Excel is my database, Python is my brain.

Abstract: Temporal graphs are commonly used to represent complex systems and track the evolution of their constituents over time. Visualizing these graphs is crucial as it allows one to quickly ...

Opentrons' new simulation tool lets researchers visually inspect and step through AI-generated robotic protocols before ...

Abstract: Degree centrality (DC) is a widely used metric that measures node importance in data space. A node–link diagram is a commonly used graph visualization to help viewers identify important ...

Microsoft Sentinel adds custom graphs to visualize security data and attack relationships. Graph-based analysis helps detect threats, map attack paths, and identify anomalies. Fabric-powered ...

The strategic integration combines Cognite’s Industrial Knowledge Graph and AI agents with NVIDIA’s time-series AI model to ...

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

📢 [2026/02] CTINexus was presented as a tutorial at the PRISM Workshop (Co-located with NDSS). 📦 [2025/10] CTINexus Python package released! Install with pip install ctinexus for seamless ...

DAG + agua. Directed acyclic graphs + water. Named after the Dagua River in Colombia — a river flows downhill (like a DAG), never cycles back (acyclic), and finds its own path through the landscape ...