What software can run and compile python? Here are 9 commonly used software:
1, Vim
Vim can be said to be the best IDE for Python. Vim is an advanced text editor designed to provide actual Unix editor 'Vi' functionality, supporting a more comprehensive feature set. Vim doesn't take much time to learn, and once you need a seamless programming experience, integrate Vim into your workflow.
2. Eclipse with PyDev
Eclipse is a very popular IDE and has a long history. Eclipse with Pydev allows developers to create useful and interactive web applications. PyDev is an IDE for Eclipse development of Python, supporting the development of Python, Jython and IronPython.
3. QPython
QPython is a Python script engine that can run on Android systems. It integrates the Python interpreter, Console, editor and SL4A library.
With it, you can still play python on Android devices.
4. Interactive Editor for Python
IEP is a cross-platform Python IDE designed to provide a simple and efficient Python development environment. It includes two important components: editor and Shell, and provides a plug-in tool set to improve developer efficiency from all aspects.
5. QPython
QPython is a Python script engine that can run on Android systems. It integrates the Python interpreter, Console, editor and SL4A library.
With it, you can still play python on Android devices.
6. PyCharm
PyCharm is a Python IDE developed by JetBrains. PyCharm is used for the functions that general IDEs have, such as debugging, syntax highlighting, project management, code jumps, smart prompts, auto-completion, unit testing, version control... In addition, PyCharm also provides some good functions for Django development also supports Google App Engine. What's even cooler is that PyCharm supports IronPython!
7, Sublime3
Sublime3 is an absolutely lightweight editor tool.
Code highlighting, syntax prompts, and gorgeous interface are simply pleasing to the eye. It also supports plug-in extensions. Writing code with Sublime3 is definitely a pleasure.
8. PyScripter
PyScripter is a free and open source Python integrated development environment (IDE).
9. The Eric Python IDE
Eric is a full-featured Python and Ruby editor and IDE written in Python. Eric integrates the highly flexible Scintilla editor control based on the cross-platform GUI toolkit Qt. Eric includes a plug-in system that allows easy functional extension of the IDE.
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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 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.

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 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.

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 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.

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 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.


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