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Short counts of 24–27 indicate the count value is in a following 8, 16, 32 or 64-bit extended count field. Values 28–30 are not assigned and must not be used. Types are divided into "atomic" types 0–1 and 6–7, for which the count field encodes the value directly, and non-atomic types 2–5, for which the count field encodes the size of ...
JMESPath [8] is a query language for JSON with features that go far beyond JSONPath. It has a specification, a compliance test suite, and multiple implementations in various languages. It has a specification, a compliance test suite, and multiple implementations in various languages.
This is a high performance, typesafe numerical array set of classes and functions for general math, FFT and linear algebra. The library, developed for .NET/Mono, aims to provide 32- and 64-bit script-like syntax in C#, 2D & 3D plot controls, and efficient memory management. It is released under GPLv3 or commercial license. [10]
Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.
YAML version 1.2 is a superset of JSON; prior versions were not strictly compatible. For example, escaping a slash / with a backslash \\ is valid in JSON, but was not valid in YAML. [ 46 ] YAML supports comments, while JSON does not.
Requests is an HTTP client library for the Python programming language. [2] [3] Requests is one of the most downloaded Python libraries, [2] with over 300 million monthly downloads. [4] It maps the HTTP protocol onto Python's object-oriented semantics. Requests's design has inspired and been copied by HTTP client libraries for other programming ...
Regular expression (Perl compatible regular expressions ("PCRE") version 8.41 with UTF-8 support) [6] An important differentiator to JSON is that BSON contains types not present in JSON (e.g. datetime, byte array, and proper IEEE 754 floats) and offers type-strict handling for several numeric types instead of a universal "number" type.
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]