1. Basic data types
Integer: int
String: str (note: t equals a tab key)
Boolean value: bool
List: list (a collection of elements)
Use []
for lists
Originator: tuple
Yuanzu uses ()
Dictionary: dict
Note: All data types exist in the corresponding class column
2. List all data types:
Basic operations:
•Index
•Slice
•Add
•Delete
•Length
•Slice
•Loop
• Contains
list class list(object): """ list() -> new empty list list(iterable) -> new list initialized from iterable's items """ def append(self, p_object): # real signature unknown; restored from __doc__ """ L.append(object) -> None -- append object to end """ (L.append(对象)- >——没有一个对象附加到结束) pass def clear(self): # real signature unknown; restored from __doc__ """ L.clear() -> None -- remove all items from L """ (L.clear()- >没有,把所有项目从L) pass def copy(self): # real signature unknown; restored from __doc__ """ L.copy() -> list -- a shallow copy of L """ (L.copy()- >列表- L的浅拷贝) return [] def count(self, value): # real signature unknown; restored from __doc__ """ L.count(value) -> integer -- return number of occurrences of value """ (L.count(价值)- >整数,返回值的出现次数) return 0 def extend(self, iterable): # real signature unknown; restored from __doc__ """ L.extend(iterable) -> None -- extend list by appending elements from the iterable """ (L.extend(iterable)- >没有——从iterable扩展列表通过添加元) pass def index(self, value, start=None, stop=None): # real signature unknown; restored from __doc__ """ L.index(value, [start, [stop]]) -> integer -- return first index of value. Raises ValueError if the value is not present. (l指数(价值,[开始,[不要]])- >整数,返回第一索引值。提出了ValueError如果不存在的价值。) """ return 0 def insert(self, index, p_object): # real signature unknown; restored from __doc__ """ L.insert(index, object) -- insert object before index """ (l插入(指数(对象)——前插入对象索引) pass def pop(self, index=None): # real signature unknown; restored from __doc__ """ L.pop([index]) -> item -- remove and return item at index (default last). Raises IndexError if list is empty or index is out of range. (L.pop((指数))- >项目——删除并返回项指数(默认)。提出了IndexError如果列表为空或索引的范围。) """ pass def remove(self, value): # real signature unknown; restored from __doc__ """ L.remove(value) -> None -- remove first occurrence of value. Raises ValueError if the value is not present. """ (L.remove(价值)- >没有,删除第一次出现的值。提出了ValueError如果不存在的价值。) pass def reverse(self): # real signature unknown; restored from __doc__ """ L.reverse() -- reverse *IN PLACE* """ pass def sort(self, key=None, reverse=False): # real signature unknown; restored from __doc__ """ L.sort(key=None, reverse=False) -> None -- stable sort *IN PLACE* """ pass def __add__(self, *args, **kwargs): # real signature unknown """ Return self+value. """ pass def __contains__(self, *args, **kwargs): # real signature unknown """ Return key in self. """ pass def __delitem__(self, *args, **kwargs): # real signature unknown """ Delete self[key]. """ pass def __eq__(self, *args, **kwargs): # real signature unknown """ Return self==value. """ pass def __getattribute__(self, *args, **kwargs): # real signature unknown """ Return getattr(self, name). """ pass def __getitem__(self, y): # real signature unknown; restored from __doc__ """ x.__getitem__(y) <==> x[y] """ pass def __ge__(self, *args, **kwargs): # real signature unknown """ Return self>=value. """ pass def __gt__(self, *args, **kwargs): # real signature unknown """ Return self>value. """ pass def __iadd__(self, *args, **kwargs): # real signature unknown """ Implement self+=value. """ pass def __imul__(self, *args, **kwargs): # real signature unknown """ Implement self*=value. """ pass def __init__(self, seq=()): # known special case of list.__init__ """ list() -> new empty list list(iterable) -> new list initialized from iterable's items # (copied from class doc) """ pass def __iter__(self, *args, **kwargs): # real signature unknown """ Implement iter(self). """ pass def __len__(self, *args, **kwargs): # real signature unknown """ Return len(self). """ pass def __le__(self, *args, **kwargs): # real signature unknown """ Return self<=value. """ pass def __lt__(self, *args, **kwargs): # real signature unknown """ Return self<value. """ pass def __mul__(self, *args, **kwargs): # real signature unknown """ Return self*value.n """ pass @staticmethod # known case of __new__ def __new__(*args, **kwargs): # real signature unknown """ Create and return a new object. See help(type) for accurate signature. """ pass def __ne__(self, *args, **kwargs): # real signature unknown """ Return self!=value. """ pass def __repr__(self, *args, **kwargs): # real signature unknown """ Return repr(self). """ pass def __reversed__(self): # real signature unknown; restored from __doc__ """ L.__reversed__() -- return a reverse iterator over the list """ pass def __rmul__(self, *args, **kwargs): # real signature unknown """ Return self*value. """ pass def __setitem__(self, *args, **kwargs): # real signature unknown """ Set self[key] to value. """ pass def __sizeof__(self): # real signature unknown; restored from __doc__ """ L.__sizeof__() -- size of L in memory, in bytes """ pass __hash__ = None
3. Examples of all list data types
#!/usr/bin/env python # -*- coding:utf-8 -*- #append追加 name_list = ["zhangyanlin","suoning","nick"] name_list.append('zhang') print(name_list) #count制定字符出现几次 name_list = ["zhangyanlin","suoning","nick"] name_list.append('zhang') name_list.append('zhang') name_list.append('zhang') print(name_list.count('zhang')) #extend可扩展,批量往里加数据 name_list = ["zhangyanlin","suoning","nick"] name = ["aylin","zhang","yan","lin"] name_list.extend(name) print(name_list) #index找到字符所在的位置 name_list = ["zhangyanlin","suoning","nick"] print(name_list.index('nick')) #insert插入,往索引里面插入值 name_list = ["zhangyanlin","suoning","nick"] name_list.insert(1,"zhang") print(name_list) #pop在原列表中移除掉最后一个元素,并赋值给另一个变量 name_list = ["zhangyanlin","suoning","nick"] name = name_list.pop() print(name) #remove移除,只移除从左边找到的第一个 name_list = ["zhangyanlin","suoning","nick"] name_list.remove('nick') print(name_list) #reverse反转 name_list = ["zhangyanlin","suoning","nick"] name_list.reverse() print(name_list) #del删除其中元素,删除1到3之间的 name_list = ["zhangyanlin","suoning","nick"] del name_list[1:3] print(name_list)
4. Index
name_list = ["zhangyanlin","suoning""aylin""nick"] print(name_list[0])
5. Slicing
name_list = ["zhangyanlin","suoning""aylin""nick"] print(name_list[0:2])
6. Total length len
name_list = ["zhangyanlin","suoning""aylin""nick"] print(name_list[1:len(name_list)])
7. for loop
name_list = ["zhangyanlin","suoning""aylin""nick"] for i in name_list: print(i)
The above is the complete list of in-depth understanding of Python data types brought by the editor. I hope you will support Script Home~

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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