Venn diagrams

I found the following resources really helpful with boolean operators and Venn diagrams.

Snarky Math (Director). (2021, October 21). Can you draw a Venn diagram for 4 sets? | Why Venn diagrams are not easy [Streamed]. Snarky Math. https://youtu.be/IekSOZIF5uI

Student Contributors The University of Edinburgh School of Informatics. (n.d.). Better Informatics. Betterinformatics.com. Retrieved November 10, 2024, from https://betterinformatics.com/resources/inf1-cl/venn/

This one allows prime sets: https://statpowers.com/venn.html

The University of Edinburgh School of Informatics. (n.d.). Venn Diagrams. The University of Edinburgh School of Informatics Teaching Aids. Retrieved November 10, 2024, from https://www.inf.ed.ac.uk/teaching/courses/inf1/cl/tools/venn/

I haddn't really thought about what they represent or the appropriateness of their use. https://www.sciencedirect.com/science/article/abs/pii/B9780444529374500113 https://blog.jooq.org/say-no-to-venn-diagrams-when-explaining-joins/ https://github.com/tctianchi/pyvenn This python lib is interesting for generating visualizations if they are accurate. I used an inaccurate visualization in my presentation on OLAC roles. Maybe this could be added to django to update automatically. https://www.sciencedirect.com/topics/mathematics/venn-diagram https://www.dubberly.com/concept-maps/visualizing-venn-diagrams.html

Python + Mysql

https://realpython.com/python-mysql/

https://dev.mysql.com/doc/connector-python/en/preface.html



https://www.geeksforgeeks.org/working-with-pdf-files-in-python/
https://www.geeksforgeeks.org/extract-text-from-pdf-file-using-python/
https://qxf2.com/blog/extracting-data-from-pdfs-python/


https://www.metachris.com/pdfx/
https://softwarerecs.stackexchange.com/questions/76210/software-to-extract-the-list-of-references-and-title-from-a-pdf-of-a-research-pa
https://pypi.org/project/refextract/
https://stackoverflow.com/questions/62365767/extract-references-from-pdf-python
https://discuss.python.org/t/pdf-extraction-with-python-wrappers/40384

Font queries

What do I want to do?

In the context of a pipeline I want to test a font against an known orthography version to know if it will support the orthography.

To that end here is a start:

https://stackoverflow.com/questions/4458696/finding-out-what-characters-a-given-font-supports

Another interesting site is: https://fontdrop.info/. It provides information from the metadata. Is list the languages it supports. But I wonder, what does "language support" or "supported languages" mean in these contexts? Where do the list of languages come from? Where are these languages' requirements cataloged?

Topic Modeling in Python

What if my import pd data array was the OLAC metadata schema?

https://www.semanticscholar.org/paper/A-Gentle-Introduction-to-Topic-Modeling-Using-Saxton/38742c56eadfdf11fb7218f7702c8fccfc78bd95

https://gist.github.com/umbertogriffo/5041b9e4ec6c3478cef99b8653530032

https://towardsdatascience.com/contextualized-topic-modeling-with-python-eacl2021-eacf6dfa576

Beginners Guide to Topic Modeling in Python

How to Use Bertopic for Topic Modeling and Content Analysis?

https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/08-Topic-Modeling-Text-Files.html

https://asandeepc.bitbucket.io/courses/inls613_summer2019/lectures/08-lda_topic_modeling.pdf

http://derekgreene.com/slides/topic-modelling-with-scikitlearn.pdf

https://ourcodingclub.github.io/tutorials/topic-modelling-python/

https://stackabuse.com/python-for-nlp-topic-modeling/

https://www.toptal.com/python/topic-modeling-python

https://towardsdatascience.com/end-to-end-topic-modeling-in-python-latent-dirichlet-allocation-lda-35ce4ed6b3e0

Platform tools for OAI harvesting

So, in recent OLAC presentation I talked about enabling Omeka or Drupal via recipes for OAI harvesting. Here is some links to internet chatter on these issues.

Koha

enable Items in KOHA OAI Harvesting

https://koha-community.org/manual/18.05/en/html/webservices.html

https://forums.zotero.org/discussion/38956/export-of-zotero-citation-to-marc-format-for-import-into-koha-lms

wordpress

Day 13: Harvest data with OAI-PMH

WordPress and Drupal

https://acrl.ala.org/techconnect/post/creating-an-oai-pmh-feed-from-your-website/

eHive

https://developers.ehive.com/

Catmandu

https://librecatproject.wordpress.com/tutorial/

Omeka
https://omeka.org/classic/docs/Plugins/OaiPmhRepository/

MOAI
https://pypi.org/project/MOAI/

PyOAI
https://pypi.org/project/pyoai/