Conversation
|
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
Summary of ChangesHello @Giom-V, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request focuses on enhancing the user experience and consistency within the Jupyter notebooks by standardizing how warning messages are displayed. It transitions from verbose HTML table structures to concise Markdown blockquotes, making the warnings easier to read and integrate seamlessly into the notebook content. Additionally, it includes a general cleanup of one notebook's metadata and outputs. Highlights
Changelog
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
There was a problem hiding this comment.
Code Review
This pull request standardizes the presentation of warnings and informational notes across multiple notebooks by replacing HTML table-based badges with a cleaner, more maintainable Markdown blockquote format. This is a positive change that improves the consistency and readability of the source files. Additionally, one notebook has undergone significant formatting cleanup, removing extraneous metadata and standardizing its structure, which is also a welcome improvement. The changes are well-executed and improve the overall quality of the codebase.
No description provided.