#2323rd of 33 in Learning and cookbooks
cookbook
Jupyter notebook tutorials for the Gemini API, from basics to Live API and agents
- Stars
- 17.8k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Language
- Jupyter Notebook
Missed the latest GitHub check; these facts may be older.
Overview
Official Google collection of Colab-ready notebooks for the hosted Gemini API. Quickstarts cover prompting, thinking levels, TTS, Live API, transcription, image, video and music generation, grounding, code execution, File Search and an Agents API. A separate Examples folder combines several features into larger use cases.
Who it is for: Developers learning to build on the Gemini API
Strengths
- Maintained by Google; notebooks track new Gemini models and API features
- Each quickstart has an Open in Colab link, so no local setup is required
- Covers many modalities: text, speech, Live API, image, video, music, transcription
- Apache-2.0 licensed with separate Quickstarts and Examples sections
Weaknesses
- Requires a Google account and a Google AI Studio API key
- All examples call the hosted Gemini API; nothing runs locally
- Gemma and end-to-end demos live in separate repositories
- Notebooks are tied to current Gemini model names and may go stale
What it needs
- no GPU
- Needs Gemini API key (Google AI Studio), Google account, Google Colab (optional)
- Models: Gemini, Veo, Lyria, Nano-Banana
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