Python 技能提升（一）

cpp 复制代码

```python

```

python 复制代码

# Add commit for you codes.
# The proper addition of comments is so beautiful.

from abc import abstractmethod


def add(a: int, b: int) -> int:
    # You can write some necessary notes here.
    # Such as the role of functions, the types and roles of parameters.
    #
    # But what we recommend more is to know the meaning of the name when naming.
    # So you don't have to write too many comments.
    #
    # It's important to remember to update your comments after you change the code.
    return a + b


# The following comments are superfluous.

a = 10  # Define a variable to be 10.
b = 90  # Define a variable to be 90.
res = add(a, b)  # Call the function and get the sum of the two.
print(res)  # Output calculation result

python 复制代码

def execute():
    """Execute the action to make the file saved."""
    pass


def test(url: str):
    """This is a test function for string document.
    Some description here.
    Another description here.

    Note: The key point to note.

    Args:
        url: A string where to fetch the content from

    Returns:
        A string with UTF-8 encoded content provided by the site.

    Raises:
        ValueError: if url argument is not of the expected type (str).
    """
    pass


# Output Documentation String
print(execute.__doc__)
print(test.__doc__)

python 复制代码

class Circle:
    def __init__(self, radius):
        self.radius = radius
        self.area = 0


def area(radius: float) -> Circle:
    """Compute area of a Circle with given radius."""
    pass


# Show the annotation content of the function
print(area.__annotations__)  # {'radius': <class 'float'>, 'return': <class '__main__.Circle'>}

python 复制代码

# Different methods in a class should be separated by empty lines.
# This is more aesthetically pleasing, as in the following example.

class People:
    def eat(self):
        pass

    def walk(self):
        pass

python 复制代码

# Appropriate blank lines make the code more elegant.

def calculate_the_number_of_rows_of_content_from(path: str) -> int:
    with open(path, 'r') as file:
        lines = file.readlines()

    count = 0
    for line in lines:
        if line.strip():
            count += 1

    return count

python 复制代码

# A line of code should be limited to 75 characters.
# If you exceed that amount, you can use the "\" symbol to wrap the line.
# Or, if you use the () symbol, you can simply wrap the line.

def some_too_long_method_for_demo_and_specified_usage(first_arg, second_arg, \
                                                      third_arg, fourth_arg):
    pass

too_long_variable_for_demo_in_scenario_one = 1
too_long_variable_for_demo_in_scenario_two = 2
too_long_variable_for_demo_in_scenario_three = 3

result = (too_long_variable_for_demo_in_scenario_one
          + too_long_variable_for_demo_in_scenario_two
          + too_long_variable_for_demo_in_scenario_three)

python 复制代码

# Tabs and 4 Spaces are not equal.
# We recommend using 4 Spaces for indentation instead of tabs.

num = int(input())
if num > 0:
    pass

python 复制代码

# Here is our recommended format.

mylist = [
    1, 2, 3,
    4, 5, 6
]

python 复制代码

def divide(x: int, y: int) -> float:
    assert y != 0, "错误：除数不能为零！"  # 此行代码大意是：我断言y一定不等于0，如果我预判错误，抛出错误字符串
    return x / y


print(divide(2, 0))

python 复制代码

for _ in range(5):  # We only care about cycling five times.
    print("Hello World")

my_dict = {'age': 18, 'name': 'Jack', 'hobby': 'code'}
for key, _ in my_dict.items():  # We are only concerned with its key.
    print(key)

Tree = ('green', 'plentiful', 'leaf')
color, _, _ = Tree  # We only care about color.

python 复制代码

class Weight:
    def __init__(self, weight: int):
        self.weight = weight

    def __repr__(self):
        return f'weight: {self.weight}'


weight_instances = [Weight(n) for n in range(10)]
print(weight_instances)

python 复制代码

nums = [1, 2, 3, 4, 5, 6, 7, 8, 9]

def is_odd_number(number: int) -> bool:  # 判断一个数是否为奇数
    return number % 2 == 1

def multiply_by_two(number: int) -> int:  # 将一个数乘以2
    return number * 2

odd_nums = filter(is_odd_number, nums)  # 过滤出奇数
map_nums = map(multiply_by_two, odd_nums)  # 将奇数乘以2

result = list(map_nums)
print(result)

# 上面代码可以用列表推导式完成

nums = [1, 2, 3, 4, 5, 6, 7, 8, 9]
res_nums = [res * 2 for res in nums if res % 2 == 1]
print(res_nums)

python 复制代码

my_list = ['a', 'b', 'c', 'd', 'e']

