Introduction
Learning Jupyter AI
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What you should know
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1. Introduction to AI in the Jupyter Ecosystem
Notebooks as IDE in data science and machine learning
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The Jupyter ecosystem
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Generative AI for coding assistance
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What is Jupyter AI?
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2. Setting Up Your Jupyter AI Environment
Launching and managing JupyterLab environments
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Jupyter AI model providers
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Launching JupyterLab and Jupyter AI in an Anaconda environment
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Setting up Jupyternaut and exploring JupyterLab interface
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3. Using the Jupyter AI Chat Interface (Jupyternaut)
Generating code snippets
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Explaining code and concepts
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Building contextual knowledge in Jupyter AI
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Generating full notebooks from prompts
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4. Using Magic Commands for AI Assitance in Jupyter AI
Intro to AI magic commands in notebooks
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Using AI magic commands in Jupyter AI
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5. Final Project
Challenge: Integrate Jupyter AI into notebook workflow
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Solution: Integrate Jupyter AI into notebook workflow
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Conclusion
Next steps on using AI in notebooks
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Ex_Files_Enhancing_Notebook_Jupyter_AI.zip
(266 KB)