Python Compilers

Best 7 Python Compilers to be considered in 2021.

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Python Compilers


Introduction :

Are you searching for best python compilers and what to discover Python more this is the right place where we will try to fulfill your thirst of discovering Python at its fullest.

Python Compilers” this phrase consists of two different words “Python” and “Compiler“. So, lets get these words clearly understand first and then we would go on a hunt to find the best Python Compilers (Interpreters).


What is Python ? 

Python is a high-level programming language. Python was developed by Guido van Rossum in year 1991.

Python is an  interpreted language hence it mainly requires interpreter which reads, compiles the code and also gives the output of the code in run time.

To get more information about python and its implementation head over to :


What is a Compiler ?

A Compiler is a special program that processes statements written in a particular programming language and turns them into machine language or a code that a computer processor use.


Best Python Compilers :


  1. Nuitka.




Python Support ( 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, and 3.9)


It is a Python Compiler written in Python. It can be seamlessly called as the extension or additional feature to Python interpreter.

Nuitka translates the python modules into a C level program and then executes the code.


Features :
  • Nuitka is one of the most fastest compilers of python out there that compiles the entire python code to C for execution


2. PyCharm




(Python Support :
  • Python 2: version 2.7
  • Python 3: from the version 3.6 up to the version 3.10 )


PyCharm is an IDE (integrated development environment) of Python extensively used by python developers to develop and maintain small scale appilcation. 

PyCharm has a built python interpreter that reads the code and compiles the code in the run time.

PyCharm is gaining more attention due to its ease of use and flexible environment of running and writing Python programs.


Features :
  • It helps the developers in writing high-quality program with less effort.
  • It helps developers in editing and enhancing the code with less effort and time.
  • The main point of attraction is that it helps developers in creation of web applications in Python.
  • It is highly customizable and full features for making the program ease to navigate and easy to read.


3. Pydev




Python Support ( 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, and 3.9)


Pydev is a powerful plugin of an IDE Eclipse. This helps Eclipse compile the Python code in its environment. Due to combination this package becomes most favourable for creating large applications. With the ease of using the Eclipse IDE features.

Pydev is used for programming in Python supporting code refactoring, graphical debugging, code analysis.


Features :
  • It provides code completion along with additional features like auto import and code refactoring facilities.
  • It can also be used with the back-end Python framework “Django” for the development of web applications.
  • The Eclipse IDE comes with the debugger which can be used for debugging Python programs when needed.
  • Version or code control is supported with Git integration.


4. Brython 




Python Support: (3.3, 3.4, 3.5, 3.6, 3.7)


Brython is a compiler that helps Python code be compiled into JavaScript. 

Brython phrase itself is madeup of two words “Br stands for Browser” and “ython stands for Python”.

Due to Brython it opens huge platform for Python to developed for the client side so as the JavaScript language. Brython comes with an interface to the DOM objects and events.


Features : 
  • Use the power of Python to be use on the client side of more automation and efficiency.
  • Support of the latest web technologies such as HTML5, CSS3 is also available.


   5. CPython 




Python Support ( 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, and 3.9)


Cython is a compiler that converts Python Code to C language. Cython avails the best powers of both the programming languages such as efficiency and ease of writing code of Python and speed of C language. 

CPython uses the C libraries to make the Python code run more fast and efficient.


Features :
  • Cython uses external C libraries to make Python run.
  • C and Python can be used for memory management.
  • Cython C code benefit from releasing the GIL.
  • Cython can be used to oburn sensitive Python Code.


 6. PyJs 




(Python Support Up to : Python 2.7)


PyJs is a similar compiler such as Brython that compiles Python code to JavaScript in order to understand by the browsers.

It used for development of client side web applications and desktop applications using the python code.

The PyJs compiler is built over AJAX a JavaScript framework.

PyJs helps in filling of the lattices between the DOM and JS which makes it more appealing to use.


Features :
  • Dynamic and reusable UI components.
  • Support basic Python data types such as lists, Dictionary, Tuple, String.
  • PyJs handles all cross-browser issues for the developer.
  • PyJs is open source and can be freely accessed.
 7. Skulpt




(Python Support : 2.6, 2.7, 3.3)


Skulpt is a compiler that compiles the Python code such that the code can be directly executed on the browser.

Skulpt is licensed under:

  • MIT license.
  • And for compatibility with Python, the PSFLv2.

Skulpt is also known for as JavaScript implementation of Python 2.x

Due to execution of Python code on the client side Skulpt makes the best entry of Python to the huge base of web development without any plugin and extensions.


Features :
  •  Skulpt compiles the Python to JavaScript and then runs the JavaScript.
  • It Python programs completely in the browser.
  • It decreases the load time on the client side.


Conclusion :

Hence there are many compilers for Python which compile Python to other languages. Also one should choose the compiler based on their requirements such as

  • If you need compiler for Python to JavaScipt one you suggest you to go with Brython as it support recent versions of Python.
  • If you need Python to C compiler we suggest you to go with CPython as offers more functionality and efficiency.

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