IT Glossary & Dictionary

A class that defines a common interface for subclasses by declaring abstract methods that must be implemented.

A Python library for writing concurrent code using async/await syntax for non-blocking I/O operations.

A distributed task queue for Python that enables asynchronous processing of background jobs and scheduled tasks.

A blueprint for creating objects that bundles data (attributes) and behavior (methods) together.

A concise syntax pattern for creating collections by transforming and filtering items from iterables.

An object that manages resources by defining setup and cleanup actions using the with statement.

A decorator that automatically generates __init__, __repr__, __eq__, and other special methods for classes that mainly store data.

A function that modifies or extends the behavior of another function or class without changing its source code.

A built-in data structure that stores key-value pairs with O(1) average lookup time using hash tables.

A high-level web framework that follows the batteries-included philosophy, providing ORM, admin, auth, and more out of the box.

A string literal placed as the first statement in a module, class, or function to document its purpose and usage.

A built-in class for creating enumerated constants — named groups of related values that improve code readability.

A mechanism for managing runtime errors using try, except, else, and finally blocks to prevent program crashes.

A modern, high-performance Python web framework for building APIs with automatic OpenAPI documentation and type validation.

A lightweight web framework for Python that provides essentials for building web applications without imposing structure.

A formatted string literal prefixed with f that allows embedding Python expressions directly inside curly braces.

A function that yields values one at a time using the yield keyword, enabling memory-efficient iteration over large datasets.

A mutex in CPython that allows only one thread to execute Python bytecode at a time, limiting true parallelism.

An anonymous, single-expression function defined inline using the lambda keyword.

A concise syntax for creating new lists by applying an expression to each item in an existing iterable.

Python's built-in module for recording diagnostic information with configurable handlers, formatters, and log levels.

Special double-underscore methods that define how Python objects behave with built-in operations and functions.

A comprehensive plotting library for creating static, animated, and interactive visualizations in Python.

A Python file containing definitions and statements that can be imported and reused in other Python programs.

A fundamental library for numerical computing in Python, providing efficient multi-dimensional arrays and mathematical operations.

A powerful data analysis and manipulation library providing DataFrames and tools for working with structured data.

A modern Python module providing an object-oriented interface for filesystem paths, replacing os.path operations.

Python's built-in module for serializing and deserializing Python objects into a byte stream for storage or transmission.

The standard package installer for Python, used to install and manage third-party libraries from PyPI.

A text file listing Python package dependencies with version specifications for reproducible project installations.

A modern Python dependency management and packaging tool that handles virtual environments, locking, and publishing.

A data validation library that uses Python type annotations to validate and serialize data with automatic error reporting.

A testing framework for Python that simplifies writing and running tests with powerful features like fixtures and parametrize.

The Abstract Base Classes module that enables defining interfaces and abstract methods that subclasses must implement.

A variable that maintains separate values for each execution context, enabling implicit state passing in async code without global variables.

A function defined with async def that can be paused and resumed, enabling concurrent execution without threads.

Objects that define __get__, __set__, or __delete__ methods, controlling how attribute access works on other objects.

The program that reads and executes Python code, translating it into machine instructions at runtime.

The interface requiring __iter__() and __next__() methods, enabling objects to be used in for loops and other iteration contexts.

Structured approaches to implementing logging in Python applications using the built-in logging module for debugging and monitoring.

A class whose instances are classes themselves — the class of a class that controls how classes are created and behaved.

A directory containing Python modules and an __init__.py file, providing a way to organize and distribute reusable code.

A modern dependency management and packaging tool for Python that simplifies project setup, versioning, and publishing.

Measuring where Python code spends time and memory to identify performance bottlenecks and optimization opportunities.

A built-in decorator that lets you define methods that behave like attributes, enabling controlled access to instance data.

A standard library module providing type hints for function signatures and variables, enabling static analysis without runtime enforcement.

A built distribution format (.whl) that allows faster installation of Python packages by avoiding the need for compilation.

An elegant HTTP library for Python that simplifies making web requests with a human-friendly API.