[Renewal] Python Introduction and Web Crawling Basics Bootcamp [Python, Web, and Data Understanding Fundamentals] (Updated)

Author's Background: As a data analyst who had only performed analysis using SQL, I joined a company that utilizes Python. Since I had no actual experience with Python coding, I vaguely felt the need to study it. In this current era where AI like ChatGPT and Claude can be utilized, I tried taking traditional Python courses that cover grammar deeply one by one. However, they were time-consuming, and many parts that were not obvious to a student were often skipped or passed over quickly because they were too obvious to the instructors. Strengths of this Course: Ultimately, while utilizing AI means you don't have to write every single line of code, I believe background knowledge is crucial for understanding the code and editing the necessary parts to derive results. In this regard, the difficulty of writing Python code directly was not overwhelmingly high. What impressed me most was that the examples were based on step-by-step logical thinking, which is fundamental to the preprocessing stages important in SQL and data analysis. Overall Review: Even if solving problems yourself feels burdensome, as long as you can understand the code after watching the lecture, you can review it by typing along. Also, as the instructor mentioned, understanding even 50% can be sufficient for review or practical application in the field. While it might be different for developers, if you are studying Python for data analysis, I expect that taking AI and Pandas courses based on these fundamentals will make things much easier. I was in a very frustrating situation, so thank you for creating such a great course. I am now off to take the instructor's Pandas course.

I'm a UX/UI designer who took this course because I wanted to learn data analysis. I looked through various courses and the reviews were so good that I decided to try it, and the course really lives up to the reviews!!! Also, I think I enjoyed it more because concepts I'd picked up from developers around me came up in the lectures. When you were explaining HTML front-end and said "I'm sure the designers know this part better~", I felt a little called out though 😂😊😊 This course sparked my interest in development, so I'm planning to binge-watch all the data analyst roadmap courses!! Hope to see you often in future lectures!

Hello. Thanks to the instructor, I'm finding coding interesting and fun! Solving the problems provided for self-directed learning beforehand and then listening to the lectures makes it feel like the content sticks in my head better. It feels like everything is explained meticulously from A to Z, so I always listen with gratitude! Lately, although it's nothing grand, small ideas of things I want to build are starting to come to mind, so I want to quickly finish the course. Thank you!

I have completed the first round and am now listening to the second round. The instructor mentioned in the middle of the lectures, 'You might not understand it well now, but when you listen from the beginning again later, there will be a moment when you realize you found something so easy difficult.' Now that I'm listening to the second round, the code really clicks and makes more sense. :-D I am watching and practicing Python, Crawling, and SQL from the 잔재재미코딩 lectures almost simultaneously, every day. I've also taken a few other courses, but there's no one who explains the basics and principles as well as 잔재미코딩. Even if I didn't understand well at first, the more I learned, the more I realized why they explained things the way they did 😊😊 I want to watch and practice the 2nd, 3rd rounds~ until I understand, and at the end of it, write code myself, create programs, and add data analysis skills to my work to do more interesting and meaningful things. The lecture materials are substantial, making it good for review after the lecture, and they make me want to keep doing it consistently. Thank you!

I am very grateful that I can take this level of class at this cost. The fact that you explain it in very easy terms instead of using academic language, and that you continuously motivate and praise beginners who are prone to giving up, were especially helpful. As a liberal arts student, I wanted to understand IT in general before starting to code, so I read a book called 'IT Core Technology Anyone Can Read Quickly and Understand', and since it was a lecture by that author, it was a lecture that I was personally more immersed in.

