Jump To: Sessions | References | Datasets | Dashboards

Sessions:

1. [May 9, 2023 ] Team Creation and Introductions
   • Teams Slide Deck
   • Docs Link
2. [May 9, 2023 ] Computational Thinking
   • Slides
3. [May 9, 2023 ] Hi I'm Joe
   • Slides
   • Code
4. [May 10, 2023 ] Poor Jane knows Joe
   • Slides
   • Code
   • Hand Coded Joe (That Jerk)

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References:

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

• Minority Serving - Cyberinfrastructure Consortium, MS-CC - https://www.ms-cc.org/2023-annual-meeting#h.h3rnrkpqy6

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

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

• HackHPC.org - http://hackhpc.org

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

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

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

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

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