Jump To: Sessions | References | UI/UX | Code Platforms | Datasets | Dashboards

Sessions:

1. [2023-06-26T10:30(-04:00) ] Event Overview
   • Slide Deck
   • YouTube Video
2. [2023-06-26T15:30(-04:00) ] Team Introductions
   • Slide Deck
   • YouTube Video
3. [2023-06-27T10:30(-04:00) ] Team Goals
   • Google Slides Deck
   • Slides Deck
   • YouTube Video
4. [2023-06-27T15:30(-04:00) ] Team Resources
   • Google Slides Deck
   • Slides Deck
5. [2023-06-29T13:30(-04:00) ] Final Presentations
   • Slide Deck
   • YouTube Video

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Hackathon:

• HackHPC Code of Conduct - http://hackhpc.org/codeofconduct

• HackHPC.org - http://hackhpc.org

• HackHPC Past Hackathon Events - http://hackhpc.org/pasthacks/

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References:

• GitHub Markdown Reference - https://github.github.com/gfm

• Introduction to GitHub - https://lab.github.com/githubtraining/introduction-to-github

• GitHub Tutorial - https://docs.github.com/en/get-started/quickstart/hello-world

• GitHub Pages - https://pages.github.com/

• Students guide to GitHub Pages - https://codeburst.io/how-to-create-and-publish-a-website-a-students-guide-1ffd9fdd6b39

• Liquid - https://shopify.github.io/liquid/basics/introduction/

• Markdown Github Cheatsheet - https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet

• HTML Cheatsheet - https://htmlcheatsheet.com/

• CSS Cheatsheet - https://htmlcheatsheet.com/css/

• Javascript Cheatsheet - https://htmlcheatsheet.com/js/

• YAML Tutorial - https://spacelift.io/blog/yaml

• W3 Font Awesome Brand Icons - https://www.w3schools.com/icons/fontawesome_icons_brand.asp

• Introduction to Version Control - https://swcarpentry.github.io/git-novice/

• Google Bard - https://bard.google.com/

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UI/UX:

• Quick and easy UI tips - https://twitter.com/i/events/968521944004943872

• More UI tips - https://twitter.com/i/events/880688233641848832

• Usability - https://www.nngroup.com/articles/ten-usability-heuristics/

• UX - https://www.learnui.design/blog/4-rules-intuitive-ux.html

• Figma - https://www.figma.com/

• 12 Critical Elements Every Website Homepage Must Have - https://blog.hubspot.com/blog/tabid/6307/bid/31097/12-critical-elements-every-homepage-must-have-infographic.aspx

• Hugo vs. Jekyll: Which is Right for Your Blog? - https://draft.dev/learn/hugo-vs-jekyll

• Docsy Hugo Theme - https://github.com/google/docsy

• Docsy.dev - https://www.docsy.dev/

• Oragami Studio - https://origami.design/

• Jekyll Themes - http://jekyllthemes.org/

• Serving Jekyll site locally - https://docs.github.com/en/pages/setting-up-a-github-pages-site-with-jekyll/testing-your-github-pages-site-locally-with-jekyll

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Coding Platforms:

• Google Colab - https://colab.research.google.com/

• VS Code Source Code Editor and IDE - https://code.visualstudio.com/

• VS Code Intro Videos - https://code.visualstudio.com/docs/getstarted/introvideos

• GitHub Codespaces ([Note:] Codespaces is available for free for individual use for up to 60 hours a month and comes with simple, pay-as-you-go pricing afterwards. (Last Checked 6/21/23 Ref. https://github.com/features/codespaces) - https://github.com/codespaces

• Codespaces Primers and Development Pack - https://education.github.com/experiences/primer_codespaces

• Codespaces Overview - https://docs.github.com/en/codespaces/overview

• Codespace Quickstart - https://github.com/codespaceshttps://docs.github.com/en/codespaces/getting-started/quickstart

• Shutting down / Stopping Codespaces - https://docs.github.com/en/codespaces/developing-in-codespaces/stopping-and-starting-a-codespace

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Computation/Hosting:

• TACC Analysis Portal (TAP) - https://tap.tacc.utexas.edu

• Texas Advanced Computing Center - https://www.tacc.utexas.edu

• Amazon Web Services - https://aws.amazon.com

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Datasets:

• HackHPC Datasets - http://hackhpc.org/data

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Dashboards:

• R for Data Science - R for Data Science. Code in R / concepts useful any language - had.co.nz

• Tidy data for efficiency, reproducibility, and collaboration - openscapes.org

• Tidy data Paper - Original paper by Hadley Wickham (founder of R) who pioneered the concept of tidy data - https://vita.had.co.nz/papers/tidy-data.pdf

• Tidy data - informal and example code heavy (in R) version - tidyverse.org

• Chart Chooser — Juice Analytics - https://www.juiceanalytics.com/chartchooser

• Plotly graphing library - https://plotly.com/python/

• Dash App documentation - https://dash.plotly.com/

• Deploy to Heroku integration from github - https://devcenter.heroku.com/articles/github-integration

• Dash guidance / command line (scroll past Enterprise information to Heroku / free section - https://dash.plotly.com/deployment

• 4 Rules for Intuitive UX - https://www.learnui.design/blog/4-rules-intuitive-ux.html