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HandcartCactus/README.md

HandcartCactus

I have an educational background in Mathematics and Systems Engineering. For work, I find elegant and efficient ways to manage and understand unreasonably large and complex data.

My most popular open source project is Obsidian: Remove Newlines, a plugin for the note-taking application Obsidian.md that fixes a common issue with copy-pasted text. To date, I estimate it has a few thousand users. It is written in Typescript.

I also contribute to open source. I have made minor contributions to various projects I use (Python docs, Canvas API wrapper, etc), mostly to fix pain points I experience.

I have a few interesting projects laying around:

  • Kibsu, a high-level HTML content extractor that seeks general patterns (e.g. "collection of links with dates and titles") and does not require knowledge of a page's low-level HTML structure. This solves the problem of writing one-off parsers for every site, and can be deployed against multiple sites. See Demo: Scraping Senate Press Releases
  • PyGander, a collection of utilities created for rapid prototyping of data solutions on Kaggle.
  • "Open Previous Page In New Tab", a small Firefox plugin that does what it says on the tin.

Pinned Loading

  1. obsidian-remove-newlines obsidian-remove-newlines Public

    A plugin for Obsidian.md which removes newlines and blank lines from selected or pasted text.

    TypeScript 22

  2. open-previous-page-in-new-tab open-previous-page-in-new-tab Public

    A small firefox extension. Does what it says on the tin.

    JavaScript

  3. resume-tailoring-tool resume-tailoring-tool Public

    A tool to tailor your résumé to a job description. Live at https://resumetool.eliasjaffe.com/

    Vue

  4. Kibsu Kibsu Public

    Kibsu is an experimental high-level HTML/XML scraping framework in Python that allows you to scrape with semantics, not `divs` and classes!

    Jupyter Notebook

  5. The-Modeler-Manifesto-Model-Card The-Modeler-Manifesto-Model-Card Public

    A model card inspired by Derman & Wilmott's "Modelers' Hippocratic Oath", adapted for responsible and nuanced ML.