What can the python language do?
1. Web development
The most popular Python web framework Django, Tornado framework that supports asynchronous high concurrency, short and concise flask, bottle, Django’s official slogan defines Django as the framework for perfectionist with deadlines (roughly a high-efficiency web framework developed for perfectionists)
2. Network programming
Supports the high-concurrency Twisted network framework, and the asyncio introduced in py3 makes asynchronous Programming has become very simple
3. Crawler development
In the field of crawlers, Python is almost dominant, Scrapy/Request/BeautifuSoap/urllib, etc. You can crawl whatever you want
4. Cloud Computing Development
Currently the most popular and well-known cloud computing framework is OpenStack. Python’s current popularity is largely due to the explosion of the cloud computing market in recent years
5. Artificial Intelligence
MASA and Google used Python extensively in the early days. Why did Python accumulate a rich scientific computing library? When the AI era came, Python stood out from many programming languages. Various artificial intelligence algorithms were written based on Python. After PyTorch, Python’s position as the leading language in the AI era has been basically established!
6. Automated operation and maintenance
Ask every operation and maintenance personnel in China what language they must know What is it? 10 people will give you the same answer in detail. Its name is Python
7. Financial analysis
is used by many analysis programs and high-frequency trading software used by financial companies. Python, currently, Python is the most used language in the fields of financial analysis and quantitative trading
8. Scientific operations
Since 1997, NASA has been using Python extensively to perform various complex operations. Scientific computing, with the development of many program libraries such as NumPy, SciPy, Matplotlib, Enthought libraries, etc., Python is becoming more and more suitable for scientific computing and drawing high-quality 2D and 3D images. Compared with Matlab, the most popular commercial software in the field of scientific computing, Python is a general programming language and has a wider range of applications than the scripting language used by Matlab
9. Game development
Python also has many applications in online game development. Compared with Lua or C, Python has higher-level abstraction capabilities than Lua and can describe game business logic with less code. Compared with Lua, Python is more suitable as a Host language, that is, the entry point of the program is in Python That end would be better, and then use C/C to write some extensions when necessary. Python is very suitable for writing projects with more than 10,000 lines of code, and can well control the scale of online game projects within 100,000 lines of code.
10. Desktop software
Although people rarely use desktop software, Python is also very powerful in graphical interface development. You can use the tkinter/PyQT framework to develop various desktop software!
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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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