Google Agent Development Kit brings Python to AI agents

Python continues to dominate the data science and machine learning landscape, and now it’s stepping into the world of AI agents with the new Google Agent Development Kit. This toolkit allows Python and Java developers to build AI agents with minimal hassle, supporting a wide range of LLMs, including custom models.

Key Highlights from The Python Report

1. Google Agent Development Kit

• Empowers Python developers to create AI agents efficiently.
• Supports integration with preferred LLMs, including self-hosted models.
• A tutorial walks users through the setup process.

2. Python 3.14 Introduces Lazy Annotations

• Type hints are now lazy by default, eliminating the need to define types beforehand.
• Watch a live example of lazy annotations in action.

3. Lost Chapter of ‘Automate the Boring Stuff with Python’

• Al Sweigart’s unpublished chapter on multimedia in Python is now available online.

4. PhotoshopAPI: Open Source Python Library

• A new C++ library enables Python users to manipulate Photoshop files programmatically.
• Offers faster performance than Photoshop’s native API, though some features are still in development.

5. CPython’s JIT Compiler: Two Years Later

• Ken Jin, a lead developer, reflects on the progress and challenges of CPython’s JIT Compiler in this insightful article.
• Discusses why performance gains haven’t yet met expectations.

Why This Matters

Python’s versatility is expanding into AI agent development, making it easier for developers to integrate advanced AI capabilities into their projects. Meanwhile, updates like lazy annotations in Python 3.14 and tools like PhotoshopAPI highlight the language’s ongoing evolution.