I will introduce the sites collected by surfing the net with just a name, a link and a brief description. (Add links etc. from time to time) I would be grateful if you could introduce the site in the comments. It does not include famous sites such as Progate and dot install. I also introduce a blog. Please note that the contents are not explained. Let's go.
Codeprep Format: Exercise Price: All free Learning range: Basic grammar, data manipulation, NumPy, Pandas, OOP It is a fill-in-the-blank format and does not require environment construction. There are other than Python. https://codeprep.jp/featured
Format: Exercises / Videos Price: Python is all free Python is all free. https://paiza.jp/works
Format: Blog text Price: All free It is a blog that describes the application in detail. There are a lot of articles. https://www.python.ambitious-engineer.com/
Format: Text / Exercise Price: All free Learning scope: Basic grammar, data manipulation, Numpy, Matplotlib, Pandas, machine learning, deep learning, scraping, data analysis, OOP It's like Progate. There is also a Julia course, all free of charge. https://leagence-prog.com/
Format: Blog text Price: All free This is a blog written by high school students. There are many things other than Python. https://shizenkarasuzon.hatenablog.com/archive
Format: Blog text Price: All free This blog is easy for beginners to understand. https://pyhoo.jp/
Format: Text Price: All free As the name implies. It also explains Tkinter of Python2 series. https://nnahito.gitbooks.io/tkinter/content/
Format: Text Price: All free This is a site where basic grammar is written. http://tohoho-web.com/www.htm
Format: Text Price: All free This is a site that describes the basics and libraries related to numerical values. https://python.atelierkobato.com/
Python-izm Format: Text Price: All free It is a site where everything from introductory to applied is written. https://www.python-izm.com/
Format: Text Price: All free It's about Python basics and machine learning. https://ruby-de-free.net/wp/
Aidemy Format: Exercises / Videos Price: Mostly free (8 out of 10 courses) About Python and AI. https://aidemy.net/courses
KIKAGAKU Format: Text Price: All free Mainly about machine learning. https://www.kikagaku.ai/
AI Academy Format: Text Price: About half free (about 21 out of 45 courses) This is also mainly machine learning. https://aiacademy.jp/
Format: Text Price: All free It describes deep learning and the mathematics used for it. https://tutorials.chainer.org/ja/
Format: Text Price: All free As the name implies. https://japan-medical-ai.github.io/medical-ai-course-materials/
Codexa Format: Exercises / Texts / Videos There are machine learning tutorials and articles. Fee: Most are free (some are charged) https://www.codexa.net/
Format: Exercises / Texts / Videos Price: All free You can practice deep learning and data science. https://weblab.t.u-tokyo.ac.jp/gci_contents/
Coursera Format: Video Fee: Basic free (license acquisition is charged) There are various videos related to AI. https://www.coursera.org/
Format: Blog text Price: All free There are articles such as Python and image processing. https://cpp-learning.com/
Format: Blog text Price: All free It is written around Python. https://akasatanahama.com/
nkmk note Format: Blog text Price: All free Contains articles on Python machine learning and scraping. https://note.nkmk.me/
Format: Blog text Price: All free It explains from the beginning of machine learning. http://machine-learning.hatenablog.com/
OpenBook Format: Text Price: All free Various people are writing articles. https://openbook4.me/
Tellus Trainer Format: Video Price: All free Sakura Internet provides it until June 30th without membership registration. https://tellusxdp.github.io/start-python-with-tellus/index.html
Format: Video Price: All free Similarly, Sakura Internet provides it until June 30th without membership registration. https://tellusxdp.github.io/start-python-with-tellus/index.html
Format: Exercises / Videos Fee: Programming course is basically free (it is easier to understand if you actually go to see it) Learn about machine learning and high school math. https://www.nnn.ed.nico/home
I tried to summarize it briefly. It may be more correct to arrange them than to put them together. I'm planning to release the sequel (?) Of this in the near future. I hope I can help everyone who is refraining from doing so.
HTML, CSS, JS version of this. https://qiita.com/meganeo/items/18f9072f64915c086a87
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