Python 速查表是 Python 3 编程语言的单页参考表。
>>> print("Hello, World!")
Hello, World!
Python 中著名的 "Hello World" 程序
age = 18 # age is of type int
name = "John" # name is now of type str
print(name)
Python 不能在没有赋值的情况下声明变量。
str |
文本 |
int , float , complex |
数字 |
list , tuple , range |
序列 |
dict |
映射 |
set , frozenset |
集合 |
bool |
布尔 |
bytes , bytearray , memoryview |
二进制 |
参见: 数据类型
mylist = []
mylist.append(1)
mylist.append(2)
for item in mylist:
print(item) # prints out 1,2
参见: 列表
num = 200
if num > 0:
print("num is greater than 0")
else:
print("num is not greater than 0")
参见: 流程控制
>>> def my_function():
... print("Hello from a function")
...
>>> my_function()
Hello from a function
参见: 函数
result = 10 + 30 # => 40
result = 40 - 10 # => 30
result = 50 * 5 # => 250
result = 16 / 4 # => 4.0 (Float Division)
result = 16 // 4 # => 4 (Integer Division)
result = 25 % 2 # => 1
result = 5 ** 3 # => 125
/
表示 x 和 y 的商,//
表示 x 和 y 的向下取整除法,另请参阅
StackOverflow
counter = 0
counter += 10 # => 10
counter = 0
counter = counter + 10 # => 10
message = "Part 1."
# => Part 1.Part 2.
message += "Part 2."
>>> website = 'r3f.cn'
>>> f"Hello, {website}"
"Hello, r3f.cn"
>>> num = 10
>>> f'{num} + 10 = {num + 10}'
'10 + 10 = 20'
参见: Python F-字符串
hello = "Hello World"
hello = 'Hello World'
multi_string = """Multiline Strings
Lorem ipsum dolor sit amet,
consectetur adipiscing elit """
参见: 字符串
x = 1 # int
y = 2.8 # float
z = 1j # complex
>>> print(type(x))
<class 'int'>
my_bool = True
my_bool = False
bool(0) # => False
bool(1) # => True
list1 = ["apple", "banana", "cherry"]
list2 = [True, False, False]
list3 = [1, 5, 7, 9, 3]
list4 = list((1, 5, 7, 9, 3))
参见: 列表
my_tuple = (1, 2, 3)
my_tuple = tuple((1, 2, 3))
tupla = (1, 2, 3, 'python')
print(tupla[0]) # Output: 1
print(tupla.count(1)) # 计算出现次数
print(tupla.index(2)) # 查找索引
tupla1 = (1, 2, 3)
tupla2 = ('a', 'b')
len(tuple) → 返回元素数量。
in → 检查元素是否存在于元组中。
Concatenation (+) → 合并两个元组。
Repetition (*) → 重复一个元组。
Slicing (tuple[start:end]) → 提取子元组。
print(len(tupla1)) # Output: 3
print(2 in tupla1) # Output: True
print(tupla1 + tupla2) # Output: (1, 2, 3, 'a', 'b')
print(tupla1[1:]) # Output: (2, 3)
# unpacking
a, b, c, d = tupla # 每个值赋给一个变量
与列表类似,但不可变
set1 = {"a", "b", "c"}
set2 = set(("a", "b", "c"))
唯一项目/对象的集合
>>> empty_dict = {}
>>> a = {"one": 1, "two": 2, "three": 3}
>>> a["one"]
1
>>> a.keys()
dict_keys(['one', 'two', 'three'])
>>> a.values()
dict_values([1, 2, 3])
>>> a.update({"four": 4})
>>> a.keys()
dict_keys(['one', 'two', 'three', 'four'])
>>> a['four']
4
键值对,类似 JSON 的对象
x = int(1) # x will be 1
y = int(2.8) # y will be 2
z = int("3") # z will be 3
x = float(1) # x will be 1.0
y = float(2.8) # y will be 2.8
z = float("3") # z will be 3.0
w = float("4.2") # w will be 4.2
