Python vs Scala

Differences Between Python vs Scala

Python and Scala are the two major languages for Data science, Big Data, Cluster computing. Both Python and Scala are the general purpose programming languages that support Object Oriented model to create applications.

Python is an interpreted high-level object-oriented programming language created by Guido Rossum. It is a dynamically typed language. It has an interface to many OS system calls and supports multiple programming models including object-oriented, imperative, functional and procedural paradigms.

Scala is also an object-oriented programming language designed by Martin Odersky.  It is used to provide support for functional programming and a strong static type system. Scala gets its name as a blend of ‘scalable’ and ‘language’, where it can scale according to the number of users and here everything is an expression. It smoothly integrates the features of object-oriented and functional languages.

Both Python and Scala languages are playing a very crucial role in growth and future of data science projects. But at the same point in time, both Python vs Scala have few pros and cons.

Python (Pros and Cons)

Scala (Pros and Cons)

Head to Head Comparison Between Python vs Scala (Infographics)

Below is the top 9 comparison Between Python vs Scala

Key Differences Between Python vs Scala

The Differences Between Python vs Scala, are explained in the below-mentioned points:

1. Python is a dynamically typed interpreted language whereas Scala is a statically typed compiled language
2. For development, Python seems more productive and it doesn’t need compilation for most cases which make development faster and rapid. In the case of Scala, a compilation is too slow, thus the development of Scala application takes more time.
3. Python has huge libraries as per the different task complexities. In case of Scala, its libraries are small.
4. Python has a lot of available platforms but CPython is mostly used whereas for Scala, applications run in JVM
5. In case of Python, the low level can be achieved by extending using C and C++. For Scala, it is not easy to achieve the low level and mostly rely on JVM.
6. Python has decent memory usage whereas Scala has more memory consumption.
7. Python is much easier to learn than Scala
8. Being a dynamic language, Python executes slowly than Scala
9. Python is less complex to test because of being dynamic whereas being static, Scala is good for testing
10. Python is a mature language and its usage continues to grow. But in case of Scala, it doesn’t have widespread use or knowledge base.

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Python vs Scala Comparison Table

Following is the set of points shows the comparison Between Python vs Scala

Conclusion Python vs Scala

After comparing Python vs Scala over a range of factors, it can be concluded that selection of any of the language depends entirely on the features that best fit the project needs as each one has its own pros and cons. So, before deciding on a language for programming, developers should learn and analyze different artifacts of both Python and Scala language. Thus, based on the project need, time of work and on all other different discussed aspects, any one of these languages should be selected to reach the desired goal.

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