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Task Automation

Python Web Crawling & Automation to Do My Work (feat. Stock, Real Estate Data / Instagram)

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

(4.8) 79 reviews

1,408 learners

Level Basic

Course period Unlimited

  • DeepingSauce
Python
Python
Web Crawling
Web Crawling
Python
Python
Web Crawling
Web Crawling

[New lecture open] The last lecture of the ‘Python + Stock Quant Investment’ curriculum has opened.

Hello. This is Deepingsauce, Infraon knowledge sharer.

Finally, we have opened the 'Data-based Stock Quant Investment with Python Part 2' course that many of you have been eagerly waiting for.

- Link: Data-based stock quant investment with Python part 2 (click to go)

In this class, I have included the content that I ultimately wanted to convey to students when I decided to createa Python + stock quant investment curriculum about a year ago, and this content marks the end of the curriculum.

Even though it has not even been a year since the first lecture was opened, 4,200 people have shown interest in the lecture. In order to repay that favor, we have organized the lecture with even more substantial content.

I hope that this lecture, as well as the lectures in this curriculum, will provide you with an opportunity to further improve the quality of your life.

Have a happy Chuseok holiday, and we will work hard to come back with better content in the future.

thank you

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