# 灵活切片法:

(ele_1, ele_2, remain) = my_list[0], my_list[1], my_list[2:]
print(remain)  # ['c', 'd', 'e']

(ele_1, middle, ele_2) = my_list[0], my_list[1:-1], my_list[-1]
print(middle)  # ['b', 'c', 'd']

(front, ele_1, ele_2) = my_list[0:-2], my_list[-2], my_list[-1]
print(front)  # ['a', 'b', 'c']


# 使用 * 号的方法

(ele_1, ele_2, *remain) = my_list
print(remain)  # ['c', 'd', 'e']

(ele_1, *middle, ele_2) = my_list
print(middle)  # ['b', 'c', 'd']

(*front, ele_1, ele_2) = my_list
print(front)  # ['a', 'b', 'c']

python 复制代码

import operator  # 内置模块


def calculator(var1, var2, symbol):
    operator_dict = {
        '+': operator.add,  # operator 模块里面的 加法函数
        '-': operator.sub,  # operator 模块里面的 减法函数
        '*': operator.mul,  # operator 模块里面的 乘法函数
        '/': operator.truediv  # operator 模块里面的 除法函数
    }
    return operator_dict.get(symbol)(var1, var2)  # 函数地址 + 括号 => 调用


print(calculator(10, 20, '*'))  # 200

python 复制代码

from dataclasses import dataclass


@dataclass
class People:
    pass

python 复制代码

from dataclasses import dataclass


@dataclass
class User:
    name: str
    email: str


list_of_users = [User('Bob', '168@qq.com'), User('Jack', '195@qq.com')]


# 普通的写法
emails_for_user = {}
for user in list_of_users:
    if user.email:
        emails_for_user[user.name] = user.email

print(emails_for_user)


# 字典推导的写法
emails_for_user = {user.name: user.email
                   for user in list_of_users if user.email}
print(emails_for_user)

python 复制代码

d = {'a': 400, 'c': 200, 'b': 300, 'd': 100}
print(d.items())  # dict_items([('a', 400), ('c', 200), ('b', 300), ('d', 100)])


# 按照键进行排序（升序）
d_list = sorted(d.items())
print(d_list)  # [('a', 400), ('b', 300), ('c', 200), ('d', 100)]


# 按照值进行排序（升序）
rule = lambda x: x[1]
d_list = sorted(d.items(), key=rule)  # 这里的key的意思不是字典中的key，而是sorted()函数的一个参数，用来说明以哪个东西进行排序
print(d_list)  # [('d', 100), ('c', 200), ('b', 300), ('a', 400)]


# 按照值进行排序（降序）
d_list = sorted(d.items(), key=lambda x: x[1], reverse=True)
print(d_list)  # [('a', 400), ('b', 300), ('c', 200), ('d', 100)]

python 复制代码

fruits_price_1 = {'apple': 10.5, 'orange': 8.8}
fruits_price_2 = {'banana': 2.8, 'orange': 9.5}
fruits_price_3 = {'watermelon': 5.5, 'orange': 10.8}

# 通过更新将字典组合起来
lastest_fruit_price = {}
lastest_fruit_price.update(fruits_price_1)
lastest_fruit_price.update(fruits_price_2)
lastest_fruit_price.update(fruits_price_3)
print(lastest_fruit_price)  # {'apple': 10.5, 'orange': 10.8, 'banana': 2.8, 'watermelon': 5.5}

# 使用星星符号**将字典组合起来（速度会更快，因为它背后做了优化）
lastest_fruit_price = {}
lastest_fruit_price = {
    **fruits_price_1,
    **fruits_price_2,
    **fruits_price_3
}
print(lastest_fruit_price)  # {'apple': 10.5, 'orange': 10.8, 'banana': 2.8, 'watermelon': 5.5}

python 复制代码

from pprint import pprint

books_map = {'name': 'Python编程指南', 'author': 'Jack',
             'stars': 5, 'release-time': '2024-5-20',
             'info': {'content': 'Guide to Programming ', 'user': 1000}}

pprint(books_map)

"""
运行结果：

{'author': 'Jack',
 'info': {'content': 'Guide to Programming ', 'user': 1000},
 'name': 'Python编程指南',
 'release-time': '2024-5-20',
 'stars': 5}
 
