Seriously.. I opened my eyes and it was the day before the coding test. Anyway, I studied with this lecture and took the coding test, and I passed all 5 coding tests I've taken so far! I asked to add code in JavaScript in the middle, and I'm grateful that you accepted it quickly, and thank you for providing a quality lecture at a low price.
This was a lecture that I hastily signed up for because I had a similar situation to the lecture title, but I received a lot of help in a short period of time. It was great that it explained example problems and covered the algorithm concepts and data structures that I absolutely needed to know, and it was also great that I could see the summary in Notion or PDF! It would be even better if the example problem codes could be provided as additional files:) Thank you for making a great lecture!
I haven't heard everything yet, but there aren't many JavaScript code preparation materials, so thank you for uploading them. Also, it's good that you uploaded them in Python, which is a hot language in codes these days. Practicing algorithms in JavaScript itself is good because it increases your understanding of JavaScript. I'm preparing hard with this lecture. -0-
This is a high-quality lecture that covers all the key points about Python, JavaScript, and algorithms without being too long. As the title suggests, it is very well-organized and condensed to the point that you can watch it the day before a coding test. Another great advantage is that you can find and listen to only the parts you need. I think this will be the best lecture for those who are at a loss as to what an algorithm is and where to start learning it. Thank you for the great lecture!
Good points:
The lecture was really great. Especially when you were lecturing on the rendering part, you commented on the problem -> idea -> solution, so when I watched it 2 or 3 times, it was easier to understand even if the content was difficult.
I wish there was something:
I don't know for sure because it's not a complete lecture, but it would be good if you pushed the complete code and each video to the GitHub repo, so that I could find errors faster. For me, the content is difficult, so even if I stop and type the code, I can't help but make mistakes and get errors while trying to understand the lecture content. Sometimes, when the error doesn't appear and it appears strangely, I feel like giving up. Except for that part, it's a really great lecture. I think most of the parts I really wanted to know were covered!