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Dask Bag is used to parallelize computation of semi-structured or unstructured data, such as JSON records, text data, log files or user-defined Python objects using operations such as filter, fold, map and groupby. Dask Bags can be created from an existing Python iterable or can load data directly from text files and binary files in the Avro ...
(JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id/ref, XPointer, XPath: WSDL, XML schema: DOM, SAX, XQuery ...
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. [46] [44] [21]
Pipelines are represented in code as yaml [29] configuration files. These files define the stages of the pipeline and how data and information flows from one step to the next. When a pipeline is run, the artifacts produced by that pipeline are registered in a dvc.lock file. [30]
The SPDX 2.x standard defines an SBOM document, which contains SPDX metadata about software. The document itself can be expressed in multiple formats, including JSON, YAML, RDF/XML, tag–value, and spreadsheet. Each SPDX document describes one or more elements, which can be a software package, a specific file, or a snippet from a file.
2023-11-11 2.15.4 [2] Bcfg2: Python BSD 2-clause [3 ... Modules work over JSON and standard output and can be written in any language. Uses YAML to express reusable ...
yangson is a Python 3 library for working with JSON encoded configuration and state data modeled using the YANG data modeling language. YANG Tools is an OpenDaylight Project toolset written in Java; Yang-Explorer - is a pyang-based Yang Browser and RPC Builder Application
Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...