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Python vs Scala

Last Updated : 27 Jan, 2019
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Python is a high level, interpreted and general purpose dynamic programming language that focuses on code readability. Python requires less typing, provides new libraries, fast prototyping, and several other new features.
Scala is a high level is a purely object-oriented programming language. The source code of the Scala is designed in such a way that its compiler can interpret the Java classes.

Below are some major differences between Python and Scala:

Python Scala
Python is a dynamically typed language. Scala is a statically typed language.
We don’t need to specify objects in Python because it is a dynamically typed Object Oriented Programming language. We need to specify the type of variables and objects in Scala because Scala is statically typed Object Oriented Programming language.
Python is easy to learn and use. Scala is less difficult to learn than Python.
An extra work is created for the interpreter at the runtime. No extra work is created in Scala and thus it is 10 times faster than Python.
The data types are decided by it during runtime. This is not the case in Scala that is why while dealing with large data process, Scala should be considered instead of Python
Python’s Community is huge compared to Scala. Scala also has good community support. But still, it is lesser than Python.
Python supports heavyweight process forking and doesn’t support proper multithreading. Scala has reactive cores and a list of asynchronous libraries and hence Scala is a better choice for implementing concurrency.
Its methodologies are much complex in Python as it is dynamic programming language. Testing is much better in scala because it is a statically typed language.
It is popular because of its English-like syntax. For scalable and concurrent systems, Scala play much bigger.
Python is easy for the developers to write code in it. Scala is less difficult to learn than Python and it is difficult to write code in Scala.
There is an interface in Python to many OS system calls and libraries. It has many interpreters It is basically a compiled language and all source codes are compiled before execution
Python language is highly prone to bugs whenever there is any change to the existing code. No such problem is seen in Scala.
Python has libraries for Machine learning and proper data science tools and Natural Language Processing (NLP). Where as Scala has no such tools.
Python can be used for small-scale projects. Scala can be used for large-scale projects.
It doesn’t provide scalable feature support. It provides scalable feature support.

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