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
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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