"""

python 复制代码

# 定义两个集合
programming_languages = {'C#', 'Go', 'Java', 'Python', 'Ruby'}
dynamic_languages = {'Ruby', 'Python', 'JavasScript', 'Lua'}

# 集合的
print(programming_languages | dynamic_languages)  # 并集
print(programming_languages & dynamic_languages)  # 交集
print(programming_languages - dynamic_languages)  # 差集1
print(dynamic_languages - programming_languages)  # 差集2
print(programming_languages ^ dynamic_languages)  # 对称差集

"""
运行结果：

{'Python', 'Lua', 'Ruby', 'Java', 'Go', 'C#', 'JavasScript'}
{'Ruby', 'Python'}
{'Go', 'C#', 'Java'}
{'JavasScript', 'Lua'}
{'Lua', 'Java', 'Go', 'C#', 'JavasScript'}

"""

# -------------- 案例演示 --------------

backend_developers = ['John', 'Rose', 'Jane', 'Steven']  # 前端人员
frontend_developers = ['Jack', 'Rose', 'Jane', 'Tom']  # 后端人员
full_stack_developers = []  # 全栈人员

# 筛选出全栈人员：

# 原始方法：
for developer in backend_developers:
    if developer in frontend_developers:
        full_stack_developers.append(developer)

# 利用集合的运算性质
full_stack_developers = list(set(backend_developers) & set(frontend_developers))

python 复制代码

class Person:
    def __init__(self, name):
        self.name = name


person_list = [Person('Jack'), Person(None), Person('Tom'), Person('John'), Person(None)]
name_set = {person.name for person in person_list if person.name}
print(type(name_set), name_set)  # <class 'set'> {'Tom', 'Jack', 'John'}

python 复制代码

from collections import Counter

c = Counter("你好，世界！你好，编程")

print(c)
print(c.most_common(3))  # 出现最多共同点中的前3个
print(c.keys())
print(c.values())
print(list(c.elements()))

"""
运行结果：

Counter({'你': 2, '好': 2, '，': 2, '世': 1, '界': 1, '！': 1, '编': 1, '程': 1})
[('你', 2), ('好', 2), ('，', 2)]
dict_keys(['你', '好', '，', '世', '界', '！', '编', '程'])
dict_values([2, 2, 2, 1, 1, 1, 1, 1])
['你', '你', '好', '好', '，', '，', '世', '界', '！', '编', '程']
"""

python 复制代码

# 使用元组解包数据
csv_file_row = ['Jack', '168@qq.com', 35]
(name, email, age) = csv_file_row
print(name, email, age)  # Jack 168@qq.com 35

# 使用 *元组 解包数据
group1 = ('Cat', 'Dog')
group2 = ('Eagle', 'Geese')
new_group = (*group1, *group2, 'Snake')
print(new_group)  # ('Cat', 'Dog', 'Eagle', 'Geese', 'Snake')


# 使用 *元组 解包数据
def display_users(*users):
    print(type(users))
    for user in users:
        print(user)


display_users('Dany', 'Bobby', 'Jacky')

# 运行结果：
# <class 'tuple'>
# Dany
# Bobby
# Jacky

python 复制代码

# 巧用占位符
animal = ('Cat', 'Dog', 'Eagle', 'Geese', 'Tiger')

(first, second, _, _, _,) = animal
print(first, second)  # Cat Dog

(first, second, *_) = animal
print(first, second)  # Cat Dog

python 复制代码

list_of_str = ['Syntax Error', 'Network Error', 'File not found']

# 普通方法
concat_string = ''
for substring in list_of_str:
    concat_string += substring

# 高效方法
concat_string = ''.join(list_of_str)

Python 技能提升（一）

注释规范

文档字符串规范

注解规范

布局规范

断言 assert

符号 _

列表推导式

过滤与映射

灵活切片与*号

模拟 switch-case

装饰器 `@dataclass`

字典推导式

字典的排序

字典的组合

优美的打印字典

集合的运算

集合推导式

集合处理 Counter

元组解包数据

元组与占位符_

高效拼接字符串

Python 技能提升（一）

注释规范

文档字符串规范

注解规范

布局规范

断言 assert

符号 _

列表推导式

过滤与映射

灵活切片与*号

模拟 switch-case

装饰器 @dataclass

字典推导式

字典的排序

字典的组合

优美的打印字典

集合的运算

集合推导式

集合处理 Counter

元组解包数据

元组与占位符_

高效拼接字符串

装饰器 `@dataclass`