'_test_generator', '_urandom', '_warn', 'betavariate', 'choice', 'choices', 'expovariate', 'gammavariate', 'gauss', 'getrandbits', 'getstate', 'lognormvariate', 'normalvariate', 'paretovariate', 'randbytes', 'randint', 'random', 'randrange', 'sample', 'seed', 'setstate', 'shuf...
Mother's maiden name Jacob SSN 159-64-XXXX You shouldclick hereto find out if your SSN is online. Geo coordinates 41.614242, -76.783757 Phone Phone 570-673-1723 Country code 1 Birthday Birthday January 7, 1978 Age 47 years old Tropical zodiac ...
The main difference between the two is thatGeneratorrelies on an additional BitGenerator to manage state and generate the random bits, which are then transformed into random values from useful distributions. The default BitGenerator used byGeneratorisPCG64. The BitGenerator can be changed by passing...
Heroku like random name generator. There is an djective and a noun list and it generates random name joining them by user provided delimiter. Install Just install using pip: $ pip install pyhaikunator Usage fromhaikunatorimportHaikunatorHaikunator.haikunate()# <-- 'icy-dream-4198'# drop ran...
hashlib和hmac都是python内置的加密模块,它们都提供实现了单向加密算法的api。 1. hashlib模块 hashlib模块简介: hashlib模块为不同的安全哈希/安全散列(Secure Hash Algorithm)和 信息摘要算法(Message Digest Algorithm)实现了一个公共的、通用的接口,也可以说是一个统一的入口。因为hashlib模块不仅仅是整合了md5和sha...
学习:Python开发技术祥解 源文件\02\2.2\2.2.1 #!/usr/bin/python # -*- coding: UTF-8 -*- #变量、模块名的命名规则 # Filename: ruleModule.py _rule = "rule information" #定义全局变量,变量命名最好以下划线开头 #面向对象中的命名规则 ...
The generator’s random() method will continue to produce the same sequence when the compatible seeder is given the same seed. 大概意思,我个人理解,就是说Python版本一样的话,random模块确保可重现性。 本人实验,即使是不同的平台下的Python解释器,例如Linux和Windows,seed一样的话,随机数序列也是一模一样...
For a fine-tuned version of this function, this Stack Overflow answer uses generator functions, name binding, and some other advanced tricks to make a faster, cryptographically secure version of unique_strings() above.Remove ads PRNGs for Arrays: numpy.randomOne thing you might have noticed is ...
The Generator object’s .choice() method allows you to select random samples from a given array in a variety of different ways. You give this a whirl in the next few examples: Python >>> import numpy as np >>> rng = np.random.default_rng() >>> input_array_1d = np.array([1,...
random seed() function to initialize the pseudo-random number generator in Python to get the deterministic random data you want.