Today, I'm finally getting around to writing a review. I'm in my mid-30s and I have absolutely no knowledge of computer programming. I'm currently working at an online shopping mall, and while working, I thought that there's so much information online that it would be nice to collect it and derive the data needed for sales. And on top of that, automation? I started studying crawling and Python with the idea of doing this kind of work in practice to reduce my workload. These days, it seems like a lot of people are using data for stocks and real estate, and financial investment is a bonus. ㅋㅋ I started with a mixed mind. I really didn't know anything when I started, but I heard that I need Python to do this, so I took various lectures, and wow, I got stuck even installing the program. ㅋㅋ I'm really a total beginner... I installed it, but I got an error. Would it have been better if I had started in my 20s? I wanted to ㅠㅠ I felt so ignorant because I struggled with the installation ㅋㅋ Anyway, I was really worried After much twists and turns, I finally installed it by Googling... I finally started, but I couldn't do it the same way even though I listened to the lecture and followed it. I don't know why this is. I Googled the method and read it, but I wondered what it meant. So I thought, "Okay, let's really start from the basics. Since I'm already doing it, I should take the introductory lecture?" and signed up. The lectures I've taken before were the type that gave me the information I needed right away, so I couldn't do it. ㅠㅠ A baby can't just jump right away ㅋㅋ I was too greedy While learning crawling, I also learned for the first time that the website code changes so often. And that's the structure? Anyway, it was really good because it covered the basics of general knowledge. I learned very simple HTML while working, so this class taught me the basics of HTML, which helped me understand it a lot and helped me a lot with my work. I think this was an unexpected side effect. The lecture itself is really friendly, and it starts from the very basics, and I think it is a lecture that helps you learn on your own. I had a lot of questions about why the code is applied this way. The teacher's lecture has such a good solution, so I paused the lecture for a while and tried to understand it myself, and watched the lecture again to learn it. Solving the problems also helped me understand a lot. While listening to this lecture, I learned general knowledge about crawling and the web, and I think I got a sense of what you find and do when crawling, so I signed up for the next lecture to learn more in-depth content. I hope that one day, when I see a website, I can quickly understand its structure and crawl it quickly. I was raising a child, so I didn't have time, so I woke up at dawn and listened to the lecture, but the lecture was informative, so I think my efforts were not in vain. Please continue to give me good lectures in the future!

It doesn't just teach grammar, but it applies the content step by step, making it easy to understand and practical. It's good that there's encouragement in the middle of the lecture. There's a lot of content and a lot of examples, so I don't regret the money. It's a great lecture, and I'm looking forward to other videos.

I am leaving a review after completing the course. The reason I, a typical liberal arts student, started learning Python and crawling was, in fact, when I happened to see the previous lecture by the instructor of Life Coding. It was relatively satisfactory, but I felt that it was a lecture that I wished the explanations were more detailed from a beginner's perspective. (However, it was free and interesting.) Furthermore, I wanted to do it properly, so I took a data science course at a boot camp. However, I felt a lot of disappointment with the explanations of the data scientist who was the instructor at the time, and the boot camp learning method (only teaching very basic content, giving assignments, and using search to solve them within the deadline) did not suit me. (The submission deadline felt too short for a beginner, the method of just studying on your own, etc.) So I lost interest for a while and wandered around. 'I was studying naturally because I was having fun, but why is it so hard and frustrating now? Is this not right?' I was suffering from these thoughts. Then, I decided to try again with the free class method of daily life coding (taking online classes + hands-on practice), so I previewed several lectures, and by chance, I also happened to listen to Janjaemi Coding's lecture. If I were to define Janjaemi Coding's lecture in one sentence, I would say it is "differentiated teaching ability". Since I have previously taken other instructors' lectures, I could feel that Janjaemi Coding's teaching ability was relatively superior. (This means that if you listen to Mr. Janjaemi Coding's lecture right away instead of wandering around like me, you might not feel its true value.) If you are the type that doesn't get satisfied unless you do everything from A to Z, I don't think I would recommend this lecture. (At least if you are reading this lecture review, you probably are not that type.) However, if you are interested in improving your learning efficiency by appropriately utilizing the 'lecture' tool', I would like to recommend this lecture. From a beginner's perspective, there are often times when you don't understand even the most trivial parts. In my personal opinion, at least in this lecture, such difficulties have been reduced by more than 80% compared to other lectures. The explanations are detailed. For example, even if you simply explain the for loop, in "for item in listdata:", you explain what item means, what listdata means, and what the relationship between listdata and item is. More than anything, for beginners, you explain in detail and to a level that is sufficiently understandable even the most trivial things, such as the last ':' of the for loop, or why you have to use 'Tab' in the next sentence. (Of course, I think that the learner's effort to understand by writing all the codes in the lecture one by one is essential.) I recommend Janjaemi Coding's lecture, but unfortunately, I also had many difficulties while taking the lecture. In particular, I am trying to crawl other sites based on what I learned, but it doesn't work well and I keep getting the "NoneType has no attribute 'get_text()':" error. So, I'm planning to take the data analysis first step (Pandas, plotly) and crawling intermediate (sellenium&scrapy) courses of the already paid teacher, Janjaemi Coding. I wrote a long post, but I'm not sure if anyone will read it. I wanted to express my gratitude to the instructor while completing the course. Thank you. (And I hope you'll do well in other courses in the future)