x = str("s1") # x will be 's1'
y = str(2) # y will be '2'
z = str(3.0) # z will be '3.0'
import heapq
myList = [9, 5, 4, 1, 3, 2]
heapq.heapify(myList) # 将 myList 转换为最小堆
print(myList) # => [1, 3, 2, 5, 9, 4]
print(myList[0]) # 堆中的第一个值始终是最小的
heapq.heappush(myList, 10) # 插入 10
x = heapq.heappop(myList) # 弹出并返回最小项
print(x) # => 1
myList = [9, 5, 4, 1, 3, 2]
myList = [-val for val in myList] # 乘以 -1 取反
heapq.heapify(myList)
x = heapq.heappop(myList)
print(-x) # => 9 (确保再次乘以 -1)
堆是二叉树,其中每个父节点的值都小于或等于其任何子节点的值。用于快速访问最小值/最大值。时间复杂度:heapify 为 O(n),push 和 pop 为 O(log n)。参见: Heapq
from collections import deque
q = deque() # 空
q = deque([1, 2, 3]) # 带值
q.append(4) # 追加到右侧
q.appendleft(0) # 追加到左侧
print(q) # => deque([0, 1, 2, 3, 4])
x = q.pop() # 从右侧移除并返回
y = q.popleft() # 从左侧移除并返回
print(x) # => 4
print(y) # => 0
print(q) # => deque([1, 2, 3])
q.rotate(1) # 向右旋转1步
print(q) # => deque([3, 1, 2])
Deque 是一个双端队列,两端追加/弹出操作的时间复杂度为 O(1)。用作栈和队列。参见: Deque
>>> hello = "Hello, World"
>>> print(hello[1])
e
>>> print(hello[-1])
d
获取位置 1 或最后一个字符
>>> for char in "foo":
... print(char)
f
o
o
遍历单词 "foo" 中的字母
┌───┬───┬───┬───┬───┬───┬───┐
| m | y | b | a | c | o | n |
└───┴───┴───┴───┴───┴───┴───┘
0 1 2 3 4 5 6 7
-7 -6 -5 -4 -3 -2 -1
>>> s = 'mybacon'
>>> s[2:5]
'bac'
>>> s[0:2]
'my'
>>> s = 'mybacon'
>>> s[:2]
'my'
>>> s[2:]
'bacon'
>>> s[:2] + s[2:]
'mybacon'
>>> s[:]
'mybacon'
>>> s = 'mybacon'
>>> s[-5:-1]
'baco'
>>> s[2:6]
'baco'
>>> s = '12345' * 5
>>> s
'1234512345123451234512345'
>>> s[::5]
'11111'
>>> s[4::5]
'55555'
>>> s[::-5]
'55555'
>>> s[::-1]
'5432154321543215432154321'
>>> hello = "Hello, World!"
>>> print(len(hello))
13
len() 函数返回字符串的长度
>>> s = '===+'
>>> n = 8
>>> s * n
'===+===+===+===+===+===+===+===+'
>>> s = 'spam'
>>> s in 'I saw spamalot!'
True
>>> s not in 'I saw The Holy Grail!'
True
>>> s = 'spam'
>>> t = 'egg'
>>> s + t
'spamegg'
>>> 'spam' 'egg'
'spamegg'
name = "John"
print("Hello, %s!" % name)
name = "John"
age = 23
print("%s is %d years old." % (name, age))
txt1 = "My name is {fname}, I'm {age}".format(fname="John", age=36)
txt2 = "My name is {0}, I'm {1}".format("John", 36)
txt3 = "My name is {}, I'm {}".format("John", 36)
>>> name = input("Enter your name: ")
Enter your name: Tom
>>> name
'Tom'
从控制台获取输入数据
>>> "#".join(["John", "Peter", "Vicky"])
'John#Peter#Vicky'
>>> "Hello, world!".endswith("!")
True
>>> website = 'r3f.cn'
>>> f"Hello, {website}"
"Hello, r3f.cn"
>>> num = 10
>>> f'{num} + 10 = {num + 10}'
'10 + 10 = 20'
>>> f"""He said {"I'm John"}"""
"He said I'm John"
>>> f'5 {"{stars}"}'
'5 {stars}'
>>> f'{{5}} {"stars"}'
'{5} stars'
>>> name = 'Eric'
>>> age = 27
>>> f"""Hello!
... I'm {name}.
... I'm {age}."""
"Hello!\n I'm Eric.\n I'm 27."
