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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 unstructured and structured search and routing protocols, emphasizing the importance of network structure assumptions and introducing the 'Bubble Storm' algorithm.
Introduces Jupyter Notebook for composing interactive programs with live code and narrative text, covering installation, code cells, Markdown text, widgets, and kernel management.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
