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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 available under the OSI and FSF approved licenses, so because of this, you do not have to pay license fees in order to use them or to distribute software written using them.
These languages are also Cross-Platform which means that it is convenient for distribution teams where people use Linux or Windows on their computers.
Ruby, as well as Python, are High-Level Scripting Languages, and the programs written using them need not be compiled. The need for a compiler is eliminated.
Both these languages are dynamically typed languages, and 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. Further down the stack, the configuration management software (Chef) is exclusively written using Ruby so if you need to create a new Chef module, it would be using Ruby.
When you compare Ruby using Python, Django is Pythons 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 which 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.
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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.
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 and these are available via PyPI where you can search from over 150000 modules. Comparatively Reusable code in Ruby is called Gems and 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.
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.
Ruby can take much more time to get used to but 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. That is why Test Driven Development (TDD) is one strategy that you can use to your advantage. 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.
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Ruby and Python are the two most mature language frameworks that have provided many benefits 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 email@example.com with your requirements. Our representatives will get back to you within 24 hrs.