How can a complete beginner learn Python? Today, I will share some useful editors for Python.
Future Development of Python One characteristic of the Python language is that it does not have any particularly strong features, but it can be used in a wide range of applications with astonishing efficiency. Python is widely used, and currently, it seems that not many people in China are learning Python, yet the demand and salaries for Python developers are indeed very high. Many large internet companies are hiring Python developers at high salaries, such as Tencent, Alibaba, Baidu, Sohu, Microsoft, Google, and Huawei.
Python Salaries Currently, the salary for Python developers is generally above 15k, and the growth rate is inexplicably high, reaching up to 50%. In contrast, the salary cap for Java is around 30,000, while Python can reach as high as 50k, due to the promising future development prospects of the Python language.
Python is a beginner-friendly programming language, a multi-purpose, interpreted, and object-oriented high-level language.
It has a very small assembly size, making it easy to learn, read, and maintain. Its interpreter can be used on various operating systems, including Windows, Linux, and Mac OS. Its portability and scalability make it even easier to apply.
Python libraries can be used for the following purposes:
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Web Development
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Data Science
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Machine Learning
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Multimedia
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Software Development
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Web frameworks like Django
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GUI Applications
Most geeks consider Python to be an interpreted language, but it also has a compilation process.
The compilation part is completed during code execution and is then discarded. The compiled content is converted into bytecode, which is further extended to the Python virtual machine through the machine and operating system.
This article focuses on the 11 best Python compilers and interpreters for Python programmers.
Best Python Compilers and Interpreters
1. Brython
Brython is a popular Python compiler that converts Python code into JavaScript. It supports all web browsers, including a mobile web browser.
It also supports the latest HTML5/CSS3 specifications and can work with popular CSS frameworks like Bootstrap3 and LESS.
Website: https://brython.info
2. Pyjs
Pyjs is a rich Internet application framework and a lightweight Python compiler that can execute Python scripts directly from the web browser and from the browser’s JS console.
It is a compiler from Python to JavaScript, allowing code to run in web browsers. It comes with an Ajax framework and Widget Set API.
Website: http://pyjs.org
3. WinPython
It is designed for the Windows operating system. It has some features of CPython and comes pre-installed with popular libraries for data science and machine learning, such as Numpy, Pandas, and Scipy.
It includes a C/C++ compiler, which is rarely used. Besides that, it only has the Python compiler without other packages.
Website: https://winpython.github.io
4. Skulpt
Skulpt is a browser-based 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 requiring additional plugins, processing, or server support.
The Skulpt interpreter executes code stored in .py files on the website through import.
Website: https://skulpt.org
5. Shed Skin
This compiler compiles Python standard library modules into C++, converting statically typed Python programs into highly optimized C++ code.
By re-implementing its built-in Python data types as its own class set (which can be efficiently implemented in C++), performance can be improved.
Website: https://en.wikipedia.org/wiki/Shed_Skin
6. Active Python
This is a Python distribution for Windows, Linux, and Mac OS, with a free community version.
It supports installation on many platforms, including some that are not supported by Python-like AIX. It provides more compatibility than Python.
Website: https://www.activestate.com/products/activepython
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 for matrix and vector operations.
Transcrypt can also run on Node.js. Its layered modules, multiple inheritance, and native classes add many features.
Website: https://www.activestate.com/products/activepython
8. Nutika
This is a source-to-source Python compiler that can convert Python source code into C/C++ executable code. It utilizes many Python libraries and extension modules.
It comes with Anaconda and can be used to create data science and machine learning projects.
Website: https://www.activestate.com/products/activepython
9. Jython
It is written in Java and can be executed on any platform that runs the JVM. Jython compiles Python code into Java bytecode, enabling cross-platform compatibility.
It can be used to create solutions for Servlets, Swing, SWT, and AWT packages. Jython uses a global interpreter lock (GIL) similar to CPython.
Additionally, you can extend Java classes with Python code.
Website: https://www.jython.org
10. CPython
CPython is the default and most widely used Python compiler. It is written in C and uses a global interpreter lock (GIL), which makes communication between concurrent CPython processes difficult.
The compilation steps in CPython include: decoding, tokenization, parsing, abstract syntax tree, and compilation.
Website: https://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 has cross-platform compatibility.
It also includes a standard library and various modules, mainly used for implementing user interface libraries for the .NET framework.
Website: https://ironpython.net
Conclusion
Python is a development language that provides possibilities for many implementations, such as Python to Java, Python to JavaScript, or others.
These Python compilers help us understand how versatile it is.
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