Python vs Scala

By | August 26, 2019

Data Science is one of the most demanding Jobs of 2019-20. With the emerging advancement in Machine Learning and Artificial technology, Data Scientists providing a base structure to new models. When Data is more valuable than money itself, Data Scientists are the main priority of many IT companies, so they could extract valuable information and can provide a drastic growth in their business.

Right Now, for Data Science and Big Data, Python and Scala are the two most used languages, though there are many other languages such as Java and R which are also doing a great job in Data Science.

Here in this article, we have provided a simple comparison between Python and Scala so you can choose the ideal programming language for your career. Before we compare these two languages lets have a brief introduction of each.

Scala

Scala is an Object-Oriented programming language which is quite similar to Java. Scala is mostly used to write server applications with data science models.

Scala is a static typed programming language and provides interoperability with Java. Many features of Scala meet with Java, and it also uses the same Java Virtual Machine to run its source code. The interoperability with java helps Scala to borrow all Java libraries directly.

Scala Pros

  • Provide High Performance
  • General Purpose programming language with multi-paradigm
  • Scalability is the first name of Scala
  • Use JVM to compile its byte code.
  • Scala can use Java libraries

Scala Cons

  • It has a high learning curve and difficult to learn
  • Comes with limited backward compatibility
  • Does not have a huge community.

Python

Python is an Object-Oriented programming language which is capable of doing almost everything it is not specific of any field but capable of performing any task. Like Scala, Python can perform Data Science operation with its numpy, scipy, libraries and it even contains libraries like matplotlib which is capable of visualizing graphs.

Python uses Interpreter as its translator and it includes many paradigms of a programming language such as object-oriented, imperative, functional and procedural programming.

Unlike Scala Python follow the dynamic approach of typing which is more convenient, because in dynamic programming we do not have to specify the object type, it’s all handled by the python interpreter.

Python is available for almost every platform which includes Unix, Windows, Mac OS, and so on. As we know that one of the main reasons why Python is so popular is its libraries which comes very useful, and because of its insane amount of libraries python cover lot of fields in the tech world, even it borrows many libraries from C and C++.

Python Pros

  • Easy to learn Programming language.
  • Easy syntax.
  • Multi-Platform support
  • Multi-Paradigm Programming language
  • A large number of libraries.
  • Versatile programming language.
  • Large Community.

Python Cons

  • Slow performance as compare to its rival programming languages such as Java and C++
  • Lack of Mobile and android development support.
  • Week Memory management support.

Python vs Scala: Head to Head Comparison

Python

Scala

Definition:

Python is a general-purpose multi-paradigm Dynamic typed programming language Scala is also a General-purpose multiprogramming language, but it approaches the statically typed programming.

Performance

Python interpreter consumes more time to show results because it performs an extra task because of the dynamic nature of variables and functions. On the other hand, Scala uses static programming which makes it 10 times faster than Python

Learning Curve

Python is very easy to learn it does not contain complex syntax. Scala is difficult to learn as compared to python.

Extra work for Translator

Python is a dynamic language so its interpreter has to perform more task with program dynamic elements Scala is a statically typed language and its compiler does not have to perform the extra task on program elements.

Multithreading

Though python supports multi-threading, its working is not that much reliable. Scala comes with a list of asynchronous libraries and better reactive code which is best for concurrency.

Testing Complexity

Python is a Dynamic Typed language which makes it’s testing methodology is quite complex. On the other hand, Scala is a statically typed programming language and testing process is simple with it.

Coding Complexity

Python follows simple syntax and you can write your code very easily on python. Coding on Scala could be difficult for a beginner.

Library Support

Python has libraries for almost every field whether it’s for Data Science, Artificial intelligence, Machine learning, Deep learning, Web development or Desktop application. Though Scala provides libraries and standard functions for Data Science but does not contain as many libraries as python has.

Scalability

In a direct comparison with Scala, Python is not that much Scalable. Scala is made of two words “Scalable” and “Language” we can say that scalability is the first name of Scala.

Community Support

Its all community support which makes a programming language popular and python has huge community support. Scala does not have community support as like as python.

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