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Scikit-learn 1.9.0 enhances dataframe interoperability with new Narwhals dependency

By PulseAugur Editorial · [1 sources] ·

Scikit-learn version 1.9.0, released on June 2, 2026, introduces significant changes beyond a typical update. A key development is the addition of Narwhals as a dependency, aimed at enhancing interoperability across various dataframe libraries. This version also extends support to Python 3.11 through 3.14, providing a more modern runtime environment. Developers are advised to carefully check compatibility for their machine learning pipelines, as this update impacts the broader ecosystem of tools like NumPy, SciPy, and joblib. AI

IMPACT Enhances compatibility for ML pipelines by improving dataframe interoperability.

RANK_REASON Software library update with dependency changes and feature enhancements.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Scikit-learn 1.9.0 enhances dataframe interoperability with new Narwhals dependency

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  1. dev.to — LLM tag TIER_1 English(EN) · QAPulse by SK ·

    Scikit-learn 1.9.0: DataFrame Interoperability Gets a New Foundation

    <p><strong>Scikit-learn 1.9.0</strong> is more than a routine machine-learning library update. Released on June 2, 2026, this release introduces an important dependency change with <strong>Narwhals</strong>, expands dataframe interoperability, and supports Python 3.11 through 3.1…

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