There are many ways to randomly generate verification codes in Python. Today I will list two for you. You can also modify it on this basis and design a verification code method that suits you
Method 1:
Use the range method. For the range method For students who are unclear, please refer to the article "range() function developed in python"
# -*- coding: utf-8 -*- import random def generate_verification_code(len=6): ''' 随机生成6位的验证码 ''' # 注意: 这里我们生成的是0-9A-Za-z的列表,当然你也可以指定这个list,这里很灵活 # 比如: code_list = ['P','y','t','h','o','n','T','a','b'] # PythonTab的字母 code_list = [] for i in range(10): # 0-9数字 code_list.append(str(i)) for i in range(65, 91): # 对应从“A”到“Z”的ASCII码 code_list.append(chr(i)) for i in range(97, 123): #对应从“a”到“z”的ASCII码 code_list.append(chr(i)) myslice = random.sample(code_list, len) # 从list中随机获取6个元素,作为一个片断返回 verification_code = ''.join(myslice) # list to string return verification_code
Method 2:
利用randint方法 # -*- coding: utf-8 -*- import random def generate_verification_code_v2(): ''' 随机生成6位的验证码 ''' code_list = [] for i in range(2): random_num = random.randint(0, 9) # 随机生成0-9的数字 # 利用random.randint()函数生成一个随机整数a,使得65<=a<=90 # 对应从“A”到“Z”的ASCII码 a = random.randint(65, 90) b = random.randint(97, 122) random_uppercase_letter = chr(a) random_lowercase_letter = chr(b) code_list.append(str(random_num)) code_list.append(random_uppercase_letter) code_list.append(random_lowercase_letter) verification_code = ''.join(code_list) return verification_code
Test:
code = generate_verification_code(6) code2 = generate_verification_code_v2() print code print code2
Output result:
Glc5Tr Hr6t7B
me Personally, I prefer the first method, which is more flexible and can set the length of the verification code at will.

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Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.


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