


An article to help you understand the basic string knowledge of Python
Why do we need strings?
When calling a browser to log in to some websites, you need to enter a password. After the browser sends the password to the server, the server will verify the password. The verification process is to compare the previous The saved password is compared with the password passed this time. If they are equal, the password is considered correct, otherwise it is considered incorrect; since the server wants to store these passwords, it can use a database (such as MySQL) to achieve this.
Of course, for the sake of simplicity, we can first find a variable to store the password; so how to store passwords with letters? This is where strings are used.
1. The format of strings in Python
is defined as follows Variable a stores a value of numeric type.
a = 100
The variable b defined below stores a string type value.
b = "hello itcast.cn" 或者 b = 'hello itcast.cn'
Small summary:
Double quotes or single The data in quotation marks is the string
二、字符串输出
例:
name = 'ming' position = '讲师' address = '中山市平区建材城西路金燕龙办公楼1层' print('--------------------------------------------------') print("姓名:%s"%name) print("职位:%s"%position) print("公司地址:%s"%address) print('--------------------------------------------------')
结果:
-------------------------------------------------- 姓名:ming 职位:讲师 公司地址:中山市昌平区建材城西路金燕龙办公楼1层 --------------------------------------------------
三、字符串输入
input通过它能够完成从键盘获取数据,然后保存到指定的变量中;
注意:input获取的数据,都以字符串的方式进行保存,即使输入的是数字,那么也是以字符串方式保存。
例:
userName = input('请输入用户名:') print("用户名为:%s"%userName) password = input('请输入密码:') print("密码为:%s"%password)
结果:(根据输入的不同结果也不同)
4. Subscripts and slicing
1. Subscript index
So-called"Subscript"
is the number, just like the number of the storage cabinet in the supermarket. You can find the corresponding storage space through this number.
"Subscript" in life
Supermarket locker
The use of "subscript" in strings
#Lists and tuples support subscript indexing for easy understanding. Strings are actually arrays of characters. So subscript indexing is also supported.
If there is a string: name = 'abcdef'
, the actual storage in memory is as follows:
如果想取出部分字符,那么可以通过下标
的方法,(注意Python中下标从 0 开始)
name = 'abcdef' print(name[0]) print(name[1]) print(name[2])
运行结果:
2. 切片的概念:
切片是指对操作的对象截取其中一部分的操作。字符串、列表、元组都支持切片操作。
3. 切片的语法:[起始:结束:步长]
注意:选取的区间属于左闭右开型,即从"起始"位开始,到"结束"位的前一位结束(不包含结束位本身)。
我们以字符串为例讲解。
如果取出一部分,则可以在中括号[]中,使用 :
例:
name = 'abcdef' print(name[0:3]) # 取 下标0~2 的字符
运行结果 :
例:
name = 'abcdef' print(name[0:5]) # 取 下标为0~4 的字符
运行结果:
例:
name = 'abcdef' print(name[3:5]) # 取 下标为3、4 的字符
运行结果:
例:
name = 'abcdef' print(name[2:]) # 取 下标为2开始到最后的字符
运行结果:
例:
name = 'abcdef' print(name[1:-1]) # 取 下标为1开始 到 最后第2个 之间的字符
运行结果:
>>> a = "abcdef" >>> a[:3] #运行结果 'abc' >>> a[::2] #运行结果 'ace' >>> a[5:1:2] '' #运行结果 >>> a[1:5:2] 'bd' #运行结果 >>> a[::-2] 'fdb' #运行结果 >>> a[5:1:-2] 'fd' #运行结果
5. Summary
This article explains the basics of Python (strings) in detail. Introduced operations on strings and slicing. Subscript index. and provide solutions to problems encountered in actual operations. I hope it can help you learn Python better.
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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