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20个解决日常编程问题的Python代码分享

Python解决编程问题代码Python编程代码 2023-01-28 06:01:14 762人浏览 安东尼

Python 官方文档:入门教程 => 点击学习

摘要

目录1. 简单的 Http WEB 服务器2.单行循环List3.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

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]

到此这篇关于20个解决日常编程问题的Python代码分享的文章就介绍到这了,更多相关Python解决编程问题内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网!

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