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Google released a Data Science Agent on the Colab platform on Monday, powered by its Gemini 2.0 AI model. The Data Science Agent is capable of autonomously generating the required analysis of the data file uploaded by the user. It is also capable of creating fully functional notebooks, and not just code snippets.
Google said the agent “removes tedious setup tasks like importing libraries, loading data, and writing boilerplate code”. The agent achieves goals set by the user by “orchestrating a composite flow” which mimics the workflow of a typical data scientist. Users can use the agent to clean data, perform exploratory data analysis, statistical analysis, predictive modeling and other such tasks.
The generated code can be customised and extended to meet users’ needs. Moreover, results can also be shared with other developers on Colab. Google also said that the agent ranked fourth on the DAPStep (Data Agent Benchmark) on HuggingFace, ahead of GPT-4o, DeepSeek-V3, Llama 3.3 70B and more.
The Data Science Agent was launched for trusted testers last December, but is now available on Google Colab. Colab is a free, cloud-based environment where Python code can be written and run within the web browser. It also provides free access to Google Cloud GPUs and TPUs.
“We want to simplify and automate common data science tasks like predictive modelling, data preprocessing, and visualisation,” Google said.
Recently, Google also announced the public preview of Gemini Code Assist, a free AI-powered coding assistant for individuals. The tool is globally available and supports all programming languages in the public domain.
It is available in Visual Studio (VS) Code and JetBrains IDEs, as well as in Firebase and Android Studio. Google also said the AI coding assistant offers “practically unlimited capacity with up to 1,80,000 code completions per month”.
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