PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers ...

In this article, authors discuss Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data they need. They also talk about how MCP empowers agent development, ...

Turn your favourite book or document into a podcast with narration, voices, and effects using Google NotebookLM. Here’s how it works.

By leveraging the power of Googles NotebookLM app, you can transform any book into a rich, immersive podcast experience.

Google Gemini's one of the most powerful features is Deep Research, but up until now, it has been strictly limited to the Gemini interface. This could change soon.

Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini ...

Discover how Google’s Trends API gives researchers, journalists, and developers access to search data for deeper insights into global trends.

Google announced the early release of the first API for Google Trends, known as the Google Trends API. Google Trends is a site that analyzes the popularity of top search queries in Google Search ...

At Search Central Live Asia Pacific, Google has just announced that it is launching an API for Google Trends with a five-year rolling window.

To set it up, you’ll need Python, access to a Google Cloud project with specific APIs enabled, and Application Default Credentials that include read-only access to your Google Analytics account.

Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.