Which course is for Ruby, and is Ruby like Python?

Question

I kinda want to try out Ruby, but I don't know which course is for Ruby. Also, I'm wondering if Ruby is like Python.

Answer 1

Ruby has some similarities with Python in the keywords and parts of syntax, but they still have major differences

There is no full course for Ruby, but there are community lessons made by Sololearn and also some community members. You can go to Community(at bottom of view), then click search icon(top right) and search for Ruby. For example:
https://www.sololearn.com/learn/o-Ruby/2702/?ref=app

Answer 2

Stanley Nguyen , if you enjoy Python, you’ll likely find Ruby approachable, though its community is smaller today.

See, both Python and Ruby are high-level, interpreted languages with clear syntax and readability.
Their usage is kind of similar too viz., web development, automation, scripting. Python is widely used in data science, AI, and backend development for web apps and web games etc. while on the other hand, Ruby is mostly used for web development with Ruby on Rails.
You can say Ruby is more flexible and concise and also allows for multiple approaches towards something. It is famous for putting the programmer first because Matsumoto Sir created it such that it did not feel restricting or foreign to the programmer.

I would say, trying both languages is a great idea!

Answer 3

There is no full course for ruby as Afnan Irtesum Chowdhury said, and if you want to learn it, you can try the community lessons.
Ruby has a few similarities with python but mostly, it's different.

Answer 4

If you're looking for a Ruby course, popular options include The Odin Project, Codecademy's Learn Ruby, freeCodeCamp's video courses, or various offerings on Udemy. Ruby and Python are both high-level, object-oriented languages with clean syntax and are good for web development. Ruby prioritizes programmer happiness and is most known for web development with https://www.mcdvoice.it.com Rails, while Python emphasizes simplicity, has a larger ecosystem, and is widely used in data science, AI, and scientific computing, making it more versatile.