Summary of 8 Variant Programming Languages of Python-Python Tutorial-php.cn

Home

Backend Development

Python Tutorial

Summary of 8 Variant Programming Languages of Python

Y2J

Apr 17, 2017 pm 06:00 PM

Python is really very powerful. It has many followers, so many developers rely on it to develop various variant versions. Here are a few:

1. PyPy

PyPy is a Python interpreter implemented in Python. PyPy is more flexible than CPython and can be easily implemented by being easier to use and experiment with to develop implementation methods for specific functions in different situations. The goal of this project is to make PyPy more easily adaptable to various projects and tailorable than Python implemented in C.

2. IronPython

IronPython is the implementation of Python on the .NET platform. Initiated by Jim Hugunin of Microsoft, it is an open source project based on Microsoft's DLR engine

3. Python for .NET

Python for .NET is a tool that can make Python programmers almost useless. Seamlessly integrates the .NET Common Language Environment CLR and provides .NET developers with a powerful application scripting tool. With this project you can write your entire application entirely in Python in .NET, using .NET services and components.

4. Cython

To be precise, Cython is a separate language, specially used to write extension libraries for import in Python. In fact, the syntax of Cython is basically the same as that of Python, and Cython has a special "compiler" that first converts the Cython code into C (automatically adding a lot of C-Python API), and then uses C The compiler compiles the final Python callable module.

5. Jython

Jython is a pure Java implementation of Python. It seamlessly combines Java classes with Python, allowing users to write software that runs on the Java virtual machine in Python language syntax. Its characteristics are: Compared with similar Java programs, Jython greatly reduces the amount of programming code. Jython has both an interpreter and a compiler, making it possible to test program code without compiling it.

6. Stackless Python

Stackless Python is an enhanced version of Python Programming language that allows programmers to benefit from thread-based programming without half the threads performance and complexity issues. Its biggest feature is micro-threading, which can avoid the excessive overhead caused by using operating system threads.

7. mypy

The mypy programming language is an experimental Python variant designed to merge the advantages of dynamic typing and static typing. Our goal is to provide an impressive, powerful and convenient Python that provides compile-time type checking and efficient compilation to native code without the need for some heavyweight virtual machine.

8. RPython

rPython is a subset of Python. Although rPython is not a complete Python, this Python implementation written in rPython can interpret the complete Python language.

The above is the detailed content of Summary of 8 Variant Programming Languages of Python. For more information, please follow other related articles on the PHP Chinese website!

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

The Main Purpose of Python: Flexibility and Ease of UseApr 17, 2025 am 12:14 AM

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python: The Power of Versatile ProgrammingApr 17, 2025 am 12:09 AM

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Learning Python in 2 Hours a Day: A Practical GuideApr 17, 2025 am 12:05 AM

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

Python vs. C : Pros and Cons for DevelopersApr 17, 2025 am 12:04 AM

Python is suitable for rapid development and data processing, while C is suitable for high performance and underlying control. 1) Python is easy to use, with concise syntax, and is suitable for data science and web development. 2) C has high performance and accurate control, and is often used in gaming and system programming.

Python: Time Commitment and Learning PaceApr 17, 2025 am 12:03 AM

The time required to learn Python varies from person to person, mainly influenced by previous programming experience, learning motivation, learning resources and methods, and learning rhythm. Set realistic learning goals and learn best through practical projects.

Python: Automation, Scripting, and Task ManagementApr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python and Time: Making the Most of Your Study TimeApr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python: Games, GUIs, and MoreApr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

See all articles