Shulou(Shulou.com)06/02 Report--

This article mainly introduces "what is the performance of Jython". In the daily operation, I believe that many people have doubts about the performance of Jython. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful to answer the doubts about "what is the performance of Jython?" Next, please follow the editor to study!

Seamless access to Java classes.

Implementing Python in Java can see the interesting role of Java reflecting API. Reflection enables Jython to use any Java class seamlessly. Jython inherits a lot of superior performance from CPython, but unlike other things written specifically for Python, there are some problems between C and Python that limit the use of C library functions. This problem is really solved in Jython, the programming efficiency and productivity have been greatly improved, and the performance of Jython has been greatly improved.

Thanks to its seamless integration with Java, Jython benefits any company that deploys Java applications and frameworks without additional work. Accepting any departmental programming language is not easy for any company and requires careful consideration because it involves the overall structure, servers, and peripheral tools. As a seamless integrated language of Java, Jython can seamlessly increase existing Java applications without major choices. Many companies spend a lot of money on building Java applications, which reduces the efficiency and attractiveness of using CPython, Perl, Ruby, PHP and other high-level languages that cannot transparently integrate existing Java implementations. On the other hand, Jython complements the existing Java framework, and the two can be seamlessly combined, so we can see the excellent performance of Jython.

Efficiency

Computing the efficiency of programming languages is a wide range of topics, which takes into account the programmer's time, overall complexity, lines of code, availability, maintainability and running efficiency. Of course, many people do not agree with the weight given to these variables, and the emphasis is often different in different situations. In Jython performance, running speed can be compared with other high-level languages, but speed is not the goal and feature of high-level languages. The difference is that it is more efficient to translate Jython code into Java when accelerating a needed application, due to the seamless integration of Jython and Java. In addition, direct access to all valid Jaya classes increases the possibility of improving existing classes.

Dynamic type

You don't have to declare types in Jython as you do in Java, because types are determined at run time. The list and mapping types of Jython are instances of advanced polymorphic Java classes. Polymorphism means that objects can work on different data types. For example, the list type of Jython can be a sequence of numbers, a sequence of strings, a sequence of characters, or a combination of them. Dynamic and polymorphic columns are great contributions to programming. From many high-level languages that have abandoned explicit static type definitions, we can see that they reduce the number of lines of code, reduce complexity, and improve program efficiency, which is another excellent performance of Jython.

Introspection and dynamic execution

The performance of Jython is also excellent in that Jython has some internal functions that allow convenient object introspection and dynamic execution of code. Introspection is the ability to discover information about an object, while dynamic execution is the ability to execute code generated at run time. This function greatly reduces the number of lines of code and increases the reliability of the program, making it more convenient to maintain. This also enables better integration of data and program structure or logic without affecting reusability, because everything is determined at run time.

* * Class functions and function programming

Jython has the same class functions as Python. A class function is a callable object that can be called like a variable. * Class functions make sense for event handling and other situations, which results in an increase in the functionality of Java inner classes. Although the inner class of Java is similar to the * class function, it has great deficiencies in convenience and flexibility, because the * * class function in Jython reduces the syntax overhead in Jython and greatly improves the performance of Jython.

Jython also includes all the tools needed for functional programming. This means that mandatory object-oriented functional programming is supported in Jython. This obviously makes a lot of sense in teaching, enabling Jython programmers to choose the programming language that is best suited to a particular problem rather than being imposed by the language. Functional tools such as list inclusion, lambda forms, map, filter, and reduce also play a big role in reducing the number of lines of code, complexity, and the number of name rebindings (name rebinding has a lot of side effects).

Short learning cycle

Any Java programmer can become familiar with Jython in a matter of days. Because there is a lot of content, the key is to learn the details, but it is really valuable to have the rapid development capabilities of Jython in just a few days. Groups engaged in testing and technical support usually do not have much time to learn complex Java code, but learning Jython can quickly improve the technical level and efficiency of the company with little overhead.

Write once, available everywhere

Because Jython is written in Java and can be compiled into Java bytecode, Jython also has the "write once, available everywhere" feature of Java. Jython can run on any compatible Java1.1' or higher Java virtual machine (JVM) platform with very good performance. In addition, you can compile the Jython application into self-contained bytecode, which can run on any compatible JVM. Applications compiled on Linux can run on any other platform that is compatible with JVM.

Java security

The security of Java is special and increasingly important. From sandboxing to signaling, Jython has the ability to use Java's special security framework.

Code clarity

The clarity of the code is the advantage of Python***, and of course the advantage of Jython performance. Unnecessary punctuation and lines are avoided. Jython code is similar to natural language in terms of readability and clarity. This stems from Python's commitment to a simple description of code blocks and statements. Indentation marks blocks of code and newline characters mark new statements, on which syntax usually supports.

At this point, the study on "what is the performance of Jython" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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