As we all know that python is an Interpreted High-Level Programming language, which means python use Interpreter software as a translating and executing tool to execute the python file. Though by default, python termed as an interpreter, there are many software on the internet, which are known as Python compilers. A python compiler is a program that can translate your python code to another programming language code so it can run on different platforms. Here in this article, we have mentioned some best python compilers which you can explore.
What is a Compiler?
A Compiler is a computer program or software which is used to translate the code of one programming language to another programming language. The primary work of a compiler is to bring the high-level program to the machine language or byte code and make an executable file.
Still, there are different kinds of compilers such as source to source compiler and cross compiler. A cross compiler is a program which is used to compile a code which belongs to the different operating system .
A Source-to-Source compiler translates between high-level programming languages.
Further Reading about What is Compiler?
Best Python Compiler For Developers
Here we have mentioned some of the best python compilers which you can find on the internet. Though by default, python uses CPython compiler-cum-interpreter, you can install different translator tools to convert your python code to the corresponding other programming languages.
- Brython
- Nuitka
- Py JS
- Shed Skin
- Winpython
1. Brython
Supported by Python3.X versions We all know python contains many frameworks that are used to create back-end technologies for web development. Still, if you want your python code to execute at the client-side like a front-end technology, you need a compiler that can convert your python code to an executable file for browsers, here Brython can help you. Brython stands for Browser Python, and it is a source to source python compiler, which is also known as the Python 3 implementation for the client-side web-programming. It is designed to replace JavaScript as the scripting language for the web, and it is capable of converting your python code into JavaScript code. HTML5 environment support Brython and it also contain the interface to the DOM object and events. Mostly all the web-browser give support for Brython, even mobile browsers. It is also alleged that Brython provides similar performance speeds like CPython which is the python default interpreter. It supports the latest version of HTML5 and CSS3 along with some framework of CSS such as Bootstrap3 and others, and it also comprises a JavaScript console that can be used to evaluate the execution time of the JS and Python code. Brython covers most of the syntax of Python, such as list comprehension, functions, generators, decorators, etc.
2. Nuitka
URL: http://nuitka.net/
Supported by Python 2.6, 2.7, 3.3 to 3.7
Nuitka is a source-to-source python compiler, which is capable of translating your python code to the equivalent C++/C source or executable code. It is supported by both the versions of Python, which includes 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, and 3.7. The main objective of Nuitka to create stand-alone programs or applications using python so those systems which do not have python installed can also run the bytecode of C++ using the Operating System. The concept of Nuitka came into existence at the EuroPython conference in 2012, and at the end of 2014, Nuitka was able to use all the features of Python programming language, which includes all the python standard libraries and modules.
3. PyJs
URL: http://pyjs.org/
Supported by Python 2.7 and the latest versions of Python 2.
If you want to run your python code at the client-side, on the user web browser, then PyJs is one of the options you can use apt. It contains a stand-alone Python to JS compiler, an Ajax Framework, and some widget toolkits which help to translate your Python code to the equivalent JS code so that it could be run on the Desktop browser. With the help of PyJS you can create front-end applications without using JavaScript; there is one limitation of PyJS; its applications are not mobile-friendly. That’s why it always recommended for Desktop based web-application. With the help of its Ajax framework, you get access to the Document Object Model (DOM) of the current versions of JavaScript.
4. Shed Skin
GitHub Repo: https://github.com/shedskin/shedskin
Supported by Python 2.4 to 2.6 versions
It is another popular python source-to-source compiler that is capable of translating your python code to the corresponding C++ code, that’s why it is also known as Python to C++ programming language compiler. Both C++ and Python are different programming languages, so this compiler can purely translate your Dynamic Python code to the C++ implicit static code. As we all know python is built on C/C++, and it also uses some of their libraries, so Shed Skin often used to create stan-alone programs and extension modules that can be used in large python programs. There are some data types of restrictions in Shed Skin. Still, you can freely use the python standard libraries and modules such as random, math, etc. With Shed Skin, we can wrap C++ classes so they can be used in Python class-based programs.
5. WinPython
URL: https://winpython.github.io/
Supported by Python 3.7 and upper versions
The initial release of python was unstable, and there were many bugs in this programming language. Windows Operating Systems users were finding some troubles using python in their system, and to solve this problem, WinPython was introduced. WinPython is a Distributed Python compiler that was specially designed for the Windows Operating Systems, to solve the Python bug problems in windows. Though now python core developers have released the stable version of Python for every operating system so you would not find developers using WinPython, now you can use Python default implementation CPython.
Conclusion
Though there are not too many developers who use Python compilers to translate the Python code to some other programming languages because it’s of no use if you want to create some JS and C++ extensions or applications from scratch using Python. We hope you like this article, and you get to learn something new about python. If you have any suggestions related to this article, feel free to comment.
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