Google’s data science agent does just that: The new, free, Gemini 2.0-powered AI assistant that automates data analysis is now available to users age 18-plus in select countries and languages.

The results shown here are based on osl-ephys 2.1.0, mne 1.3.1, fslpy 3.11.3, and Python 3.8.16. 3.1 Batch preprocessing. Listing 2 shows how the preprocessing pipeline is setup in the __main__ body ...

scikit-learn is a versatile Python machine-learning library that offers simple and efficient tools for data mining and analysis. It provides a wide range of algorithms for classification, regression, ...

1. Ask the right questions. Effective problem-solving with data isn't a one-size-fits-all solution. Crafting relevant questions is pivotal, contingent on your industry niche.

It allows the users to execute SQL queries directly inside the notebook environment. This functionality eliminates the need for external interfaces, which is useful for data scientists using databases ...

ESET Research releases IPyIDA 2.0, a Python plugin integrating IPython and Jupyter Notebook into IDA to help researchers solve reverse engineering problems.

I tried creating and registering Data Assets by using the SDK v2 within the Job code. This works, but has the disadvantage that the Data Asset will not have the metadata of the Job that created it. It ...