Introduction to Python Glossary
The Python glossary is a comprehensive resource that defines various terms used in the Python programming language. It is an essential tool for both beginners and experienced developers, providing a deeper understanding of the language's concepts and terminology.
Key Terms
The following are some key terms in the Python glossary:
- Abstract Base Class: a class that cannot be instantiated and is used to define an interface or a base class for other classes.
- Annotation: a label associated with a variable, class attribute, or function parameter, used to provide type hints or other metadata.
- Argument: a value passed to a function or method when it is called.
- Asynchronous Context Manager: an object that controls the environment seen in an
async with statement.
- Awaitable: an object that can be used in an
await expression.
Programming Concepts
The glossary also covers important programming concepts, such as:
- Binary File: a file object that can read and write bytes-like objects.
- Bytecode: the internal representation of a Python program in the CPython interpreter.
- Callable: an object that can be called, possibly with a set of arguments.
- Callback: a subroutine function that is passed as an argument to be executed at some point in the future.
Object-Oriented Programming
The glossary defines several terms related to object-oriented programming, including:
- Class: a template for creating user-defined objects.
- Class Variable: a variable defined in a class and intended to be modified only at class level.
- Instance Variable: a variable defined inside a class and associated with each instance of the class.
Asynchronous Programming
The glossary covers several terms related to asynchronous programming, including:
- Asynchronous Generator: a function that returns an asynchronous generator iterator.
- Asynchronous Generator Iterator: an object created by an asynchronous generator function.
- Asynchronous Iterable: an object that can be used in an
async for statement.
Additional Resources
For more information on these topics, see the following resources:
By understanding the terms and concepts defined in the Python glossary, developers can improve their skills and write more effective, efficient, and readable code.
