11 Best Python Compilers and Interpreters
Python is a programming language for beginners. It is a high-level language, very flexible, interpreted and object-oriented language. It's a very easy language to learn, read and maintain, and write programs very concisely. Python interpreters are available for various operating systems such as Windows, Linux, and Mac OS. Other features that make it even more useful include its portability and extensibility.
Python libraries can be used for the following purposes:
- web development
- data science
- machine learning
- multimedia
- software development
- Web frameworks such as Django
- GUI application
Most technologists think of Python as an interpreted language , but it also started out as a compiled language. The compilation part is done when the code is executed and deleted . Then convert it to bytecode. Then passed to the Python virtual machine through the machine and operating system . This article highlights the 11 best Python compilers and interpreters for Python programmers.
1. Britons
Brython is a popular Python compiler that converts Python to Javascript code. It provides support for all web browsers including mobile web browsers.
It also comes with the latest specifications of Html5/CSS3. It can use popular CSS frameworks such as BootStrap3 and LESS.
2. Pyys
Pyjs is a rich internet application framework. It is also a lightweight Python compiler that can be used directly from a web browser using Python scripts, and can also execute programs from the web browser JS console.
It's a Python to Javascript compiler that makes your code run on web browsers. It comes with Ajax framework and Widget Set API.
3. WinPython
WinPython is designed for the Windows operating system. It has several features over CPython. It comes with prepackaged popular libraries for data science and machine learning such as Numpy, Pandas, and Scipy.
It comes with C and C++ compilers, which are not needed in most cases. Other than that, It's zero package that only comes with the Python compiler.
4. Sculpture
Skulpt is an in-browser implementation of Python. It can also be added to Html code.
This Python compiler is written in Javascript and can run code on the client side without additional plugins, processing or server support.
The Skulpt interpreter will execute the python code saved in the website's .py file by importing that code.
5. Shed Skin
The Shed Skin compiler uses standard library modules to compile Python code to C++. It converts a statically typed Python program into optimized C++ code with many restrictions.
It can improve your performance by again implementing its built-in Python data types into its own set of classes that are efficiently implemented in C++.
6. Active Python
This is a Python distribution for Windows, Linux, and Mac Os with a free community edition.
It supports installing many platforms, some of which are not even supported by the Python-like AIX platform. It provides more compatibility than Python.
7. Transcrypt
It is one of the popular Python compilers, which compiles Python code into simple and readable Java code. It is a lightweight Python compiler that supports slicing using matrix and vector operations.
Transcrypt also works on Node.js. Hierarchical modules, multiple inheritance, and local classes add more functionality to its list.
8. Smart
Nutika is a source-to-source Python compiler that converts Python source code into C/C++ executable code. It uses many Python libraries and extension modules.
It comes with Anaconda, which can be used to create data science and machine learning projects.
9. Jython
It is written in Java and can be executed on any platform running a JVM. Jython compiles Python code into Java bytecode, making it cross-platform.
It can be used to create solutions for Servelets, Swing, SWT and AWT packages. Jython uses the Global Interpreter Lock (GIL) like CPython. Additionally, Java classes can be extended to Python code.
10. CPython
CPython is the default and most widely used Python compiler . It is written in C and uses the GIL (Global Interpreter Lock), which makes communication between concurrent CPython processes difficult.
Compilation steps in CPython include: decoding, tokenization, parsing, abstract syntax tree, and compilation.
11. IronPython
The IronPython version of the Python compiler is implemented on top of Microsoft's .Net Framework and Mono.
It also provides dynamic compilation and an interactive console. It makes installation very easy and has cross-platform compatibility.
It also has standard library and different modules mainly used to implement user interface library of .Net framework.
in conclusion
Python is a development language that offers many implementation possibilities, such as Python to Java, Python to Javascript or others. These compilers for Python help us understand how versatile it is.
Original link
https://morioh.com/a/765b19f066a4/best-11-python-compilers-and-interpreters