Python print() statements: part 4 f-strings

I am assuming you have followed the previous tutorials in this short series on how to manipulate Pubmed references using Python (1, 2, 3, 4, 5). We have cleaned the references and had a user select the references that are to be kept. These files are now located in refs_keep.txt. The last thing that we have to do is extract
Read moreI am assuming you have followed the previous tutorials in this short series on how to manipulate Pubmed references using Python (1, 2, 3, 4). We have cleaned up the references by removing unwanted fields and ensuring sections like the abstract are not split over multiple lines. The cleaned references are saved in a text file cleaned_pubmed_refs.txt. We are now
Read moreI am assuming you have followed the previous tutorials in this short series on how to manipulate Pubmed references using Python (1, 2, 3). You should have a list variable called refs4 in your Python console that contains the cleaned references. Because we will be working with this cleaned version of the references from now on, it would be a
Read moreI am assuming you have followed the first and second tutorial in this short series. You should now have a list variable called refs2 in your Python console. If you inspected the first item in refs2 list, you will notice that it specifies the journal, volume and page information for the first reference. 1 ‘1. J Neurosci. 2015 Dec 9;35(49):16159-70.
Read moreIn the previous post, I explained how I recently had to sort through PubMed references to extract email addresses. As part of the tutorial, I had you download a sample text file containing 14 references, and we read the content of this file in Python. We are now going to continue cleaning the references to have them in a standardized
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