Khi tôi thức dậy thì đã là một ngày trước kỳ thi viết mã.
Để chuẩn bị cho bài kiểm tra viết mã sắp tới, bạn có thể xem lại các khái niệm cơ bản cần biết và giải các bài toán thuật toán thông qua Python và Javascript.
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!