Python文档是Python编程语言的官方参考文档
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Python文档是Python编程语言的官方参考文档。它包含有关Python标准库(也称为内置模块)和第三方库的详细信息,以及Python解释器本身的参考文档。
Python文档提供了丰富的示例代码、解释和用法说明,帮助开发人员更好地理解Python,并利用Python构建应用程序。
下面是一个从Python文档中获取random模块帮助的示例:
1. 打开Python Shell或者运行Python文件
2. 导入 random 模块
import random
3. 获取有关random模块的帮助信息,可以使用help()函数:
help(random)
4. 这会打印出random模块的文档字符串,其中包括模块的描述、可用的函数、类、常量等等。
Help on module random:
NAME
random - Random variable generators.
MODULE REFERENCE
https://docs.python.org/3/library/random
DESCRIPTION
This module implements pseudo-random number generators for various
distributions.
For integers, there is uniform selection from a range. For sequences,
there is uniform selection of a random element, a function to generate a
random permutation of a list in-place, and a function for random sampling
without replacement.
On the real line, there are functions to compute uniform, normal (Gaussian),
lognormal, negative exponential, gamma, and beta distributions. For
generating distributions of angles, the von Mises distribution is available.
Almost all module functions depend on the basic function random(), which
generates a random float uniformly in the semi-open range [0.0, 1.0). Python
uses the Mersenne Twister as the core generator. It produces 53-bit precision
floats and has a period of 2**19937-1. The underlying implementation in C is
both fast and threadsafe. The Mersenne Twister is one of the most extensively
tested random number generators in existence. However, being completely
deterministic, it is not suitable for all purposes, and is completely unsuitable
for cryptographic purposes.
...
Python文档是Python编程语言的官方参考文档。它包含有关Python标准库(也称为内置模块)和第三方库的详细信息,以及Python解释器本身的参考文档。
Python文档提供了丰富的示例代码、解释和用法说明,帮助开发人员更好地理解Python,并利用Python构建应用程序。
下面是一个从Python文档中获取random模块帮助的示例:
1. 打开Python Shell或者运行Python文件
2. 导入 random 模块
import random
3. 获取有关random模块的帮助信息,可以使用help()函数:
help(random)
4. 这会打印出random模块的文档字符串,其中包括模块的描述、可用的函数、类、常量等等。
Help on module random:
NAME
random - Random variable generators.
MODULE REFERENCE
https://docs.python.org/3/library/random
DESCRIPTION
This module implements pseudo-random number generators for various
distributions.
For integers, there is uniform selection from a range. For sequences,
there is uniform selection of a random element, a function to generate a
random permutation of a list in-place, and a function for random sampling
without replacement.
On the real line, there are functions to compute uniform, normal (Gaussian),
lognormal, negative exponential, gamma, and beta distributions. For
generating distributions of angles, the von Mises distribution is available.
Almost all module functions depend on the basic function random(), which
generates a random float uniformly in the semi-open range [0.0, 1.0). Python
uses the Mersenne Twister as the core generator. It produces 53-bit precision
floats and has a period of 2**19937-1. The underlying implementation in C is
both fast and threadsafe. The Mersenne Twister is one of the most extensively
tested random number generators in existence. However, being completely
deterministic, it is not suitable for all purposes, and is completely unsuitable
for cryptographic purposes.
...
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