The fractions module in Python provides support for rational number arithmetic. The Fraction class in this module allows you to create fractions from integers, floats, decimal numbers, and strings, and perform arithmetic operations with them.
The decimal module in Python provides support for fast and correctly rounded decimal floating point arithmetic. It offers several advantages over the float data type, including more precision and a configurable rounding mode.
The cmath module in Python provides mathematical functions for complex numbers. It includes functions for basic arithmetic, trigonometry, logarithms, and more, as well as constants like pi and e.
The math module in Python provides access to mathematical functions defined by the C standard. It includes functions for basic arithmetic, trigonometry, logarithms, and more, as well as constants like pi and e.
The numbers module in Python provides a hierarchy of abstract base classes (ABCs) to define and test numeric types. This module is useful for creating your own numeric types and ensuring that they conform to the behavior expected of numbers.
The graphlib module in Python provides utilities for working with graph-like structures, particularly for performing topological sorts. This can be useful for resolving dependencies, scheduling tasks, and more.
The enum module in Python provides support for creating enumerations, which are a set of symbolic names bound to unique, constant values. Enumerations are useful for representing fixed sets of related values, such as days of the week, states, directions, etc.
The reprlib module in Python provides a means to produce limited-size representations of complex objects. This is particularly useful when dealing with large or deeply nested data structures where a full repr would be impractically large.
The pprint (pretty-print) module in Python provides a capability to "pretty-print" complex data structures in a more readable and formatted way. This is especially useful when dealing with nested data structures like dictionaries and lists.
The copy module in Python provides functions to create shallow and deep copies of objects. This is useful for duplicating objects without affecting the original instance.
The types module in Python defines names for various object types that are used internally by the interpreter. This module is particularly useful when you need to perform type checking or create new types dynamically.
The weakref module in Python provides functions for creating weak references to objects. Weak references allow the referenced object to be garbage collected when there are no strong references to it, which can help with memory management in certain scenarios.
The array module in Python provides an array data structure that is more efficient in terms of memory usage compared to a standard list. Arrays in this module are optimized for numeric data storage and manipulation.
The bisect module in Python provides support for maintaining a list in sorted order without having to sort the list after each insertion. It is useful for handling sorted sequences and can be used to perform binary search operations to find insertion points.
The heapq module in Python provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. Heaps are binary trees for which every parent node has a value less than or equal to any of its children. This property makes heaps useful for implementing priority queues.
The collections.abc module in Python provides abstract base classes (ABCs) for various container types, allowing you to define and check for container interfaces. These ABCs are useful for type checking and ensuring that custom container types implement the necessary methods to behave like standard containers.
The collections module in Python provides alternative container datatypes that offer specialized data structures to manage data efficiently. These data structures are often more efficient and expressive than the built-in data structures such as lists, dictionaries, and tuples.
The calendar module in Python provides functions and classes for working with dates and generating calendar-related data. It includes tools for formatting calendar dates as text, calculating the dates of holidays, and finding the weekday of a specific date.
The zoneinfo module in Python provides access to the IANA time zone database, allowing you to work with time zones in a standardized way. This module is part of the standard library starting from Python 3.9 and is used to create timezone-aware datetime objects.
The datetime module in Python provides classes for manipulating dates and times. It includes functions for both simple and complex date and time manipulations. This module allows you to create, format, and work with dates and times in an intuitive way.
The codecs module in Python provides functions and classes for encoding and decoding data, such as converting text between different character sets. It supports a wide range of standard encodings and allows for custom codec implementations.
The struct module in Python provides functions for working with C-style data structures, particularly for converting between Python values and C structs represented as Python bytes objects. This is particularly useful for reading and writing binary data, such as files or network protocols, that follow a specific format.
The rlcompleter module in Python provides a way to implement completion for the GNU Readline library, which is used for interactive command-line editing. This module can enhance the user experience in Python interactive shells and command-line applications by enabling auto-completion of identifiers and keywords.
The readline module in Python provides an interface to the GNU Readline library, which allows for command-line text input, including features such as line editing, history substitution, and auto-completion. This module is commonly used to enhance the user experience in command-line applications by providing features typically found in interactive shells.
The stringprep module in Python provides support for preparing Unicode strings according to the Stringprep profiles defined in RFC 3454. This module is primarily used for preparing strings for comparison and canonicalization in network protocols and other applications requiring consistent string handling.