Best Python Interpreters of 2021

By | February 13, 2021
Python Interpreter

There is no doubt that Python is one of the most popular programming languages. In the past few years, it has gained rapid popularity among the global developer community. CPython is the default Python interpreter, nonetheless, other options are available too.

Python is a high-level programming language, which means its code is written in a human-readable form. Still, the computer does not understand high-level language, it requires a translator to convert the high-level code to machine code so that the OS can execute the same. That’s where an interpreter comes in.

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Python uses an interpreter as a translation tool for the computer to translate and execute the high-level code. When we install Python on our system, we install the Python interpreter making it easier to read and execute Python.

In this article, we have shortlisted the 5 best Python interpreters that are ideal to use with the high-level programming language. But before that, let’s talk about an interpreter.

What is an Interpreter?

An interpreter is a computer program that directly executes the programming code without changing it into machine language or bytecode. Unlike a compiler, the interpreter does not generate a separate file for the byte code, instead, it directly executes the source code.

5 Best Python Interpreter (Python Implementation) Picks

The original Python implementation, which is widely used by the Python community and which is present at the official website of python is implemented using the C programming language. That’s why we call it CPython.

Like CPython, there are many other implementations – interpreters – available for the Python programming language. Obviously, not all of them are great to use. So, here is our list of the top 5 Python Interpreters for 2021 that you can explore and use to extend your python knowledge:

  1. CPython
  2. PyPy
  3. Stackless Python
  4. Jython
  5. IronPython

Let’s march ahead and discuss each one of them in detail:

1. CPython (Default Python Interpreter)

Cpython

GitHub Repo: https://github.com/python/cpython

Supported by Python 3.x Versions

It comes as the default interpreter of Python if you install Python from the official website. Doing so, you end up installing CPython as an interpreter.

CPython is written in C and Python programming languages, that’s how it gets its name. Also, if we look at the overall use of Python across the globe, CPython is the most widely-used implementation of the high-level programming language.

Developed by core developers and the Python community, CPython is supported by the Python Software Foundation. Although it is an interpreter, it also acts as a compiler. That’s because it performs some compilation operations, converts the Python code into bytecode, and then uses an interpreter to execute them. This all happens virtually, so, technically, it is not a compiler.

So, if you are writing a Python code that you want to share with the community as an open-source project, you must target CPython users because it has, obviously, the widest reach.

2. PyPy

PyPYURL: https://pypy.org/

Supported by Python 2.x and 3.x versions

PyPy is a powerful, fast, and fully compatible implementation of the Python programming languages. Also, it is considered the no.1 alternative for CPython.

As compared to CPython, PyPy is faster, because it is a just-in-time (JIT) compiler. CPython, on the contrary, is an interpreter. Any Python code can run on PyPy except for that which depends on the CPython extension.

Though PyPy is an interpreter, internally, it uses meta-tracing, a technique that transforms an interpreter into a just-in-time compiler.

It is very easy to work with interpreters, but they usually execute code slowly as compared to compilers. Hence, PyPy solves this problem for Python interpreters by transforming itself into a JIT compiler.

PyPy is highly-suggested for those who want to increase the performance of their program. What’s more, is that if you run your Python program using PyPy then it would consume less memory than CPython.

3. Stackless Python

Stackless PythonGitHub Repo: https://github.com/stackless-dev/stackless

Supported by Python 3.x versions

Stackless Python is another powerful python programming language interpreter. Like CPython, it is also written in C and Python.

As the name suggests, Stackless Python avoids C call stack. A call stack is a stack data structure that holds the subroutines and decides the control flow of the function calls. Though Stackless Python avoids stack calls, it uses the stack for the function calls.

In addition to other features, Stackless Python also adds support for coroutines, communication channels, and task serialization. Micro thread is the most important feature of Stackless Python. It allows avoiding much of the overhead associated with the usual operating system threads.

4. Jython

JPythonGitHub Repo: https://hg.python.org/jython

Supported by: Python 2.X versions

Jython is an implementation of the Python programming language that helps to run the Python code on the Java Platform.

As this tool was originally written in Java and Python, it was formally titled JPython, but in 1999, it was renamed Jython.

Initially introduced in 1997, the objective of Jython was to replace C with Java for performance-intensive code accessed by Python programs. Using Jython, you can import and use any Java and Python modules, except those implemented in the C language.

Jython can compile your Python source code into Java byte code so that the Java Virtual Machine (JVM) can execute it. So if you are using the Python2.x version and want to run your Python code in JVM, you need Jython.

5. IronPython

IronPythonURL: https://ironpython.net/

Supported by Python 2.x Versions

IronPython is an open-Source implementation of the Python Programming language, which is written in C#.

The only objective of IronPython is to facilitate seamless integration with the Microsoft .NET framework, such that a Python developer can use the .NET and Python Libraries altogether.

Implemented on top of the Dynamic Language Infrastructure (DLR) and Common Language Infrastructure, IronPython supports dynamic typing and dynamic method dispatch, among other things, for dynamic languages.

Despite the fact that IronPython is not in use that much, a group of volunteers still maintain this project at GitHub.

Which Python Interpreter and Version Should You Choose in 2021?

There are 2 core versions of Python:

  1. Python 2.x, and
  2. Python 3.x.

Initially, there was always confusion between Python2 and Python3, but now it’s clear that Python3 is the only python implementation to choose and learn. The community has announced that there would be no further updates on the Python2 versions and Python 3.x versions will be mainstream from now onwards.

So now, this is a no-brainer that the Python 3.x version is the ultimate choice you have. The Python developer community and CPython core developers community have retired Python 2 series. As there would be no updates provided for the Python 2.x versions, the best – and sole – choice you have is Python 3 for 2021.

Conclusion

Python interpreters are various implementations of Python for facilitating development in-line with different programming languages. CPython is the widely-used implementation/interpreter, offered by the official Python.

For a python developer, it is also very important to know the other implementations of Python. We hope this article on the best 5 Python interpreters have given you enough knowledge about different python interpreters, in particular, and the working of a python interpreter, in general.

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