Coding Test [ ALL IN ONE ]

I think this is the best lecture among the data structure algorithm lectures. ㅎㅎ I chose Python as my first programming language, so I finished one of the popular Python introductory textbooks on the market, and then I was thinking about what to study more, and I tried to solve coding problems. As I encountered problems that used the concepts of data structures and algorithms, I bought related textbooks and looked them up. However, there were many principles that were difficult to understand just through text, and there were many concepts that I couldn't even understand. Arrays... lists... stacks... queues, etc., and even graph concepts. ㅎㅎ,, Then I chose this lecture among many lectures and watched it. I felt like all of my worries above were solved. The explanations of memory structures, data structures, and other concepts were all visualized, so I was able to understand them quickly, and it was really good that I could directly see the changes in variable values, the order of operations, etc. every time the code was executed, and actually implementing those concepts or applying them to coding problems. I think I will gain confidence in solving Python coding problems in the future. Thank you so much for making this lecture.

This is the best coding test lecture ever! I've taken many algorithm lectures since I was an undergraduate, but I don't think there's any other lecture that provides such high-quality visual materials + detailed concept explanations + systematic problem explanations. I started listening to it when I started preparing for a job change, and I'm so happy that I can listen to such a high-quality lecture at this price. ㅎㅎ What really impressed me was that you could visualize each code and see how the code works line by line! I could feel that you put a lot of effort into the lecture. ㅠㅠ Also, I liked that you explained various approaches to solving tree problems, and it was amazing that many problems could be solved with just a little modification from the template you asked me to memorize! I think it's important to explain the trade-off in terms of time complexity when doing a coding interview, and I liked that you covered in detail why this code has this time complexity, and what the minimum time complexity should be for solving this constraint, etc. Problem solving deals with problems that can apply the concepts learned for each concept, and if you know how the instructor approaches it, how to think about it, and what parts to keep in mind, and if you repeatedly solve and master those problems, you will be able to solve other problems without much difficulty! I didn't have confidence in algorithms, but thanks to the instructor, I'm having fun these days ㅎㅎ I applied for the killing camp this time, and I will definitely complete this lecture and camp to successfully transfer to the company I want!!>_<

Honestly, I can't give it less than 5 points after listening to the lecture. If there's one thing I wish for, I hope the advanced lectures are updated soon! Thank you for uploading such a great lecture :)

It's been 3 weeks since I started learning coding. I learned Python for 4 hours and am taking this course. It's amazing that I still understand it. The instructor's lecture structure is very systematic, and the explanations are easy and logical, so I'm very satisfied with the lecture. I can feel that he's put a lot of effort into improving the quality of the lecture. I'm looking forward to the advanced course!!! Thank you for making such a great lecture!

I bought many algorithm books and lectures. However, I got tired of them before I could even get through half of them. There were many ways to solve problems and answers, but there were no lectures that explained the process of getting there. They only said that this algorithm would be used in this case, and the rest of the course had to be filled in by the students themselves. As time went by, but the parts that needed to be learned were not filled in quickly, so I started to get bored quickly. However, after watching this lecture with its sophisticated illustrations and detailed explanations, I was sucked in and the attendance rate was already over 50%. Even though I only watched it during my short commute to and from work. Of course, I reviewed the content during lunch after watching the lecture so that I wouldn't forget it. I think the biggest reason I kept watching it was because it gave me a feeling of understanding the more I watched it. It pointed out parts that were easy to miss that other lectures didn't teach, and it led to a conclusion about why this method was right, so I felt like I was finally realizing parts that I didn't fully understand until now, which made me want to finish the course quickly. Actually, I don't like Python as a language. I've only used strongly typed languages like C++ and TypeScript, so I'm not familiar with the 'Pythonic' grammar, but after watching the lecture, Python seems much easier to understand and the code is more concise, so I'm going to prepare for the coding test with Python. I want to quickly finish it and move on to the problem-solving stage. Thank you for creating a great lecture!

It's the best, really!! I don't regret the tuition at all. I didn't understand how to calculate the time complexity while solving the coding problems, but now I know how to solve it by teaching me how to choose data structures and algorithms based on time complexity. Thank you. I'm looking forward to the remaining lectures!

First of all, I had a hard time finding where I put the problem. I think it would have been good if they had recorded or written down how to use the lecture at the beginning of the lecture.

I am a job seeker who majored in computer engineering and is currently in my third year as an MLops Engineer, and is trying to become a BE new recruit. I don't usually write reviews for lectures, but this lecture is exactly what I wanted. The concepts and problem solving are all integrated into the same tempo, and all the lectures are visualized, so it is very easy to follow the flow of the lecture without missing it. I majored in CS and worked in the industry, but I was the least confident when it came to coding, but after listening to Mr. Development Namno's lecture, I felt like all the related knowledge I had learned was organized. That's why I am leaving a review to say thank you. For reference, I listened to the lecture once at 1.25x speed without solving the problems. I will repeat it once more and finish it, and from then on, I will listen to the lecture while solving the problems one by one!