When I was writing a search component today, I wanted to select the search field based on whether the search was for all letters. So there is the following code: if q.isalpha(): query = query.filter(User.username.ilike(like_str))else: query = query.filter(User.realname.ilike(like_str)) But I found that even if there is Chinese is also judged as isalpha is true. The test found that the method isalpha in str is unreliable in judging Unicode. The default decoding of parameters in Flask is UTF-8. So you need to use encode('utf-8') to re-encode it and then the function isal
1. isalpha in Python 2.7 does not support unicode
#Introduction: When writing a search component today, I want to select the search field based on whether the search is for all letters. So there is the following code: if q.isalpha(): query = query.filter(User.username.ilike(like_str))else: query = query.filter(User.realname.ilike(like_str))
2. Method in python to check whether a string consists of letters: string.isalpha()
Introduction: python string.isalpha() method The python string isalpha() method checks whether there is a string consisting of only alphabetic characters.
3. Understanding string processing based on Python learning
Introduction: Python string processing String input: my_string = raw_input ("please input a word:") String judgment: (1) Determine whether it is a pure letter my_string.isalpha() string search matching: (1) rere regular expression example 1: ^[\w_]*$First\ w means to match any word character including underscores, equivalent to '[A-Za-z0-9_]'. Then I followed _. Look at the * sign again: match the previous subexpression
4. Usage of the isalpha() method for string processing in Python
Introduction: This article mainly introduces the use of isalpha() method for processing strings in Python. It is the basic knowledge for introductory learning of Python. Friends in need can refer to it
[Related Q&A recommendations]:
python - Why does calling isalpha() or isalnum() return True for unicode Chinese strings?
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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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