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2. random — Generate pseudo-random numbers — Python 3.12.6...

   docs.python.org/3/library/random.html

   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.

3. Generate secure random numbers for managing secrets - Python

   docs.python.org/3/library/secrets.html

   The secrets module is used for generating cryptographically strong random numbers suitable for managing data such as passwords, account authentication, security tokens, and related secrets.

4. uuid — UUID objects according to RFC 4122 — Python 3.12.6...

   docs.python.org/3/library/uuid.html

   uuid.uuid1(node=None, clock_seq=None) ¶. Generate a UUID from a host ID, sequence number, and the current time. If node is not given, getnode() is used to obtain the hardware address. If clock_seq is given, it is used as the sequence number; otherwise a random 14-bit sequence number is chosen.

5. fractions — Rational numbers — Python 3.12.6 documentation

   docs.python.org/3/library/fractions.html

   The fractions module provides support for rational number arithmetic. A Fraction instance can be constructed from a pair of integers, from another rational number, or from a string. class fractions.Fraction(numerator=0, denominator=1) ¶. class fractions.Fraction(other_fraction)

6. Numeric and Mathematical Modules — Python 3.12.6 documentation

   docs.python.org/3/library/numeric.html

   The numbers module defines an abstract hierarchy of numeric types. The math and cmath modules contain various mathematical functions for floating-point and complex numbers. The decimal module supports exact representations of decimal numbers, using arbitrary precision arithmetic.

7. statistics — Mathematical statistics functions — Python 3.12.6...

   docs.python.org/3/library/statistics.html

   Generates n random samples for a given mean and standard deviation. Returns a list of float values. If seed is given, creates a new instance of the underlying random number generator. This is useful for creating reproducible results, even in a multi-threading context. pdf (x) ¶