Python is a beginner friendly programming language, a versatile, interpreted, and object-oriented high-level language.

It has a very small assembly and is very easy to learn, read, and maintain. Its interpreter is available on a variety of operating systems, including Windows, Linux and Mac OS. Its portability and scalability make it easier to use.

Python libraries can be used for:

  • Web development

  • Data science

– Machine learning

  • multimedia

  • Software development

  • Web frameworks like Django

  • GUI application

Most geeks think of Python as an interpreted language, but it also has a compilation process. The compilation section is completed during code execution and is removed. The compiled content is then converted to bytecode. Further extension to Python virtual machines through machines and operating systems. This article highlights 11 of the best Python compilers and interpreters for Python programmers.

The best Python compiler and interpreter

1.Brython

Brython is a popular Python compiler that converts Python into Javascript code. It provides support for all Web browsers, including a mobile Web browser. It also supports the latest Html5/CSS3 specification and can use popular CSS frameworks such as BootStrap3 and LESS.

Address: brython. Info

2. Pyjs

Pyjs is a rich Internet application framework and a lightweight Python compiler that executes Python scripts directly from a Web browser and programs from the browser’s JS console.

It’s a Python to Javascript compiler that makes code run in a Web browser. It comes with an Ajax framework and Widget Set API.

Website: pyjs.org

3. WinPython

It is designed for the Windows operating system. It has some CPython features. It comes preloaded with popular libraries for data science and machine learning, such as Numpy, Pandas, and Scipy. It comes with a C/C++ compiler, which you won’t use most of the time. Other than that, it only has the Python compiler and no other packages.

Address: winpython. Making. IO

4.Skulpt

Skulpt is a browser implementation of Python that can be added to HTML code. This Python compiler is written in Javascript and runs code on the client side without additional plug-ins, tooling, or server support. The Skulpt interpreter imports the code stored in the.py file on the site.

Website: skulpt.org

5.Shed Skin

The compiler compiles Python standard library modules into C++, which converts statically typed Python programs into very limited, optimized C++ code. Performance can be improved by reimplementing its built-in Python data types as its own set of classes, which can be efficiently implemented in C++.

Website: en.wikipedia.org/wiki/Shed\_…

6.Active Python

This is a Python distribution for Windows, Linux, and Mac Os, with a free community version available. It can be installed on many platforms, some of which are not supported by Python-like AIX. It offers more compatibility than Python.

Website: www.activestate.com/products/ac…

7.Transcrypt

It is a popular compiler that compiles Python code into simple, readable Java code. It is a lightweight Python compiler that supports slicing matrix and vector operations. Transcrypt can also run on Node.js. Layered modules, multiple inheritance, and native classes add a lot of functionality.

Website: www.activestate.com/products/ac…

8. Nutika

This is a source-to-source Python compiler that converts Python source code into C/C++ executable code. It makes use of many Python libraries and extension modules. It comes with Anaconda, which can be used to create data science and machine learning projects.

Website: www.activestate.com/products/ac…

9. Jython

It is written in Java and can be executed on any platform running the JVM. Jython compiles Python code to Java bytecode, making it cross-platform. It can be used to create solutions for Servelets, Swing, SWT, and AWT packages.

Jython uses a global interpreter lock (GIL) like CPython. In addition, you can extend Java classes to Python code.

Website: www.jython.org

10. CPython

CPython is the default and most widely used Python compiler. It is written in C and uses a GIL (global interpreter lock), which makes communication between concurrent CPython processes difficult.

The compilation steps in CPython include decoding, tokenization, parsing, abstract syntax trees, and compilation.

Website: compilers.pydata.org

11. IronPython

This version of the Python compiler is implemented on Microsoft’s.NET framework and Mono. It also provides dynamic compilation and an interactive console.

It makes installation very easy and is cross-platform compatible. It also has a standard library and different modules, mainly used to implement the USER interface library of the.NET framework.

Website: ironpython.net

conclusion

Python is a development language that offers possibilities for many implementations, such as Python to Java, Python to Javascript, or others.

These compilers for Python help us understand how versatile it is.

Source: mp.weixin.qq.com/s?__biz=MzU…