Guy: "Are you a data scientist? Isn't it 100 years faster?" ···It's okay. Let's do it.
(Midnight of the day) Preliminary research is sufficient. Apparently, you need to be able to use Python, R, and SQL. Fufufu, you won. I used to bite SQL. For that purpose, I also found that this "Data Science 100 Knock (Structured Data Processing)" is the fastest way. Alright, I'll install it on my favorite machine, unbranded (: Chinese notebook PC)!
Hmmm, I need Docker first. Alright, download OK! Run! Hmm.
Hmm? What is this error?
Docker Desktop requires Windows 10 Pro/Enterprise (15063+) or Windows 10 Home (19018+).
For Windows 10 Home, do you mean that it should be Ver.19018 or higher? No, maybe I hadn't updated Windows for a while.
··that? I've updated Windows Update, but it's still the same message. By the way, I heard that Docker must be Win10 Pro. It was written that Docker Toolbox is required for 100 data science knocks. that? That's not in Docker. Dangerous. It's jammed. .. .. Hmmm, if nothing is done, he will make a fool of me again. Don't worry if you lick the GGR power of the bottom net people.
・ ・ ・ Hmmmm. Using WSL 2 + Docker on Windows 10 Home, you had to execute commands with Powershell in the first place. Oh, it's easier to understand at here.
that? Then, it will be out of the installation procedure ↓ of 100 data science knocks.
$ cd 100knocks-preprocess
$ docker-compose up -d --build
What should i do? That's when it's time to settle down and official documentation.
Hmmmm. I understand. The following is the procedure described in the official pdf.
However, in the case of * Win 10 Home *,
Oh? I got an error at the 5th stage.
No, in that case, it was written as restarting the Docker container and re-executing it. Go to Docker Desktop and (Stop) stop. And start.
Then re-execute docker-compose up -d --build
!
Oh! I got an error! Fufufu, yosha! This is coming!
http: // localhost: 8888
(Also available from [here](http: // localhost: 8888))
Oh! Something opened! Under this work.
Maybe double-click on this preprocess_knock_SQL.ipynb guy!
I came! Now all you have to do is use SQL.