Scripts to process the RICO dataset, used for a CHI '20 paper.
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Updated
Feb 21, 2021 - Python
Scripts to process the RICO dataset, used for a CHI '20 paper.
Comprehensive product analysis and recommendation system with JSON data processing, visual analytics, and machine learning.
A new package that provides a structured and reliable way to process user input related to common developer utilities such as JSON, Base64, URL, and hash operations. It uses an LLM to interpret user r
Python backend project focused on data processing and automation. Includes a modular architecture, a full CLI interface, JSON merging workflow, data validation, logging system, and reporting tools. Designed as a real backend pipeline for inventory updates and transformations.
A robust ETL pipeline using n8n and Python to sanitize raw JSON data, demonstrating hybrid low-code orchestration with custom script-based data transformation.
Examples on how to process json files in Python
A lightweight toolkit for sanitizing, masking, and safely encoding user input across multiple languages.
A Python-based automation tool that monitors real-time weather data and sends smart notifications for rain alerts using external APIs.
Analytical system for consolidating and processing personal financial data. Utilizes Pandas for transaction analysis and integrates with the Central Bank of Russia API.
🛠️ Process user input with ease using this Python package for JSON, Base64, URL, and hash operations, ensuring reliable and validated outputs.
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