Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...
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Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.
HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...
Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...