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AKjDPG: Arbeitskreis junge DPG

AKjDPG 5: Hacky Hour - part 1 (joint session AGI/AKjDPG)

AKjDPG 5.2: Vortrag

Donnerstag, 14. März 2019, 11:30–12:30, U SR 124

Scientific writing made faster with automated download of LaTeX sources from arXiv — •Wojciech Rzadkowski — Institute of Science and Technology Austria (IST Austria), Am Campus 1, 3400 Klosterneuburg, Austria

Very often, when writing, especially revievs, proposals and the like, one needs to insert known equations into the LaTeX text, either as they are or with slight modifications. This task could become tedious when the equations are long.

On the other hand, ArXiV provides access to the LaTeX source files, enabling direct copying of equations when they are part of a preprint, which is very often the case. However, this process can be a bit tedious, given that one needs to go to the Arxiv website, manually click a few times to choose the source download and finally uncompress the downloaded file. This can practically make rewriting an equation faster than copying from existing literature.

In my talk, I shall introduce a very simple command-line script written in Python that automates download and uncompressing of LaTeX sources, hence offering a speedup for a user needing to rewrite a large equation or use the source in another way. The script works on Unix-like systems and is available at github.com/wrzadkow/arxivdwnld.

As a bonus, one can use to script to easily extract the comments, which sometimes contain some information overlooked by the authors, look for example here: https://twitter.com/QuantPhComments