


Detailed explanation of the usage and differences between lists and tuples in Python
1. The difference between the two
List:
1. You can add list content append
2. You can count the number of times a certain list segment appears in the entire list count
3. You can insert a string and split each letter of the entire string as a list segment and append it to the list extedn
4. You can query the position index of a certain list segment in the entire list
5. You can insert a list segment at the specified position insert
6. You can delete the last list segment of the list pop
7. You can delete a list segment in the specified list remove
8. You can sort forward and reverse reverse
9. You can sort by letters or numbers sort
10. Use square brackets "[]" when defining a list
Note: In the list, if two list segments are the same, whether using index or remove, the top list segment will be counted
Tuple:
1. You can count the number of times a certain tuple segment appears in the entire tuple count
2. You can query the tuple number index of a certain tuple segment in the entire tuple
3. Use parentheses "()" when defining tuples
2. How to use the two
List
#定义列表 >>> name_list = ['sean','tom','jack','Angelia','Daisy','jack'] #查看定义的列表 >>> name_list ['sean', 'tom', 'jack', 'Angelia', 'Daisy', 'jack'] #增加david列表段 >>> name_list.append('david') >>> name_list ['sean', 'tom', 'jack', 'Angelia', 'Daisy', 'jack', 'david'] #统计david列表段出现次数 >>> name_list.count('david') 1 >>> name_list.count('jack') 2 #使用extend向列表中增加列表段 >>> name_list.extend('Hello,My name is sean') >>> name_list ['sean', 'tom', 'jack', 'Angelia', 'Daisy', 'jack', 'david', 'H', 'e', 'l', 'l', 'o', ',', 'M', 'y', ' ', 'n', 'a', 'm', 'e', ' ', 'i', 's', ' ', 's', 'e', 'a', 'n'] #查看列表段所在的索引号,注意这里统计的jack为第一个jack id号 >>> name_list.index('jack') 2 >>> name_list.index('tom') 1 #向索引号为2的地方插入Adam >>> name_list.insert(2,'Adam') >>> name_list ['sean', 'tom', 'Adam', 'jack', 'Angelia', 'Daisy', 'jack', 'david', 'H', 'e', 'l', 'l', 'o', ',', 'M', 'y', ' ', 'n', 'a', 'm', 'e', ' ', 'i', 's', ' ', 's', 'e', 'a', 'n'] #删除最后一个列表段 >>> name_list.pop() 'n' >>> name_list ['sean', 'tom', 'Adam', 'jack', 'Angelia', 'Daisy', 'jack', 'david', 'H', 'e', 'l', 'l', 'o', ',', 'M', 'y', ' ', 'n', 'a', 'm', 'e', ' ', 'i', 's', ' ', 's', 'e', 'a'] #删除指定列表段,注意这里删除的是第一个jack >>> name_list.remove('jack') >>> name_list ['sean', 'tom', 'Adam', 'Angelia', 'Daisy', 'jack', 'david', 'H', 'e', 'l', 'l', 'o', ',', 'M', 'y', ' ', 'n', 'a', 'm', 'e', ' ', 'i', 's', ' ', 's', 'e', 'a'] #对整个列表进行倒序 >>> name_list.reverse() >>> name_list ['a', 'e', 's', ' ', 's', 'i', ' ', 'e', 'm', 'a', 'n', ' ', 'y', 'M', ',', 'o', 'l', 'l', 'e', 'H', 'david', 'jack', 'Daisy', 'Angelia', 'Adam', 'tom', 'sean'] #对整个列表进行倒序 >>> name_list.reverse() >>> name_list ['sean', 'tom', 'Adam', 'Angelia', 'Daisy', 'jack', 'david', 'H', 'e', 'l', 'l', 'o', ',', 'M', 'y', ' ', 'n', 'a', 'm', 'e', ' ', 'i', 's', ' ', 's', 'e', 'a'] #对整个列表进行列表段的首字母进行排序 >>> name_list.sort() >>> name_list [' ', ' ', ' ', ',', 'Adam', 'Angelia', 'Daisy', 'H', 'M', 'a', 'a', 'david', 'e', 'e', 'e', 'i', 'jack', 'l', 'l', 'm', 'n', 'o', 's', 's', 'sean', 'tom', 'y'] >>>
tuple
#定义元组name_tuple >>> name_tuple = ('xiaoming','xiaohong','xiaoli','xiaozhang','xiaoming') >>> name_tuple ('xiaoming', 'xiaohong', 'xiaoli', 'xiaozhang', 'xiaoming') #统计xiaoming、xiaohong在元组内出现的次数 >>> name_tuple.count('xiaoming') 2 >>> name_tuple.count('xiaohong') 1 #查询xiaoming、xiaohong、xiaozhang在元组内的id号 >>> name_tuple.index('xiaoming') 0 >>> name_tuple.index('xiaohong') 1 >>> name_tuple.index('xiaozhang') 3 >>> #尝试增加一个元组单元 >>> name_tuple.append('xiaowang') Traceback (most recent call last): File "<pyshell#49>", line 1, in <module> name_tuple.append('xiaowang') AttributeError: 'tuple' object has no attribute 'append' >>>
The elements of a tuple are immutable, and the elements of a tuple are mutable
>>> tuple_A = (1,2,{'k1':'v1'}) >>> for i in tuple_A: ... print i ... 1 2 {'k1': 'v1'} #更改元素 >>> tuple_A[2]['k1'] = 'v2' >>> for i in tuple_A: ... print i ... 1 2 {'k1': 'v2'} >>>

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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