To use this module, you must import random at the top of your code.

This module is primarily used to generate random numbers.

Here are example functions from this module,
- random.randrange() returns a random number within the given range
- random.randint() returns a random number within the given range
- random.random() returns a float between 0 and 1
- random.uniform() returns a float between two given parameters

Random Module

To use this module, you must import statistics at the top of your code.
This module is primarily used to do calculations regarding statistics of numerical data.

Here are example functions within this module,
- statistics.mean() returns the mean of the data
- statistics.median() returns the median of the data
- statistics.mode() returns the mode of the data
- statistics.pstdev() returns standard deviation from entire population
- statistics.stdev() returns standard deviation from sample of data
- statistics.pvariance() returns variance from entire population
- statistics.variance() returns variance from sample of data


Statistics Module

Python's `math` module provides access to the mathematical functions defined by the C standard. 
```
import math
```

These functions cannot be used with complex numbers; use the functions of the same name from the `cmath` module if complex number support is required.

Examples of math functions:
- math.ceil(x)
- math.copysign(x, y)
- math.fabs(x)
- math.factorial(x)
- math.floor(x)
- math.gcd(*integers)
- math.isfinite(x)
- math.isinf(x)
- math.isnan(x)
- math.isqrt(n)
- math.lcm(*integers)
- math.prod(iterable, *, start=1)
- math.exp(x)
- math.log(x[, base])

Mathematical Functions

Here are examples of modules within the Python Standard Library:
- random module
- request module
- statistics module
- math module
- cmath module

University of Michigan - Ann Arbor

The Python Standard Library offers a wide variety of features for programmers. In addition to facilitating the use of data types, exceptions, and functions, it also allows the programmer to work with more complex concepts like input and output streams, command line arguments, and internet data handling.

This library has an extensive list of modules that can be read about here: https://docs.python.org/3/library/

Python Standard Library

https://docs.python.org/3/library/index.html

Python Standard Library Documentation

Python Standard Library Modules

The `os` module is a built-in Python library that provides a portable way to use operating system-dependent functionality. It allows programmers to interact with the underlying operating system that Python is running on, enabling tasks such as creating and removing directories, fetching directory contents, changing the current working directory, and constructing file paths robustly. In the context of data preprocessing, the `os` module is essential for preparing the file system, such as creating destination folders for datasets before writing data files to them.

Learn Before

Related

Learn After