20个解决日常编程问题的Python代码分享

目录

• 1. 简单的 HTTP Web 服务器
• 2.单行循环List
• 3.更新字典
• 4.拆分多行字符串
• 5. 跟踪列表中元素的频率
• 6. 不使用 Pandas 读取 CSV 文件
• 7. 将列表压缩成一个字符串
• 8. 获取列表中元素的索引
• 9. Magic of *arg
• 10. 获取任何数据的类型
• 11.修改打印功能
• 12. 字符串去大写
• 13. 更快捷的变量交换方式
• 14. 分色打印
• 15. 获取网页 HTML 数据
• 16. 获取数据占用的内存
• 17. 简单的类创建
• 18. 字符串乘法器
• 19.进行链式比较
• 20. 数字化整数值

使用这些有用的 Python 代码片段提升你的编程技能，在本文中，我将分享 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，但其他片段对你来说，有可能是新的。我们现在开始吧。

1. 简单的 HTTP Web 服务器

# Simple HTTP SERVER
import socketserver
import http.server
PORT = 8000
handler = http.server.SimpleHTTPRequestHandler
with socketserver.TCPServer(("", PORT), handler) as http:
    print("Server Launch at Localhost: " + str(PORT))
    http.serve_forever()
# Type in http://127.0.0.1:8000/ in your webbrowser

2.单行循环List

# 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]

Output：

3.更新字典

# Update Dictionary
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

# Split Multi Lines String
string = "Data \n is encrpted \n by Python"
print(string)

splited = string.split("\n")
print(splited)

Output：

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：

6. 不使用 Pandas 读取 CSV 文件

# Simple Class Creation
import csv
with open("Test.csv", "r") as file:
    read = csv.reader(f)
    for r in read:
        print(row)
# Output
# ['Sr', 'Name', 'Profession']
# ['1', 'Haider Imtiaz', 'Back End Developer']
# ['2', 'Tadashi Wong', 'Software Engineer']

7. 将列表压缩成一个字符串

# Squash list of String
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))
print(mylist.index(12))
print(mylist.index(14))

运行结果：

9. Magic of *arg

# Magic of *arg
def func(*arg):
    num = 0
    for x in arg:
        num = num + x
    print(num) # 600
func(100, 200, 300)

运行结果：

10. 获取任何数据的类型

# Get Type of Any Data
data1 = 123
data2 = "Py"
data3 = 123.443
data4 = True
data5 = [1, 2]
print(type(data1)) # <class 'int'>
print(type(data2)) # <class 'str'>
print(type(data3)) # <class 'float'>
print(type(data4)) # <class 'bool'>
print(type(data5)) # <class 'list'>

11.修改打印功能

# 修改打印功能
print("Top Programming Languages are %r, %r and %r" % ('Py', 'Js', 'C#'))
# Output
# Top Programming Languages are 'Py', 'Js' and 'C#'

12. 字符串去大写

# 字符串去大写
data1 = "KuaiXue"
data2 = "Python"
data3 = "Kx Python"
print(data1.lower())
print(data2.lower())
print(data3.lower())

运行结果：

13. 更快捷的变量交换方式

# Quick Way to Exchange Variables
d1 = 25
d2 = 50
d1, d2 = d2, d1
print(d1, d2) # 50 25

14. 分色打印

# Print with Seperation
print("Py", "Js", "C#", sep="-") # Py-Js-C#
print("100", "200", "300", sep="x") # 100x200x300

15. 获取网页 HTML 数据

# First Install Request with pip install requests
import requests
r = requests.get("https://www.baidu.com/")
print(r)

运行结果：

16. 获取数据占用的内存

# Get Memory taken by data
import sys
def memory(data):
    return sys.getsizeof(data)
print(memory(100)) # 28
print(memory("Pythonnnnnnn")) # 61

17. 简单的类创建

# Simple Class Creation
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

# String Multiplier
# Normal way
for x in range(5):
    print("C#")

# Good way
print("C# "*5) # C# C# C# C# C#

19.进行链式比较

# Chain Comparison
a = 5
print(1 == a < 2) # False
print(2 < 3 < 6 > a) # True

20. 数字化整数值

# Digitizing
integer = 234553
digitz = [int(i) for i in str(integer)]
print(digitz) # [2, 3, 4, 5, 5, 3]

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