textract VS algorithms

Scan the text inside the .pdf file, and check for any string that matches the pattern of a DOI or an arXiv ID. The text is extracted with PyPDF2 and textract.

And here are some libraries that might pique your interest although they don't strictly answer your question: - tqdm for adding a progress bar on for loops (it comes with useful information like iteration per second and estimated time needed to finish) - alive_progress adds a progress bar like tqdm, but it works even with generators and while loops which I don't think tqdm does. -timebudget, with just a decorator as soon as a function is completed it prints the time taken to execute it - send2trash for sending files to the trash bin instead of permanently deleting them - keyboard for sending keyboard inputs or check if a key is pressed - mouse same as keyboard but with mouse buttons - textract for extracting text from many types of file with a single interface. It supports documents, powerpoint presentations, csv, excels, images, gifs, audio, and many more

Huh. Must have made a mistake posting the original link. Anyway, this is what I meant: https://textract.readthedocs.io

Here are some that might answer your question: - algorithms is a library which contains many of the most useful algorithms for sorting, searching, working with trees, math algorithms like factorials, prime finders and many more - data classes to save you the trouble of writing everytime special methods in a class like init, repr, set, get - box allows the use of dot on dictionaries to access the keys - more-itertools for more routines to operate on iterables than those itertools provide.