本文实例汇总了python中常用检测字符串相关函数。分享给大家供大家参考。具体分析如下:
下面的python代码可用于检测字符串,包括是否全部为数字,是否包含数字,是否包含标题单词,是否包含大写字母,是否包含小写字母,是否包含空格,是否以指定的字符开头和结尾。
my_string = "Hello World" my_string.isalnum() #检测所有字符是否都是数字 my_string.isalpha() #检测字符串中的所有字符是否都是字母 my_string.isdigit() #检测字符串是否包含数字 my_string.istitle() #检测字符串是否包含标题单词 my_string.isupper() #检测字符串是否包含大写字母 my_string.islower() #检测字符串是否包含小写字母 my_string.isspace() #检测字符串是否包含空格 my_string.endswith('d') #检测字符串是否以字符d结束 my_string.startswith('H') #检测字符串是否以大写字母H开头
下面显示返回结果
my_string="Hello World" print my_string.isalnum() #False print my_string.isalpha() #False print my_string.isdigit() #False print my_string.istitle() #True print my_string.isupper() #False print my_string.islower() #False print my_string.isspace() #False print my_string.endswith('d') #True print my_string.startswith('H') #True
希望本文所述对大家Python程序设计有所帮助。

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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