There are many string connection methods in python. I am writing code today. Let me summarize by the way:
The most original string connection method: str1 + str2
python’s new string connection syntax: str1, str2
Strange string methods: str1 str2
% Connection string: 'name:%s; sex: ' % ('tom', 'male')
String list connection: str.join(some_list)
The first type, presumably as long as you have programming Experienced people probably know that you can directly use "+" to connect two strings:
'Jim' + 'Green' = 'JimGreen'
The second one is more special, if the two strings use "comma" separated, then the two strings will be concatenated, but there will be an extra space between the strings:
'Jim', 'Green' = 'Jim Green'
The third one is also unique to python, Just put two strings together, with or without whitespace: the two strings are automatically concatenated into one string:
'Jim''Green' = 'JimGreen'
'Jim' 'Green' = 'JimGreen '
The fourth function is more powerful and draws on the function of the printf function in C language. If you have a foundation in C language, just read the documentation. This method uses the symbol "%" to connect a string and a group of variables. The special marks in the string will be automatically replaced with the variables in the variable group on the right:
'%s, %s' % ('Jim', 'Green') = 'Jim, Green'
The fifth technique is to use the string function join. This function accepts a list, and then uses a string to join each element in the list:
var_list = ['tom', 'david', 'john']
a = '###'
a.join(var_list) = 'tom###david###john'
In fact, there is another string connection method in python, but it is not used much, which is string multiplication, such as:
a = 'abc'
a * 3 = 'abcabcabc'

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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