自 Python 3.6 起可用,另请参阅: 格式化字符串字面值
>>> f'{"text":10}' # [宽度]
'text '
>>> f'{"test":*>10}' # 左填充
'******test'
>>> f'{"test":*<10}' # 右填充
'test******'
>>> f'{"test":*^10}' # 居中填充
'***test***'
>>> f'{12345:0>10}' # 用数字填充
'0000012345'
>>> f'{10:b}' # 二进制类型
'1010'
>>> f'{10:o}' # 八进制类型
'12'
>>> f'{200:x}' # 十六进制类型
'c8'
>>> f'{200:X}'
'C8'
>>> f'{345600000000:e}' # 科学计数法
'3.456000e+11'
>>> f'{65:c}' # 字符类型
'A'
>>> f'{10:#b}' # [类型] 带表示法 (基数)
'0b1010'
>>> f'{10:#o}'
'0o12'
>>> f'{10:#x}'
'0xa'
>>> f'{-12345:0=10}' # 负数
'-000012345'
>>> f'{12345:010}' # [0] 快捷方式 (无对齐)
'0000012345'
>>> f'{-12345:010}'
'-000012345'
>>> import math # [.精度]
>>> math.pi
3.141592653589793
>>> f'{math.pi:.2f}'
'3.14'
>>> f'{1000000:,.2f}' # [分组选项]
'1,000,000.00'
>>> f'{1000000:_.2f}'
'1_000_000.00'
>>> f'{0.25:0%}' # 百分比
'25.000000%'
>>> f'{0.25:.0%}'
'25%'
>>> f'{12345:+}' # [符号] (+/-)
'+12345'
>>> f'{-12345:+}'
'-12345'
>>> f'{-12345:+10}'
' -12345'
>>> f'{-12345:+010}'
'-000012345'
>>> li1 = []
>>> li1
[]
>>> li2 = [4, 5, 6]
>>> li2
[4, 5, 6]
>>> li3 = list((1, 2, 3))
>>> li3
[1, 2, 3]
>>> li4 = list(range(1, 11))
>>> li4
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
>>> list(filter(lambda x : x % 2 == 1, range(1, 20)))
[1, 3, 5, 7, 9, 11, 13, 15, 17, 19]
>>> [x ** 2 for x in range (1, 11) if x % 2 == 1]
[1, 9, 25, 49, 81]
>>> [x for x in [3, 4, 5, 6, 7] if x > 5]
[6, 7]
>>> list(filter(lambda x: x > 5, [3, 4, 5, 6, 7]))
[6, 7]
>>> li = []
>>> li.append(1)
>>> li
[1]
>>> li.append(2)
>>> li
[1, 2]
>>> li.append(4)
>>> li
[1, 2, 4]
>>> li.append(3)
>>> li
[1, 2, 4, 3]
列表切片语法:
a_list[start:end]
a_list[start:end:step]
>>> a = ['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
>>> a[2:5]
['bacon', 'tomato', 'ham']
>>> a[-5:-2]
['egg', 'bacon', 'tomato']
>>> a[1:4]
['egg', 'bacon', 'tomato']
>>> a[:4]
['spam', 'egg', 'bacon', 'tomato']
>>> a[0:4]
['spam', 'egg', 'bacon', 'tomato']
>>> a[2:]
['bacon', 'tomato', 'ham', 'lobster']
>>> a[2:len(a)]
['bacon', 'tomato', 'ham', 'lobster']
>>> a
['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
>>> a[:]
['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
>>> a[0:6:2]
['spam', 'bacon', 'ham']
>>> a[1:6:2]
['egg', 'tomato', 'lobster']
>>> a[6:0:-2]
['lobster', 'tomato', 'egg']
>>> a
['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
>>> a[::-1]
['lobster', 'ham', 'tomato', 'bacon', 'egg', 'spam']
>>> li = ['bread', 'butter', 'milk']
>>> li.pop()
'milk'
>>> li
['bread', 'butter']
>>> del li[0]
>>> li
['butter']
>>> li = ['a', 'b', 'c', 'd']
>>> li[0]
'a'
>>> li[-1]
'd'
>>> li[4]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
IndexError: list index out of range
>>> odd = [1, 3, 5]
>>> odd.extend([9, 11, 13])
>>> odd
[1, 3, 5, 9, 11, 13]
>>> odd = [1, 3, 5]
>>> odd + [9, 11, 13]
[1, 3, 5, 9, 11, 13]
>>> li = [3, 1, 3, 2, 5]
>>> li.sort()
>>> li
[1, 2, 3, 3, 5]
>>> li.reverse()
>>> li
[5, 3, 3, 2, 1]
>>> li = [3, 1, 3, 2, 5]
>>> li.count(3)
2
>>> li = ["re"] * 3
>>> li
['re', 're', 're']
num = 5
if num > 10:
print("num is totally bigger than 10.")
elif num < 10:
print("num is smaller than 10.")
else:
print("num is indeed 10.")
