These are good tips, I personally used these myself in college. I was nowhere close to the top 1%, but talking to myself and taking breaks to refocus helped me so much. Even in my job
One concept as in data structure. Like after learning about graph problems you can try doing Stack problems, etc. If you learn like this then eventually you’ll slowly develop an intuition for coding patterns in these problems.
25 problems isn't enough to start re-encountering patterns, so you're going to continue seeing problems with patterns you haven't been exposed to yet. So don't worry about them feeling hard. Work on learning patterns and solving problems that fall under a specific pattern to gain confidence in that pattern and its variations. The more problems you solve, the more likely you are to see a pattern that you've worked with before. You'll also be able to tell when problems are combinations of multiple patterns. Foundational patterns like DFS/BFS/binary search/sliding window/hash maps/etc will start to become like muscle memory which allows you to focus more mental energy on the unique parts of the problems. Try to follow a roadmap like Neetcode 150 or Blind 75. It will be hard the first time bc you'll be learning patterns that you aren't familiar with. Spend the time to truly understand the different approaches and don't spend too long on any one question without looking at the answers. The next time you encounter similar problems, things will flow much easier. Every time you don't understand something is an opportunity to learn :)
For the next 100 years, programmers will be cleaning up the mess created by AI. For every complex problem in mathematics, there is a simple easy answer which is often wrong. One big problem in programming is that often the specification is naive, incomplete and ill-posed. People often have an "idea" of what they want, but until they work out the details, it is not a solved problem. Sometimes, the solution is a happy compromise on what can be achieved in the budget in the allocated time.
@@hegerwalter if total 5 programmers working for a company then AI will reduce it 2 or 3 or may be to 0. What I understood that we can write very inefficient code and get away with that as we have such advancement in computing hardware. AI writes bad code but due to hardware efficiency it doesnt matter much how bad the code is. Even if we employ an expert who can prompt and copy paste code from GPTs that would be enough imo. I also think the buisness requirement will be directly given to AI instead giving it to BAs in the fututre. The companies will have their own speicilalized language models
![Seungmin "그렇게, 천천히, 우리(As we are)" | [Stray Kids : SKZ-PLAYER]](http://i.ytimg.com/vi/kAzmhLHePqU/mqdefault.jpg)
00:01:34 Practice how you will interview.
00:04:13 Focus on high ROI topics
00:05:25 Find Coding Patterns
These are good tips, I personally used these myself in college. I was nowhere close to the top 1%, but talking to myself and taking breaks to refocus helped me so much. Even in my job
clean and straightforward. Subscribed for more like this one.
All these ppl who are saying "if I can land a tech job.." are the reason for the layoffs in tech.
There are no comments like that. What are you referring to?
@@callous21 the guy who posted the video said this himself lol
It's called interest rates. When they are raised it forces companies to lay off aggressively. Not just IT market
You're right. Were so stuck in our bubble to realize other fields are struggling too@kempsole
Not sure I follow your logic…
For 8:05 , I was wondering if you can clarify, "once you learn one concept" one concept as in data structure, or one of the coding patterns?
One concept as in data structure. Like after learning about graph problems you can try doing Stack problems, etc. If you learn like this then eventually you’ll slowly develop an intuition for coding patterns in these problems.
Hey Matt, thanks for the vid
Is it normal to take 1h to solve easy problems?I solved a obout 25 easy problems and I it is still hard to me
yes, it takes time and it's different from one person to another. Just keep practicing and you will get better by time
Man U take an 1h i can’t even solve it after hours and hours
25 problems isn't enough to start re-encountering patterns, so you're going to continue seeing problems with patterns you haven't been exposed to yet. So don't worry about them feeling hard. Work on learning patterns and solving problems that fall under a specific pattern to gain confidence in that pattern and its variations. The more problems you solve, the more likely you are to see a pattern that you've worked with before. You'll also be able to tell when problems are combinations of multiple patterns. Foundational patterns like DFS/BFS/binary search/sliding window/hash maps/etc will start to become like muscle memory which allows you to focus more mental energy on the unique parts of the problems. Try to follow a roadmap like Neetcode 150 or Blind 75. It will be hard the first time bc you'll be learning patterns that you aren't familiar with. Spend the time to truly understand the different approaches and don't spend too long on any one question without looking at the answers. The next time you encounter similar problems, things will flow much easier. Every time you don't understand something is an opportunity to learn :)
Thanks for sharing!❤
Did you use any of that knowledge in the actual work?
cool video but why is the volume so low ?
you got a subscriber !
Thanks Noel
Am trying to login , but not coming
What’s the issue with the login?
@@mattguesttech am not able to login , pls try me once
Are you using Google login by chance?
@@mattguesttech yes am using Google login
@@mattguesttech the sign up button is also not working .
AI can replace all the programmer who are preparing for coding interviews
Not quite yet but it’s getting there.
@@bgill7475gpt4 with correct prompting and feedback can answer most leetcodes
For the next 100 years, programmers will be cleaning up the mess created by AI.
For every complex problem in mathematics, there is a simple easy answer which is often wrong.
One big problem in programming is that often the specification is naive, incomplete and ill-posed. People often have an "idea" of what they want, but until they work out the details, it is not a solved problem. Sometimes, the solution is a happy compromise on what can be achieved in the budget in the allocated time.
@@hegerwalter if total 5 programmers working for a company then AI will reduce it 2 or 3 or may be to 0. What I understood that we can write very inefficient code and get away with that as we have such advancement in computing hardware. AI writes bad code but due to hardware efficiency it doesnt matter much how bad the code is. Even if we employ an expert who can prompt and copy paste code from GPTs that would be enough imo. I also think the buisness requirement will be directly given to AI instead giving it to BAs in the fututre. The companies will have their own speicilalized language models