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Woow Google has just transformed data analysis Gemini in Colab can now plan, analyze, visualize and write Python code autonomously. This dataset of over 65,000 rows was processed without a hitch 🔥 More below

Paul Couvert

221,003 subscribers

115,633 次观看 • 1 年前 •via X (Twitter)

科学技术教育健康养生

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Paul Couvert 的头像

Paul Couvert1 年前

1. Open a new Google Colab In the top right-hand corner, click on the Gemini icon to open the sidebar.

Paul Couvert 的头像

Paul Couvert1 年前

2. Upload your dataset Add your dataset (no matter how big!) and type in the final goal you want Gemini to achieve.

Paul Couvert 的头像

Paul Couvert1 年前

3. Approve the plan Gemini will propose a plan for processing your data and reaching the goal. Click on "Execute plan" and confirm.

Paul Couvert 的头像

Paul Couvert1 年前

4. Leave it to Gemini Step by step, Gemini will process your data... Writing all the necessary code, fixing errors and so on!

Paul Couvert 的头像

Paul Couvert1 年前

5. Enjoy! It's already finished! You can now enjoy the results, including the charts if you've asked for data visualization.

Paul Couvert 的头像

Paul Couvert1 年前

Official Google blog post for this new agent →

Polygon.io 的头像

Polygon.io1 年前

Learn how to access market data using Polygon's Stock API and the Python programming language.

Max Navarrette 的头像

Max Navarrette1 年前

Gemini in Colab is so smart it probably just analyzed my grocery list and visualized my snack preferences. 65,000 rows of chips and chocolate, anyone? 😂

Paul Couvert 的头像

Paul Couvert1 年前

The context window should be enough in this case haha

Florian Camiade 🗝️ 的头像

Florian Camiade 🗝️1 年前

Cool but Bard is better

Paul Couvert 的头像

Paul Couvert1 年前

Forever in our hearts 🫡

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