AI agent exploited Salesforce sites; 263 objects, 55 Apex methods exposed at one portal, leading to PII and file leaks.

I ditched my terminal for Claude's built-in code executor, and I'm not going back.

Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows. Performance differences matter most, with Polars and DuckDB outperforming Pandas on large datasets. Modern ...

High-value organizations located in South, Southeast, and East Asia have been targeted by a Chinese threat actor as part of a years-long campaign. The activity, which has targeted aviation, energy, ...

Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.

Understand the core components of a modern data pipeline. Learn how to use Python libraries like Pandas and Airflow for automation. Discover best practices for error ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

This package enables Python applications to connect to the Teradata Database. This package implements the PEP-249 Python Database API Specification 2.0. This package requires 64-bit Python 3.7 or ...

End‑to‑End DWBI Project Overview Built a scalable, maintainable pipeline—from data modeling through synthetic data generation and automated Snowflake ingestion ...