π Free & Relevant Books for Data Science (2025) π
Want to sharpen your Python & DS skills without outdated material? Here are some modern, still-relevant free books π
1οΈβ£ Python Data Science Handbook β Jake VanderPlas
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https://jakevdp.github.io/PythonDataScienceHandbook Core libs: NumPy, Pandas, Matplotlib, Scikit-Learn. Updated + interactive notebooks.
2οΈβ£ Python for Data Analysis (3rd Ed.) β Wes McKinney
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https://github.com/wesm/pydata-book By the creator of Pandas. Modern data wrangling & cleaning.
3οΈβ£ Dive into Deep Learning (
D2L.ai)
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https://d2l.ai Hands-on deep learning with PyTorch & TensorFlow. University-level, interactive.
4οΈβ£ Minimalist Data Wrangling with Python (2023) β Marek Gagolewski
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https://arxiv.org/abs/2211.04630 Practical workflows for real-world messy data.
5οΈβ£ Machine Learning with PyTorch & Scikit-Learn β Raschka et al.
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https://github.com/rasbt/machine-learning-book End-to-end ML with clean, modern Python code.
β¨ Start with VanderPlas & McKinney for core skills, then move to Raschka/D2L for ML.