Explore projects
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This week we will consider the design of some classic algorithms for the first hour and then get started on a mini-project modelling ash fallout from the atmosphere as a particle problem. The write-up of this practical will be a formative assessment.
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Worked solutions for the class exercises from Session 4.
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These supplementary notebooks show you some simple plotting and how to plot on maps. The homework this week will be making some flowcharts to think about project design.
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Supplementary notebooks on the use of Markdown in Jupiter notebooks and on scraping data from the web.
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Johnny Tam / sCJDSurv
BSD 3-Clause "New" or "Revised" LicensesCJDSurv - Interpretable deep learning survival predictions in sporadic Creutzfeldt-Jakob Disease
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The Python programming component of the Programming and Data Analysis (2nd Year) course.
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The Python programming component of the Programming and Data Analysis (2nd Year) course.
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The Python programming component of the Programming and Data Analysis (2nd Year) course.
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digital-skills / python-data-science
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s1894019 / python-data-science
MIT LicenseUpdated -
sgrannem / pyRBDome-Notebooks - RBS-ID analysis results
Apache License 2.0Jupyter notebooks for performing the entire pyRBDome analyses.
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sgrannem / pyRBDome-Notebooks - Ground truth analyses
Apache License 2.0Updated -
sgrannem / pyRBDome-Core
Apache License 2.0All the code needed to run the notebooks in the pyRBDome pipelines
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