Python与 Scala

Python是一种高级、解释型和通用的动态编程语言，专注于代码的可读性。 Python需要更少的输入，提供新的库、快速原型设计和其他几个新功能。
Scala是一种高级语言。它是一种纯面向对象的编程语言。 Scala 的源代码的设计方式使其编译器可以解释Java类。

以下是Python和 Scala 之间的一些主要区别：

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.