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Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
Covers the introduction to MATLAB tools and provides installation instructions for Thermodynamics-based Flux Analysis, including pre-requirements like GIT and CPLEX.