Tutorials.
6. Weekly coding interview tests.
7. How to write your CV.
8. How to secure international placements and migrate to global tech hubs.

There is nothing that I cannot teach you to succeed in any tech interview. Nowadays, lots of companies (like Scalar.com) are charging thousands of dollars for technical interview preparation courses, and not every student can afford them. I want TechCrashCourse to provide a level playing field for all engineering students and job seekers where anyone can get correct guidance and mentorship from industry expert for free.

I NEED YOUR HELP to reach more engineering students and job seekers. Please consider sharing the links of my Telegram and WhatsApp channels with your friends, classmates, and in your college groups. Together, we can help more aspiring engineers ace their technical interviews! Thank you for your support!

Telegram Channel (TechCrashCourse) : https://t.me/tcctelegram
WhatsApp Channel (TechCrashCourse) : https://whatsapp.com/channel/0029VaBFEuiATRSnDEedYb1l

Here is the problem of the day: https://www.techcrashcourse.com/p/problem-of-day.html

https://www.techcrashcourse.com/p/problem-of-day.html

Difficulty Level: Easy (to test the fundamental coding skills of the candidate).
Time limit: 15 minutes

When tackling this question in a technical interview, here are some important aspects of your solution to focus on:

1. Correctness: Ensure that your solution correctly removes all white spaces from the input string.

2. Efficiency: Evaluate the time and space complexity of the solution. A more efficient solution would have a time complexity of O(n) and would not use additional space proportional to the input size.

3. Handling edge cases: Check if the solution handles edge cases such as empty strings, strings with only white spaces, and strings with leading or trailing white spaces correctly.

4. Algorithm choice: Use an appropriate algorithm or approach to solve the problem efficiently, considering the constraints and requirements of the question given by the interviewer.

5. Code quality: Assess if the code is clean, easy to understand, and follows best practices.

6. Error handling: Verify if the solution handles potential errors gracefully, such as null inputs or invalid characters in the string.

By focusing on these aspects, you can demonstrate your problem-solving skills, coding proficiency, and ability to write efficient and reliable code.

As a follow-up question, lots of interviewers will ask you to write test cases for this question.

I strongly recommend everyone attempt PROBLEM OF THE DAY every time I post it. Try to solve the problem within the given time limit.

Interviewers use DP questions to assess candidates' problem-solving abilities, algorithmic thinking skills, understanding of fundamental DP principles, and coding proficiency. Candidates who can demonstrate these qualities are more likely to succeed in technical interviews. We can categorize DP problems from medium to high difficulty.

* DP problems often require breaking down complex problems into simpler subproblems and finding optimal solutions. Interviewers want to see how candidates approach and solve such problems, including their ability to identify and leverage patterns in the problem.

* DP problems test candidates' ability to think algorithmically and devise efficient solutions. Interviewers are interested in seeing candidates' understanding of algorithmic principles and their ability to apply them to solve real-world problems.

* DP problems can be a deal breaker, especially for FAANG companies.

PREPARATION TIPS:

1. Start with the basics: Understand the basic principles of DP, such as optimal substructure and overlapping subproblems.

2. Practice regularly: Solve a variety of DP problems to become familiar with different types of problems and their solutions.

3. Understand the problem: Before diving into the solution, make sure you fully understand the problem statement and constraints.

4. Practice coding: Implement your DP solutions in your preferred programming language. Pay attention to details and handle edge cases.

5. Analyze solutions: After solving a problem, analyze the time and space complexity of your solution. Look for ways to optimize it if possible.

6. Review and revise: Review DP concepts regularly and revisit problems you've solved to reinforce your understanding.