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.bib
filemini.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.