Created by Guido Rossum, Python is an object-oriented, high-level performing programming language which focuses on code readability. Python has several new features like it requires less typing, provides new libraries, fast prototyping, etc. It provides with dynamic typing and dynamic binding options, making it extremely attractive in the field of Rapid Application Development.
Designed by Martin Odersky, Scala is also an object-oriented programming language that also supports the functional style of programming, but on a larger scale. It gets its name as a combination of the words ‘scalable’ and ‘language’, where it can scale according to the number of users. With time, it has become one of the most in-demand technologies amongst the developers.
Both Python and Scala play very crucial roles in the growth and future of Data Science, Big Data, and Cluster computing. Below are a few major differences between Python and Scala.
|1.||Python is a dynamically typed language.||Scala is a statically typed language.|
|2.||Since it is dynamically typed Object Oriented Programming language, objects need not be specified.||Since it is statically typed Object Oriented Programming language, the type of variable and objects are needed to be specified.|
|3.||Dynamically typed language creates extra work for the interpreter at the run time. It has to decide the type of data at run time.||There is no extra work in Scala, as it uses JVM. Hence, it is 10 times faster than Python.|
|4.||It decides the type of data at the run time.||This isn’t the case for Scala. Hence, Scala should be considered instead of Python when dealing with large data process.|
|5.||Python has huge community support.||Scala has good community support as well, but it is lesser when compared to Python.|
|6.||Testing process and its methodologies are complex in Python because it is a dynamic programming language.||Testing is done better in Scala as it is a statically typed language.|
|7.||Python supports the forked process, which is a heavyweight process, while it does not support multithreading.||Scala has relative cores and a list of asynchronous libraries. Hence, it is a better option for implementing concurrency.|
|8.||Python is very popular thanks to its easy and English-like syntax.||For scalable and concurrent systems like SoundCloud and Twitter, Scala plays much bigger.|
|9.||It is easy to learn and use.||It is less difficult to learn than Python.|
|10.||Python is slower in terms of performance.||Scala is 10 times faster than Python.|
|11.||Developers find it easy to code in Python.||Scala isn’t easy to master due to its syntactic sugars.|
|12.||Whenever any change is made to the existing code, Python becomes prone to bugs.||Scala provides an interface to catch the compile-time error.|
|13.||Python has proper libraries and tools for data science, machine learning and Natural Language Processing (NLP).||Scala does not have any such tools.|
|14.||Python has an interface for various OS system calls and libraries. It has many interpreters as well.||Scala is a compiled language and hence, the source codes are compiled before execution.|
|15.||Python can be used for small-scale projects.||Scala can be used for large-scale projects.|
|16.||Python does not provide with scalable feature support.||Scala provides scalable feature support.|
The key differences between Python and Scala are explained in the points mentioned below:
We have compared Python and Scala over a range of factors, and it can be deduced that the selection of language depends on you and the requirements of your project. Hence, analyze and learn all the different artifacts of both Python and Scala before deciding on which one language. If you wish to excel in your career as a successful Python developer, you can opt for Python Certification with KnowledgeHut. Learn from the best!
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