Differences Between Java and Python
Both Java and Python are object-oriented programming languages that can be used for websites or web-based application development processes. In terms of the coding and implementation, Java code is lengthy, needs a semicolon at the end of each line, declaration of data types is static, and requires in-depth coding knowledge. On the other hand, Python is simple and short, doesn’t need a semicolon to represent the end of the line, data types declaration is dynamic here, and it doesn’t require in-depth coding knowledge as it is easy for anyone to learn.
Head to Head Comparison Between Java and Python (Infographics)
Below is The Top 9 Comparison Between Java vs Python:
Key Differences Between Java vs Python
Below are the most important differences:
- Java language is more about syntax; if one can forget to add curly braces or semicolons, this will show an error as your output. But there is nothing like that with python; there is no need for a semicolon and curly braces in the end, but python follows the indentation process so that it will make your code readable.
- Java programming is statically typed. One has to explicitly mention the data type of variable; if data (int, float, double, character) does not mention it, then the error will occur in the program. Python has dynamically typed means one has directly assigned a value to a variable at the runtime; it will assume data type.
- Java codes are more complex than python codes. If one can write a hello world program in both, then you can observe the complexity of the code; 4 lines of code in Java and the same hello world program in python will be of 1-line code.
- If someone works on a project which requires a fast speed, then java is the best choice because python is an interpreter, and it will assume the data type of a variable at runtime, due to which it becomes slower than java.
- Java has JDBC (Java DataBase Connectivity), which is widely used connectivity with different databases like SQL, SQOOP, etc. and JDBC is very popular also, but Python’s database access layers are weaker than Java’s JDBC. This is why it rarely used in enterprises.
- Java enjoys more undeviating refactoring support than python, thanks to its static type system and universality of IDE’s in development. Python has always had an existence in the talent space and has popularity for many reasons, including Data Science and DevOps movement.
- Java architecture: -JVM (Java Virtual Machine) is an engine that gives a runtime environment to operate the Java Code. It turns Java bytecode into machine language. JVM is a chunk of JRE (Java Run Environment).
Source – http://geekrai.blogspot.com/2013/03/jvm-architecture.html
Python architecture – Source – http://www.oznetnerd.com/interpreted-bytecode-just-time/
- Python Interpreter translates your source code into machine-independent bytecode (. pyc).
- Stores .pyc file __PyCache__ folder.
- When you run the same program (Without changes), it will use it without translating it again.
- Byte Code (. pyc) will be shipped to PVM. It executes the code.
Java vs Python Comparison Table
Below are the lists of points; describe the comparisons:
|Basis for Comparison||Java||Python|
|Code||Longer lines of code as compared to Python
|Syntax||At the end of the statement, if you miss a semicolon, it throws an error.
In Java, you must define a particular block using curly braces; without it, the code won’t work.
|In python, states do not need a semicolon to end.
In python, you have never seen a sight of curly braces, but indentation is mandatory in python. Indentation also improves the readability of code.
|Dynamic||In java, you must declare the type of data.
||Python codes are dynamic typed. This means that you don’t need to declare a type of variable; this is known as duck typing.
|Speed||In terms of speed, Java is faster. Whenever in projects speed matters, java is best.||It is slower because python is an interpreter, and also it determines the type of data at runtime.|
|portability||Due to the high popularity of Java, JVM (Java Virtual Machine) is available almost everywhere.||Python is also portable, but in front of java, python is not popular.|
|Databases||(JDBC)Java Database Connectivity is the most popular and widely used to connect with the database.||Python’s database access layers are weaker than Java’s JDBC. This is why it rarely used in enterprises.|
|Easy to use||Java is not easy to use as compared to python because there is no dynamic programming concept, and codes are longer than python.||Python codes are shorter than java. python follows dynamic programming python codes not only easy to use but also easy to understand because of indentation.|
|Practical Dexterity||Java enjoys more undeviating refactoring support than python, thanks to its static type system and universality of IDE’s in development.||Python has always had an existence in the talent space and has the popularity for many reasons, including Data Science and DevOps movement.|
|Legacy||Java’s history in the enterprise and its slightly more verbose coding style mean that Java legacy systems are typically larger and more numerous than python’s.||Python has less legacy problem, so the organization finds difficulty for the script to copy and paste codes.|
From the above discussion, we can conclude that both Java and Python languages have their own benefits. It really is up to you to opt for a particular language for your project. Where Python is simple and succinct, Java is quick and more portable. While Python codes are dynamically coded, Java is statically coded. Python’s future is very glaring from where we see and presume that its future is assertive. Python is far from perfect, but if we say that python is a future and emerging language, then we have to agree that Java is present, its APIs are widely used.
Both Java and Python are powerful in their own areas. Both Java and Python languages are related to accessibility, so companies, departments, and developers are best to keep a mind open when deciding.
This has been a guide to Differences Between Java vs Python, their Meaning, Head to Head Comparison, Key Differences, Comparison Table, and Conclusion. You may also look at the following articles to learn more –