Search results
Results from the WOW.Com Content Network
The North American Numbering Plan (NANP) divides the territories of its members into geographic numbering plan areas (NPAs). Each NPA is identified by one or more numbering plan area codes (NPA codes, or area codes), consisting of three digits that are prefixed to each local telephone number having seven digits.
The prefix Py-is used to show that something is related to Python. Examples of the use of this prefix in names of Python applications or libraries include Pygame, a binding of Simple DirectMedia Layer to Python (commonly used to create games); PyQt and PyGTK, which bind Qt and GTK to Python respectively; and PyPy, a Python implementation ...
The .NET Persistence API, also referred to as NPA, is a persistence and object–relational mapping (ORM) specification for the .NET framework. [1] NPA is based on the Java Persistence API (JPA), which is the standard persistence API in the Java world. NPA follows JPA by providing a complete persistence API and a rich set of ORM features. [2] [3]
NANP telephone numbers are usually rendered as NPA-NXX-XXXX or (NPA) NXX-XXXX. For example, 250 555 0199, a fictional number, could be rendered as 250-555-0199, (250) 555-0199, 250-5550199, or 250/555-0199. The parentheses were originally used to indicate that the area code was not necessary for local dialing.
Thus, NXX is a number from 200 through 999, while XXXX is a range from 0000 through 9999. The first three digits of a telephone number are the numbering plan area code (NPA code, or simply NPA). The next three, NXX, identify the central office and the last four digits are the line number of an individual office.
As released by NANPA, the reports for individual NPA exhaust are sorted by physical location, area code, and exhaust date; also included is information from previous NRUF reports (for the previous six reports), as well as a change from the previous report in terms of a given NPA's exhaust date.
Major changes in OpenAPI Specification 3.1.0 include JSON schema vocabularies alignment, new top-level elements for describing webhooks that are registered and managed out of band, support for identifying API licenses using the standard SPDX identifier, allowance of descriptions alongside the use of schema references and a change to make the ...
The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [4]