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。
简单的 HTTP Web 服务器
# 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/
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]
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'}
拆分多行字符串
# 拆分多行字符串 string = "Data is encrpted by Python" print(string) # Output # Data # is encrpted # by Python splited = string.split(" ") print(splited) # ['Data ', ' is encrpted ', ' by Python']
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}
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']
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
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
*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)
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)) # <class 'int'> print(type(data2)) # <class 'str'> print(type(data3)) # <class 'float'> print(type(data4)) # <class 'bool'> print(type(data5)) # <class 'list'>
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#”
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
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
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
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
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
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)
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#
链式比较
# 链式比较 a = 5 print(1 == a < 2) # False print(2 < 3 < 6 > a) # True
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]
文章版权声明:除非注明,否则均为老余个人博客原创文章,转载或复制请以超链接形式并注明出处。
发表评论