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Ruby vs Python


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Whenever a new technology comes in. This is to determine which technology is able to solve all our programming and designing problems and provide us with the most optimum solutions. The technology that is able to do this is valued at a much higher rate and we give the preference to it. The technology is also suggested to others because we encountered a seamless and a less difficult experience with it. Technologies comes and goes but the best experience always remains at the back of our minds. We are even motivated to suggest these technologies to our peers, friends and colleagues. Simply because we got a good experience with it.


Often there are computer technologies that have matured fully to provide stability and benefits for the developers to solve computing problems. In this article, we are going to discuss as well as compare two very much mature technologies and see how do they stack side by side. These technologies are Ruby and the other one is Python. We are going to compare and contrast as well as highlight the features of these two languages.

Let’s start by listing down the similarities as well as the differences between the two languages:


Similarities between Ruby VS Python

These languages are also Cross-Platform which means that it is convenient for distribution teams where people use Linux or Windows on their computers.

Both these languages are dynamically typed languages. This means that you are free to use a variable without declaring it first.
These languages also support Object-Oriented Programming right out of the box



Differences between Ruby Vs Python

Ruby is commonly used in organizations that create web applications. Programs written using Ruby enables teams to swiftly and rapidly develop as well as focus on business processes instead of coding functions from scratch. Ruby is able to provide an excellent Model-View-Controller (MVC) structure so you are able to strictly separate your user interface, data as well as the business functions.



When you compare Ruby using Python, Django is Python’s most popular MVC framework, not only this, but python is also popular beyond the domain of web applications. For example, consider the Pandas library, which is used for data munging and preparation along with other math libraries such as stats-model and numpy. Tensorflow is popular for any kind of machine learning tasks, and Matplotlib is powerful for data visualizations. There is also another library called SciPy.  This library has resources in order to solve math functions.




When it comes to the Flexibility part of Ruby, it has adopted the Perl’s philosophy that there is more than one way to do it. Because of this you will find many different application methods in order to accomplish a certain task in Ruby. Depending on who is writing the code, this can lead to unnecessary complexity as well as obfuscation


On the other hand, Python uses a different approach where simplicity has more preferences and value than complexity. Hence its philosophy is that there should be only one way to do the task. So although Python code will not be the most flexible, it has a very good chance to be readable to an inexperienced programmer.



Read More:  PHP vs Python




Over the past few years, we have witnessed the Use of Ruby slowing down and slowly declining from the list of the top ten languages, from fifth place in 2014 to the tenth place in 2018. Comparatively, Python has maintained its spot as well as it shows an improvement in its Rankings moving from the 4th position in 2014 up to the 3rd position in 2015 where it maintained its rankings till the end of 2018.


We can also check the job opportunities for these languages. Stack overflow returned twice as many results compared to Ruby. If you use LinkedIn, Python is leading by up to 20% over Ruby. Therefore if you want a skill set high in demand then you should go for Python as your preferred skill set. But if you prefer something niche with higher pay in the long run, then you should opt for Ruby.


Know More: 5 Reasons Why You Should Choose Python for Big Data



Reusable Code

When the question is about Reusable code, publicly available and ready-to-use code is an important factor when deciding on a programming language. Python is used to call them as Modules. These are available via PyPI where you can search from over 150000 modules. Reusable code in Ruby is called Gems. There are close to 150000 gems. But the most differentiation between these is the ability to filter them. PyPI allows filtering by categories like “development status” and this can be much more straightforward when manually comparing libraries and manually evaluating the code.


When the case is about packaging and automatic dependency resolution, both these languages offer a painless installation of dependencies in the development environment. An advantage on the python’s side is virtualenv enables you to isolate different versions of the Python interpreter. Ruby also has a similar feature through rbenv or rvm, but this can be a little cumbersome to use.



Learning Curve

Python is much easier and user-friendly as well as quicker to learn for beginners who are new to programming. The syntax is the easiest to understand and is much more readable to the average beginner. But beyond that, you need to make decisions on what framework you should use to supplement the bare-bones Python.


This is because it has inbuilt features like scaffolding and Active Record in order to accelerate your development. As soon as you know about them you will be able to build a CRUD application using API access in a matter of minutes.


Testing and Troubleshooting

Testing the code in the early phases of development is important and has to be done during the code development stages only.  Even though PyTest and unit test have been present, there has not been a single framework for Behavior Driven Development (BDD) in Python. RSpec plays this role in Ruby and behaves seem to show some results but it does not look mature as RSpec.


Recommended Reading: Java Vs Python


Ruby VS Python Direct Comparison

Terms Python Ruby
Definition Python is a high level programming language. Ruby is a general purpose programming language.
Object Oriented object oriented programming language is not provided in full Fully object oriented programming language.
Developing Environment multiple IDEs are supported. Only EclipseIDE is supported.
Mixins Mixins can’t be used. Mixins are used.
Web frameworks Django Ruby on Rails
Libraries  libraries range is larger It has smaller library range than Python.
elseif elif elseif
Devlopers Created 1991 by Guido Van Rossum. Created 1995 by Yukihiro “Matz” Matsumoto.
Unset a variable It will be present in the symbol table as long as it is in scope. Once a variable is set you can’t unset it back.
Anonymous functions Support only lambdas. Support blocks, procs and lambdas.
lambda functions It support only single line lambda function. Its lambda functions are larger.
Functions It has functions.  functions are not available
Community Focussed in academia and Linux. Mainly focused on web.
switch/case statement It doesn’t support switch/case statement. It support switch/case statement.
yield keyword It returns execution to the scope outside the function’s invocation. External code is responsible for resuming the function. It will execute another function that has been passed as the final argument, then immediately resume.
Built-in classes Built-in classes can’t be modified Built-in classes can be modified
Inheritance Multiple inheritance is supported Single inheritance is supported
Tuples It support tuples. It doesn’t support tuples.
Usage Google, Dropbox, Instagram, Mozilla, Yahoo, Venom, You Tubes Apple, GitHub, Twitter, Hulu, ZenDesk, Urban Dictionary




Ruby and Python are the two most mature language frameworks that have provided many benefits. These benefits are for web development and made the overall development effort a whole lot easier and flexible. If you’re looking to hire Ruby Developers or to hire python developers then contact us at with your requirements. Our representatives will get back to you within 24 hrs.

Hope you like this comparison on Ruby vs Python.



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