The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...

In today’s data-driven world, the ability to visualize and interpret complex datasets has become a crucial skill. Businesses, non-profits, and government agencies alike rely heavily on data to make ...

Splunk issued security updates for a critical CVSS 9.8 vulnerability in Splunk Enterprise that allows unauthenticated remote ...

The Cloud SQL Python Connector is a Cloud SQL connector designed for use with the Python language. Using a Cloud SQL connector provides a native alternative to the Cloud SQL Auth Proxy while providing ...

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

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 ...

Building your own AI agent sounds complex? It’s actually easier than you think! Here's a simple example: an AI agent that turns a plain text description into a working SQL query. agent.py — handles ...

This tutorial shows how to provision a SQL (relational) database service, create a table and load a larger data set, city information into the database. Thereafter, we deploy a web app "worldcities" ...

Need help choosing the best Python ORM for your projects? Here's what you need to know about SQLAlchemy, PonyORM, Django ORM, Peewee, SQLObject, and Tortoise ORM. When you want to work with a ...