Financial data is often trapped inside static PDFs. It forces analysts to copy figures manually while the market moves ahead ...

Real-time payment processing platform with async fraud detection pipeline: rule-based scoring, JGraphT graph anomaly detection (circular flow, hub signals, cluster analysis), and Python ML ...

Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

OfficeCLI is not a Microsoft Office replacement, a Microsoft 365 Copilot feature, or a human-facing office suite. It is a command-line tool that gives scripts and software agents direct control over ...

These are my go-to libraries for Python data crunching.

The new features, including connectors to third-party data sources, are aimed at making the AI assistant more useful for finance professionals.

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

Abstract: Benefiting from the high-temporal resolution of electroencephalogram (EEG), EEG-based emotion recognition has become one of the hotspots of affective computing. For EEG-based emotion ...

Abstract: The use of natural language interfaces (NLIs) to create charts is becoming increasingly popular due to the intuitiveness of natural language interactions. One key challenge in this approach ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...