Python vs Java

Python and Java are both programming languages, each of which has its advantages. The most significant difference between the two is how each uses variables. Python variables are dynamically typed whereas Java variables are statically typed.

In Python, type checking is deferred until runtime. There's no need to declare a variable name and type prior to using the variable in an assignment statement. Also, a Python variable name assigned to one type can be reassigned to an object of a different type. Python container objects, like lists and dictionaries, can contain objects of any type. Type of objects retrieved from the container objects are remembered so typecasting is unnecessary.

Java variables are type checked during compile time, unlike Python. A Java variable name and its type need to be declared before using the variable in an assignment statement. If an object is assigned to a variable that is not of the same type, then a type exception will occur. In addition to that, Java container objects can only accommodate generic type object. The type of object retrieved from the container is unremembered, so typecasting is necessary.

Another significant difference between Python and Java is syntax simplicity. Python is easier to use.

As an example of syntactic simplicity, look at the classic "Hello World" program. In Python, someone would simply enter: print ("Hello, world!"). On the other hand, the Java version would be more complex. It would be more like:

public class HelloWorld { 

            public static void main (String[] args) { 

                        System.out.println("Hello, world!"); 

            } 

Java is also more vulnerable to small coding errors that are easy to make and harder to locate. For instance, in Python, the semicolon is optional. In Java, the semicolon is required. A missed semicolon causes an error. In contrast, Python uses indentation to define blocks which improves code readability. Java uses the curly brace, {}. A missed/misplaced curly brace will cause a syntax or semantic error. 

Both Python and Java have their own set of advantages and disadvantages. Python might be better than Java for one purpose and Java might be better than Python for another purpose. Programming in Python saves time in typing and troubleshooting compile-time errors. On the other hand, the absence of compile-time error checking lets several errors stay undetected in the code. Integration platforms, like SnapLogic, enable Python and Java to solve problems together.

SnapLogic provides tools to connect various cloud, on-premises, and hybrid software applications and data sources. Compare SnapLogic with other integration platforms.

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