>>> a = 330
>>> b = 200
>>> r = "a" if a > b else "b"
>>> print(r)
a
value = True
if not value:
print("Value is False")
elif value is None:
print("Value is None")
else:
print("Value is True")
x = 1
match x:
case 0:
print("zero")
case 1:
print("one")
case _:
print("multiple")
primes = [2, 3, 5, 7]
for prime in primes:
print(prime)
打印: 2 3 5 7
animals = ["dog", "cat", "mouse"]
# enumerate() 为可迭代对象添加计数器
for i, value in enumerate(animals):
print(i, value)
打印: 0 dog 1 cat 2 mouse
x = 0
while x < 4:
print(x)
x += 1 # x = x + 1 的简写
打印: 0 1 2 3
x = 0
for index in range(10):
x = index * 10
if index == 5:
break
print(x)
打印: 0 10 20 30 40
for index in range(3, 8):
x = index * 10
if index == 5:
continue
print(x)
打印: 30 40 60 70
for i in range(4):
print(i) # 打印: 0 1 2 3
for i in range(4, 8):
print(i) # 打印: 4 5 6 7
for i in range(4, 10, 2):
print(i) # 打印: 4 6 8
words = ['Mon', 'Tue', 'Wed']
nums = [1, 2, 3]
# 使用 zip 打包成元组列表
for w, n in zip(words, nums):
print('%d:%s, ' %(n, w))
打印: 1:Mon, 2:Tue, 3:Wed,
def hello_world():
print('Hello, World!')
def add(x, y):
print("x is %s, y is %s" %(x, y))
return x + y
add(5, 6) # => 11
def varargs(*args):
return args
varargs(1, 2, 3) # => (1, 2, 3)
"args" 的类型是元组。
def keyword_args(**kwargs):
return kwargs
# => {"big": "foot", "loch": "ness"}
keyword_args(big="foot", loch="ness")
"kwargs" 的类型是字典。
def swap(x, y):
return y, x
x = 1
y = 2
x, y = swap(x, y) # => x = 2, y = 1
def add(x, y=10):
return x + y
add(5) # => 15
add(5, 20) # => 25
# => True
(lambda x: x > 2)(3)
# => 5
(lambda x, y: x ** 2 + y ** 2)(2, 1)
class MyNewClass:
pass
# 类实例化
my = MyNewClass()
class Animal:
def __init__(self, voice):
self.voice = voice
cat = Animal('Meow')
print(cat.voice) # => Meow
dog = Animal('Woof')
print(dog.voice) # => Woof
class Dog:
# 类的方法
def bark(self):
print("Ham-Ham")
charlie = Dog()
charlie.bark() # => "Ham-Ham"
class MyClass:
class_variable = "A class variable!"
# => A class variable!
print(MyClass.class_variable)
x = MyClass()
# => A class variable!
print(x.class_variable)
class ParentClass:
def print_test(self):
print("Parent Method")
class ChildClass(ParentClass):
def print_test(self):
print("Child Method")
# 调用父类的 print_test()
super().print_test()
>>> child_instance = ChildClass()
>>> child_instance.print_test()
Child Method
Parent Method
class Employee:
def __init__(self, name):
self.name = name
def __repr__(self):
return self.name
john = Employee('John')
print(john) # => John
class CustomError(Exception):
pass
class ParentClass:
def print_self(self):
print('A')
class ChildClass(ParentClass):
def print_self(self):
print('B')
obj_A = ParentClass()
obj_B = ChildClass()
obj_A.print_self() # => A
obj_B.print_self() # => B
class ParentClass:
def print_self(self):
print("Parent")
class ChildClass(ParentClass):
def print_self(self):
print("Child")
child_instance = ChildClass()
child_instance.print_self() # => Child
class Animal:
def __init__(self, name, legs):
self.name = name
self.legs = legs
class Dog(Animal):
def sound(self):
print("Woof!")
