This is an unofficial version of the Python glossary (see here) that's meant for average Python users. You can think of this as a sort of Python jargon file. The below terms are colloquial and some of them are completely absent from Python's documentation. All Python Terminology Looping ...
According to Python’s official glossary of terms, the EAFP coding style has the following definition: Easier to ask for forgiveness than permission. This common Python coding style assumes the existence of valid keys or attributes and catches exceptions if the assumption proves false. This clean ...
当您需要定义一组[不可变的](https://docs.python.org/3/glossary.html#term-immutable)和[离散的](https://en.wikipedia.org/wiki/Continuous_or_discrete_variable#Discrete_variable)相似或相关的常量值时,枚举就派上了用场,这些常量值在您的代码中可能有语义意义,也可能没有。 一周中的日子、一年中的月份...
A function composed of multiple functions implementing the same operation for different types. Which implementation should be used during a call is determined by the dispatch algorithm. See also the single dispatch glossary entry, the functools.singledispatch() decorator, and PEP 443. GIL See global...
Toolkit Version 2024.2 Introduction Getting Started with OpenEye Python Informatics and Modeling Toolkits OpenEye Glossary of Terms Bibliography All OpenEye Documentation » Contents » OpenEye Toolkits 2024.2.1 OpenEye Toolkits 2024.2.1Toolkit Version 2024.2 Introduction ...
Python Glossary Concise explanations of fundamental Python concepts and terminology. View 74 Terms » Python Keywords Special reserved words that have specific meaning in Python code. View 35 Terms » Python’s Built-in Data Types Fundamental building blocks used to store and manipulate ...
A function composed of multiple functions implementing the same operation for different types. Which implementation should be used during a call is determined by the dispatch algorithm. See also the single dispatch glossary entry, the functools.singledispatch() decorator, and PEP 443.generic...
Pythons vast ecosystem of tools, modules, and extensions support DataOps initiatives by dramatically simplifying data movement and processing. The CData Python Connectors fill a critical gap in Python tooling by providing consistent connectivity with data-centric interfaces to hundreds of different SaaS/...
(string) # 建立键-值对 for term in get_glossary(rconf.get(section, "all_terms")): wconf_pull(current_file_path, wconf) wconf.set(section, term, ' ') wconf_push(current_file_path, wconf) # 写入每区开末尾的注释 if ("desc_" + section + "_2") in descriptions: string = ...
and you have a recipe for success in the ai realm. while every effort has been made to ensure accuracy, this glossary is provided for reference purposes only and may contain errors or inaccuracies. it serves as a general resource for understanding commonly used terms and concepts. for precise...