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Meld is a visual diff and merge tool, targeted at developers. It allows users to compare two or three files or directories visually, color-coding the different lines. Meld can be used for comparing files, directories, and version controlled repositories.
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 ...
(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, XPath — Structured Data eXchange Formats: Max ...
share their code, data and models as reusable Python components and automation actions [3] with unified JSON API, JSON meta information, and a UID based on FAIR principles [2] assemble portable workflows from shared components (such as multi-objective autotuning and Design space exploration [4])
RDFLib is a Python library for working with RDF, [2] a simple yet powerful language for representing information. This library contains parsers/serializers for almost all of the known RDF serializations, such as RDF/XML, Turtle, N-Triples, & JSON-LD, many of which are now supported in their updated form (e.g. Turtle 1.1).
YAML version 1.2 is a superset of JSON; prior versions were not strictly compatible. ... Suppose you are using JSON to keep configuration files, which you would like ...
OpenMDAO is an open-source high-performance computing platform for systems analysis and multidisciplinary optimization written in the Python programming language.. The OpenMDAO project is primarily focused on supporting gradient based optimization with analytic derivatives to allow you to explore large design spaces with hundreds or thousands of design variables, but the framework also has a ...
Length-prefixed JSON is also well-suited for TCP applications, where a single "message" may be divided into arbitrary chunks, because the prefixed length tells the parser exactly how many bytes to expect before attempting to parse a JSON string. This example shows two length-prefixed JSON objects (with each length being the byte-length of the ...