Yoki = Dog("Yoki", 4)
print(Yoki.name) # => YOKI
print(Yoki.legs) # => 4
Yoki.sound() # => Woof!
string: str = "ha"
times: int = 3
# 错误的提示,但能正确运行
result: str = 1 + 2
print(result) # => 3
def say(name: str, start: str = "Hi"):
return start + ", " + name
print(say("Python")) # => Hi, Python
from typing import Dict, Tuple, List
bill: Dict[str, float] = {
"apple": 3.14,
"watermelon": 15.92,
"pineapple": 6.53,
}
completed: Tuple[str] = ("DONE",)
succeeded: Tuple[int, str] = (1, "SUCCESS")
statuses: Tuple[str, ...] = (
"DONE", "SUCCESS", "FAILED", "ERROR",
)
codes: List[int] = (0, 1, -1, -2)
bill: dict[str, float] = {
"apple": 3.14,
"watermelon": 15.92,
"pineapple": 6.53,
}
completed: tuple[str] = ("DONE",)
succeeded: tuple[int, str] = (1, "SUCCESS")
statuses: tuple[str, ...] = (
"DONE", "SUCCESS", "FAILED", "ERROR",
)
codes: list[int] = (0, 1, -1, -2)
def calc_summary(*args: int):
return sum(args)
print(calc_summary(3, 1, 4)) # => 8
表示所有参数的类型都是 int。
def say_hello(name) -> str:
return "Hello, " + name
var = "Python"
print(say_hello(var)) # => Hello, Python
from typing import Union
def resp200(meaningful) -> Union[int, str]:
return "OK" if meaningful else 200
表示返回值类型可能是 int 或 str。
def calc_summary(**kwargs: int):
return sum(kwargs.values())
print(calc_summary(a=1, b=2)) # => 3
表示所有参数值的类型都是 int。
def resp200() -> (int, str):
return 200, "OK"
returns = resp200()
print(returns) # => (200, 'OK')
print(type(returns)) # tuple
def resp200(meaningful) -> int | str:
return "OK" if meaningful else 200
自 Python 3.10 起
class Employee:
name: str
age: int
def __init__(self, name, age):
self.name = name
self.age = age
self.graduated: bool = False
class Employee:
name: str
def set_name(self, name) -> "Employee":
self.name = name
return self
def copy(self) -> 'Employee':
return type(self)(self.name)
from typing import Self
class Employee:
name: str
age: int
def set_name(self: Self, name) -> Self:
self.name = name
return self
from typing import TypeVar, Type
T = TypeVar("T")
# "mapper" 是一个类型,如 int、str、MyClass 等。
# "default" 是类型 T 的一个实例,如 314、"string"、MyClass() 等。
# 返回的也是类型 T 的一个实例。
def converter(raw, mapper: Type[T], default: T) -> T:
try:
return mapper(raw)
except:
return default
raw: str = input("Enter an integer: ")
result: int = converter(raw, mapper=int, default=0)
from typing import TypeVar, Callable, Any
T = TypeVar("T")
def converter(raw, mapper: Callable[[Any], T], default: T) -> T:
try:
return mapper(raw)
except:
return default
# Callable[[Any], ReturnType] 表示一个函数声明如下:
# def func(arg: Any) -> ReturnType:
# pass
# Callable[[str, int], ReturnType] 表示一个函数声明如下:
# def func(string: str, times: int) -> ReturnType:
# pass
# Callable[..., ReturnType] 表示一个函数声明如下:
# def func(*args, **kwargs) -> ReturnType:
# pass
def is_success(value) -> bool:
return value in (0, "OK", True, "success")
resp = dict(code=0, message="OK", data=[])
successed: bool = converter(resp["message"], mapper=is_success, default=False)
values = [1, "text", True, "", 2]
i = 0
# 它将值赋给变量并在布尔表达式中进行比较
while (data := values[i]):
print(data, end=",")
i = i + 1
# 预期结果: 1, "text", True
# 这是单行注释。
""" 可以使用三个 " 来编写多行字符串,
并且通常用作文档。
"""
''' 可以使用三个 ' 来编写多行字符串,
并且通常用作文档。
'''
def double_numbers(iterable):
for i in iterable:
yield i + i
生成器帮助您编写惰性代码。
values = (-x for x in [1,2,3,4,5])
gen_to_list = list(values)
# => [-1, -2, -3, -4, -5]
print(gen_to_list)
try:
# 使用 "raise" 抛出错误
raise IndexError("This is an index error")
except IndexError as e:
pass # Pass 只是一个空操作。通常你会在这里进行恢复操作。
except (TypeError, NameError):
pass # 如果需要,可以一起处理多个异常。
else: # try/except 块的可选子句。必须在所有 except 块之后
print("All good!") # 仅当 try 中的代码没有引发异常时运行
finally: # 在任何情况下都会执行
print("We can clean up resources here")