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.

I'll be sharing detailed tutorials on Dynamic Programming interview questions, along with tips to solve them during interviews. Stay tuned!

Today's weather was amazing! The sky was so clear that I could see Seattle's iconic Mount Rainier from the rooftop. What a breathtaking sight!

Hey everyone! If you're enjoying the content on my Telegram channel, don't forget to subscribe to my other social media handles too!

WhatsApp Channel: https://whatsapp.com/channel/0029VaBFEuiATRSnDEedYb1l

YouTube: https://www.youtube.com/@techcrashcourse

Facebook: https://www.facebook.com/techcrashcourse

Instagram: https://www.instagram.com/techcrashcourse

Twitter (X): https://twitter.com/tcrashcourse

Stay connected with me for more tech tips, tricks, and updates! #StayConnected

PROBLEM OF THE DAY : https://www.techcrashcourse.com/p/problem-of-day.html

Difficulty Level: Easy (generally, the first question of the coding interview)
Time limit: 15 minutes
Expected time and space complexity: O(n)

This is one of the most common coding interview questions for FAANG companies, yet lots of candidates make mistakes in their code and forget to handle the following edge cases:.

* Empty Arrays
* Arrays with one element
* Arrays with all elements equal
* Arrays of different lengths
* Arrays with negative numbers

Make sure to test their solution with different test cases to ensure its correctness and efficiency. This demonstrates their understanding of the problem and their ability to produce reliable code.

I strongly recommend everyone attempt PROBLEM OF THE DAY every time I post it. Try to solve the problem within the given time limit. These are the same questions you can expect in any tech interview.

Now, Microsoft is the largest company in the world, with a market cap of $3.13 trillion USD 🤯. For comparison, India's nominal GDP for 2023 was $3.7 trillion USD. Here is the revenue breakdown for Microsoft.

Once my telegram channel reaches at least 10,000 subscribers, I will start 1-hour mock coding interview tests! These tests will feature questions similar to what you can expect in any tech interview.

Help me reach this milestone by inviting your friends and classmates to join this channel. Let's ace those interviews together!

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

https://tinyurl.com/TccGreedyAlgorithms

Here is the Tutorial on INTRODUCTION TO GREEDY ALGORITHMS

When it comes to Greedy algorithms in technical interviews, it's about demonstrating your problem-solving abilities, your algorithmic thinking, and your coding skills. So, make sure you're comfortable with these concepts and practice implementing Greedy algorithms in different scenarios.

Interviewer want to see your algorithmic thinking, optimization skills and gauge your ability to analyze the complexity of your solutions

PREPARATION TIPS:

1. Understand the Basics: Make sure you have a solid understanding of what Greedy algorithms are and how they work. Familiarize yourself with common Greedy algorithms like Prim's algorithm, Kruskal's algorithm, Knapsack Problem, Coin Change Problem etc.

2. Identify Greedy Problems: Practice identifying problems where Greedy algorithms can be applied. Look for problems where making the locally optimal choice at each step leads to a globally optimal solution.

3. Learn Problem-solving Techniques: Understand the common techniques used in Greedy algorithms, such as sorting, priority queues, and greedy choice property. Practice applying these techniques to different problems.

4. Analyze Complexity: Learn how to analyze the time and space complexity of Greedy algorithms. Understand when Greedy algorithms are efficient and when they may not be the best approach.

5. Stay Calm and Think Clearly: During the interview, stay calm and think clearly. Listen carefully to the problem statement, ask clarifying questions if needed, and then start working on a solution.

6. Discuss Your Thought Process: As you work through the problem, explain your thought process to the interviewer. This helps them understand how you approach problems and can lead to a more collaborative interview experience.

7. Practice, Practice, Practice: The key to mastering Greedy algorithms is practice. Solve as many Greedy algorithm problems as you can find, and try to come up with optimal solutions on your own before looking at the solutions.

I'll be sharing detailed tutorials on Greedy Algorithms interview questions, along with tips to solve them during interviews. Stay tuned!

Amazon is cutting hundreds of jobs in AWS unit. ☹️
https://www.cnbc.com/2024/04/03/amazon-layoffs-hundreds-of-jobs-cut-in-cloud-computing-unit.html

Here is the Step-by-Step Algorithm of Bubble Sort

1. Start with the first element of the array and compare it with the next element.

2. If the next element is smaller, swap them.

3. Move to the next element and repeat the comparison and swapping process until the end of the array.

4. Once the first pass is complete, start the second pass from the first element again and repeat the same comparison and swapping process.

5. Continue this process until all elements are sorted.

Check out this full tutorial on BUBBLE SORT ALGORITHM :
https://www.techcrashcourse.com/2024/04/bubble-sort-algorithm.html

Data Structures and Algorithms might sound daunting, but trust me, it's a breeze when explained in simple terms! Anyone can become a DSA expert with the right guidance and practice.

Let me know, if you liked this graphical explanation of the Bubble sort algorithm, by liking this post.