Java is an object-oriented language with a syntax familiar to many programmers, similar to C / C++, whose appeal and value is its portability and relative efficiency. Its attraction and value lies in its portability and relative efficiency.Java, as a compiled language, has a more machine-centered execution model than interpreted languages such as Python and Perl.Java is not just a language and a library: it is also a virtual machine, an ecosystem.The Java Virtual Machine (JVM) is the idealized and portable platform for running Java code. Java Virtual Machine (JVM) is an idealized and portable platform for running Java code. Programmers don't have to worry about hardware details and don't have to port their code to a new platform; Java promises "Write Once, Compile Everywhere (WORA)". Meanwhile, there are many JVM languages, such as Groovy, Clojure, Scala, Python, or Jython.

Python originated as a scripting language with a syntax that embodies a philosophy of readability, with simple and regular boundaries, encouraging simplicity and a consistent layout of code. known as CPython) is available on many platforms and is the most commonly used of the many implementations.Python's dynamic typing helps with code simplification and composition, and is an interpreted language for many platforms, making it the portable option of choice for programming for many programmers.Python is a general-purpose language built around an extensible object model. Its object-oriented core does not imply that object orientation is the most common way developers use when programming in Python. It supports procedural programming, modular programming, and partially functional programming.

Java PK Python One: Speed

Where network I / O costs or database access dominate, language-specific efficiencies are less important than overall efficiencies in terms of technology choices and design.Neither Java nor Python is suited for high-performance computing, but Java is still slightly better in terms of performance. While some Python implementations (e.g., PyPy) can be fine-tuned for performance, raw portable performance Python does not dominate.

Java's efficiency advantage is in virtual machine execution. When a program executes, the JVM can convert byte code to native machine code. This just-in-time (JIT) compilation gives Java a slight performance advantage over Python.Java has supported concurrency since its first public release, while Python executes sequentially. With the current trend towards multi-core processing, Java code is easier to implement.

Java PK Python #2: Practical Agility

Both Java and Python have benefited from a long history of development.Java is generally considered to be more closely associated with Agile development and its community.Python has always been present in the Agile space and has become more popular for a number of reasons, including the rise of the DevOps movement .

Java has more consistent refactoring support than Python, both because its static typing makes automated refactoring more predictable and reliable, and because of the popularity of IDEs (such as IntelliJ, Eclipse, and NetBeans) in Java development.Python's dynamic typing encourages the use of different types of agility in code, with its focus on simplicity and flow. However, the Pythonic culture favors multiple editors over IDE-based, which means less support for strong automated refactoring.

JUnit's early popularity and its association with test-driven development (TDD) means that of all the languages, Java is probably the only one where unit testing is unanimously popular with programmers. The automatic inclusion of JUnit in IDEs has gone a long way toward helping with this.

Python's scripting origins and the inclusion of testing functionality in its standard library means that Python takes automated testing in modern development quite seriously, although it is more likely to be integration than unit testing. In the Java world, the traditional Java codebase can be improved by adopting another JVM language, such as using Groovy or Clojure for automated testing, or by crossing over to the Java Universe altogether, for example by using Python to handle system side operations .

Java PK Python #3: Architecture

The architecture of software conceived around the Python web framework is not far from that of Java, and both Java and Python have their own open-source communities, with many programmers contributing a steady stream of source code that solves common and not-so-common problems. In fact, both languages have benefited greatly from open source communities.

Java PK Python #4: Legacy

Legacy has inertia in its technology. When an organization chooses a programming language, it is difficult to change it again. For example, the back-end of more enterprise projects may use Java code to extend its functionality, perhaps by migrating to a newer version of the language, or by adding new functionality through other JVM languages such as Scala and Groovy.Java has a longer history in the enterprise than Python, which is why more companies hire Java programmers than Python.

Java PK Python #5: Market Popularity

Java and Python are both in the top ten on the TIOBE programming language list, and are firmly in the top ten. However, Java has always been more popular than Python, but Python has surpassed the popularity of two programming languages, Perl and Ruby.

Additionally, both languages have a strong foothold in education, but Java is more commonly used in college courses than Python.

Conclusion

Java and Python are both dynamic programming languages, and both are associated with openness, so companies, teams, and programmers would do well to keep an open mind when making decisions.