Understanding Atmospheric Chemistry using graph-theory, visualisation and machine learning.
Publication / Download: https://etheses.whiterose.ac.uk/28367/
python compile.py thesis.tex && open thesis.pdf
clean.py: removes aux filesgit.py: pushes an update to git with message as argumentreference_check.py: locates missing citations from bibtexcompile.py: compiles the pdfglossary.py: generates the glossarytitleify.py: replaces each title with title caseflatten.py:makeindex.py: creates the index (NLP chapter keyword summary)getbib.py: generates a combigned and checkedbibligoraphy.bibfilemini.py:./findline: runs a grep command on the argumentswarning.txt: output of compile containing things that need fixingdiff.py: gets the diff for files between both branches using gitdiff. This is then parsed, filtered and converted to markdown. Eventually the markdown becomes a .pdf within the diff directory.