Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
An interactive front-end toolkit simplifying JSON, YAML, TOML, and XML data. Visualize, edit, convert formats, and perform real-time data manipulations. Empower your data-driven apps with user-friendl...
#前端开发#JSON processor for web use (jq port)
Command line processor for YAML/JSON files using Jsonnet
Data-Splitter is a Python script designed to split a large CSV file containing data into three different formats: JSON, a database table, and another CSV file. The script ensures a random distribution...
Scripts to process the RICO dataset, used for a CHI '20 paper.
Demonstrates how to validate JSON documents against JSON schemas using Justify.
An automated system for processing customer orders from JSON input, validating data, and synchronizing with a database while managing errors and outputs.
JSON 포멧(string, []byte)의 데이터를 golang 의 특정 struct 또는 map[string]interface{} 형태로 변환하여 동적으로 속성을 가공 가능하도록 도와줍니다.
#自然语言处理#Midterm and Final assignments of the course "Big Data Mining (52002)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science. Focuses on analyzing massive datasets us...
A flexible JSON transformation toolkit designed to standardize and restructure JSON data for seamless XML conversion, addressing the strict ordering requirements of SOAP-based services. Perfect for en...
Simple XMLInputFactory implementation on top of JSON; just enough for Sprox (Java)
#自然语言处理#The dnkscr function is a part of the DropSuit NLP library, it's a JavaScript and Node.js function that extracts derivative nouns from a given input string or json object and returns the count of score...
Tasks from my course Spring Data at SoftUni
The dersnt is a function in the DropSuit NLP library for JavaScript and Node.js. It processes default object instances and returns derivative sentences, concatenated strings of words, and arrays of se...
Backend API for the Bajaj Finserv Health Challenge, built with Express to process and filter JSON data, and deployed on Render
Examples on how to process json files in Python