강의

멘토링

커뮤니티

BEST
Data Science

/

Data Engineering

Easy Python Advanced Crawling [Scrapy, Selenium, Headless Chrome]

For those who want to learn data science, big data, and crawling - We've designed it so that you can quickly learn the latest and best crawling technologies with various examples.

(4.7) 수강평 45개

강의소개.상단개요.수강생.short

난이도 초급

수강기한 무제한

  • funcoding
Web Crawling
Web Crawling
Scrapy
Scrapy
Selenium
Selenium
Big Data
Big Data
Web Crawling
Web Crawling
Scrapy
Scrapy
Selenium
Selenium
Big Data
Big Data

[Share] Flutter Bootcamp for Beginners to Full Stack [Full Stack Part 4] Open

Hello. This is Dave Lee from Janjaemi Coding.

The Flutter Bootcamp [Full Stack Part 4] course for beginners of full stack is now open and we would like to share it with you .
We also applied the maximum possible period discount to make it so that the content is rich enough to be viewed over and over again, but at a low price.

Flutter is a technology that allows you to create apps/programs for the web, Android, iPhone, MACOS, WINDOWS, and even LINIX with a single code. Above all, it is highly productive. It is a very attractive technology that was created by Google and is being updated quickly. It has already surpassed React Native overseas for a long time and is becoming a hot technology in Korea as well.

Whether you're a developer who wants to develop front-end expertise, a full-stack developer, or a back-end developer who wants to learn front-end technology and gain a senior-level perspective, I think this will be helpful. I think it'll also be helpful for those who want to create a decent service even on a very small scale.

In fact, the hidden meaning was how can I experiment with plausible web and apps by myself? It doesn't have to be alone, but if I apply the latest technology, is there a roadmap that can be a shortcut even for beginners with fewer resources? The results I've used are really FANTASTIC. Start with the easiest Python, go through FLASK (if you want to improve performance, you can use a similar FASTAPI based on your understanding of FLASK), get a feel for web basics (HTML/CSS/JS), bring in Docker to maximize server operation efficiency, and then create a front-end with FLUTTER with one code!

If you use chatGPT here, you can create a plausible service with minimal resources. To be more competitive, it would be good to include AI, and you can get a feel for AI with a separate data roadmap. By adding data to chatGPT (or adding prompt engineering), you can also create a service that is strong in a specific area.

It is based on the latest version of FLUTTER, which is changing rapidly, and the lecture itself is structured so that it can cover the backend. It is structured so that quick learning is possible with practice problems and plausible hands-on practice and projects.

Personally, I took a more detour than I thought to make Flutter my technology. Since there are so many functions, if I took the wrong path, it would take hours and hours, and I couldn't get a feel for it. Based on this experience, this lecture is the fastest learning method that I used to be able to make Flutter my technology in a short period of time. So you will be able to use Flutter in a short period of time.

Even, I will explain tips for using chatGPT in Flutter. If you use chatGPT in Flutter development, you will be able to quickly use Flutter based on the knowledge in this lecture.

It opened today, and since there is a lot of content, there may be mistakes. If there are any mistakes, please let me know and I will correct them right away.

I hope this lecture was helpful.

thank you

댓글