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Python Vs Scala
Published
05th Sep, 2023
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Created by Guido Rossum, Python programming is an object-oriented, high-level performing programming language that focuses on code readability. Python has several new features like it requires less typing, provides new libraries, fast prototyping, etc. It provides 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 developers.
Both Python and Scala play very crucial roles in the growth and future of Data Science, Big Data, and Cluster computing. Knowledgehut python programming language for beginners course and similar courses have helped thousands of data scientists, data engineers, and web & software developers be a part of the data science wave.
Major Differences between Python and Scala
| Sr No. | Python | 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. |
You will learn more about the difference between Python and Scala as you gain hands-on exposure with Scala and python programming language for beginners courses and tutorials.
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Key differences between Python and Scala
The key differences between Python and Scala are explained in the points mentioned below:
- Python language is dynamically typed, while Scala is statically typed.
- Development is faster, rapid and more productive in Python as it doesn’t need any compilation for most of its cases. While in the case of Scala, the process of compilation is slow. Hence, the development of Scala application takes more time.
- There are several platforms available for Python, but CPython is most widely used, whereas applications run in JVM when it comes to Scala.
- As per task complexities, python has huge libraries, whereas, for Scala, it has small libraries.
- Python uses a decent amount of memory, while Scala has more memory consumption.
- Python is easier to learn than Scala.
- Since Python is a dynamic language, it executes slowly as compared to Scala.
- Python is less complex while testing as it is dynamic, while Scala is good for testing as it is static.
- Being a mature language, Python continues to grow. But Scala doesn’t have any widespread knowledge base or use.
To conclude:
We have compared Python and Scala programming 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 advanced python certification with KnowledgeHut. Learn from the best!
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