在本文中，将分享20 个 Python 代码片段，以帮助你应对日常编程挑战。你可能已经知道其中一些片段，但有些其他片段对你来说可能是新的。
赶紧使用这些有用的 Python 代码片段提升你的编程技能吧。
1. 简单的 HTTP Web 服务
# 简单的 HTTP 服务器
import socketserver
import http.serverPORT = 8000 handler = http.server.SimpleHTTPRequestHandler
with socketserver.TCPServer(("", PORT), handler) as http:
print("Server Launch at Localhost: " + str(PORT))
http.serve_forever()#在浏览器中输入http://127.0.0.1:8000/
2.单行循环List
mylist = [10, 11, 12, 13, 14]
print([i * 2 for i in mylist]) # [20, 22, 24, 26, 28]
print([i * 5 for i in mylist]) # [50, 55, 60, 65, 70]
3.更新字典
# 更新字典
mydict = {1: "Python", 2: "JavaScript", 3: "Csharp"}
mydict.update({4: "Dart"})
print(mydict) # {1: 'Python', 2: 'JavaScript', 3: 'Csharp', 4: 'Dart'}
4.拆分多行字符串
# 拆分多行字符串
string = "Data \n is encrpted \n by Python"
print(string)
# Output
# Data
# is encrpted
# by Python
splited = string.split("\n")
print(splited) # ['Data ', ' is encrpted ', ' by Python']
5. 跟踪列表中元素的频率
# Track Frequency
import collections
def Track_Frequency(List):
return dict(collections.Counter(List))
print(Track_Frequency([10, 10, 12, 12, 10, 13, 13, 14]))
# Output
# {10: 3, 12: 2, 13: 2, 14: 1}
6. 不使用 Pandas 读取 CSV 文件
# 简单的类创建
import csv
with open("Test.csv", "r") as file:
read = csv.reader(f)
for r in read:
print(row)
# 输出
# ['Sr', 'Name', 'Profession']
# ['1', '小猴子', '数据挖掘工程师']
# ['2', '云朵君', '算法工程师']
7. 将列表压缩成一个字符串
# 压缩字符串列表
mylist = ["I learn", "Python", "JavaScript", "Dart"]
string = " ".join(mylist)
print(string) # I learn Python JavaScript Dart
8. 获取列表中元素的索引
# 获取列表中元素的索引
mylist = [10, 11, 12, 13, 14]
print(mylist.index(10)) # 0
print(mylist.index(12)) # 2
print(mylist.index(14)) # 4
9. *arg 的魔法
# *arg 的魔法
def func(*arg):
num = 0
for x in arg:
num = num + x
print(num) # 600
func(100, 200, 300)
10. 获取任何数据的类型
# 获取任意数据的类型
data1 = 123
data2 = "Py"
data3 = 123.443
data4 = True
data5 = [1, 2]
print(type(data1)) #
print(type(data2)) #
print(type(data3)) #
print(type(data4)) #
print(type(data5)) #
11.修改打印函数
# 修改打印函数
print("顶级编程语言是 %r, %r 和 %r" % ('Py', 'Js', 'C#'))
# 输出
# 顶级编程语言是“Py”、“Js”和“C#”
12. 字符串去大写
# 字符串的去大写
data1 = "ABCD"
data2 = "Py"
data3 = "Learn Coding"
print(data1.lower()) # abcd
print(data2.lower()) # py
print(data3.lower()) # learn coding
13. 快捷变量交换方式
# 快速交换变量的方法
d1 = 25
d2 = 50
d1, d2 = d2, d1
print(d1, d2) # 50 25
14. 带分隔符打印
# 带分隔符打印
print("Py", "Js", "C#", sep="-") # Py-Js-C#
print("100", "200", "300", sep="x") # 100x200x300
15. 获取网页 HTML 数据
# 使用 pip 安装请求的第一个安装请求导入请求
r = requests.get("https://www.baidu.com/s?wd=数据STUDIO ")
print(r) # 显示整页html数据
16. 获取数据占用内存
# 获取数据占用的内存导入系统
import sys
def memory(data):
return sys.getsizeof(data)
print(memory(100)) # 28
print(memory("Pythonnnnnnn")) # 61
17. 简单的类创建
# 简单的类
class Employee:
def __init__(self, empID):
self.empID = empID
self.name = "Haider"
self.salary = 50000
def getEmpData(self):
return self.name, self.salary
emp = Employee(189345)
print(emp.getEmpData()) # ('Haider', 50000)
18. 字符串乘法器
# 字符串乘数#
# 正常方式
for x in range(5):
print("C#")
# 更好的方式
print("C# "*5) # C# C# C# C# C#
19.链式比较
# 链式比较
a = 5
print(1 == a # False
print(2 a) # True
20. 数字化整数值
# 数字化
integer = 234553
digitz = [int(i) for i in str(integer)]
print(digitz) # [2, 3, 4, 5, 5, 3]
