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ResBaz Arizona 2021 HackMD Directory

This document contains a list of all HackMDs[1] created during the ResBaz Arizona 2021 Virtual Conference.

Main Research Bazaar Arizona 2021 Website

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Twitter hash tag: #resbaz2021

Conference Code of Conduct

ResBaz Code of Conduct. To report a breach of the Code of Conduct, send an e-mail to resbazaz@gmail.com

Note: For the Zoom password check the email you registered with.

Solutions to common problems

Solutions to Common Problems

Note: Feel free to add your own solutions to help others.

Session Feedback Form

All times are in Mountain Standard Time (Arizona time). See Zoom links section above for room links

Monday, May 17th, 2021

9:00-10:00 Panel: What is Data Science? (Room 1)
10:00-12:00 Intro to Python 1 (Room 1)
10:00-12:00 Intro to R 1 (Room 2)
1:00- 3:00 Intro to Python 2 (Room 1)
1:00- 3:00 Intro to R 2 (Room 2)
3:00- 5:00 Visualizing Data with Vega-lite (Room 1)
3:00- 5:00 Intro to Unix (Room 2)

Tuesday, May 18th, 2021

9:00-10:00 Package Management with Spack (Room 1)
10:00-12:00 Intermediate Python with Testing and Types (Room 1)
10:00-12:00 Bayesian Analysis in R (Room 2)
1:00- 3:00 Beautiful Plots with ggplot2 (Room 1)
1:00- 3:00 Jetstream Overview (Room 2)
3:00- 5:00 Blake's Declassified HPC Survival Guide (Room 1)
3:00- 5:00 Unsupervized Machine Learning in R (Room 2)

Wednesday, May 19th, 2021

09:00-10:00 Using Generalized Low Rank models (Room 1)
10:00-12:00 Intro to GitHub (Room 1)
10:00-12:00 Shiny Dashboards in R (Room 2)
1:00- 3:00 Intro to LaTeX (Room 1)
3:00- 5:00 Data structures pandas and data visualization matplotlib in Python (Room 1)
3:00- 4:00 Making your awesome data/code citable with ReDATA (Room 2)
4:00- 5:00 Scholarly identity and Measuring Researcher Impact (Room 2)

Thursday, May 20st, 2021

9:00-11:00 Blogdown: Creating Websites with RMarkdown (Room 1)
10:00-12:00 Sentiment Analysis with R (Room 2)
1:00- 3:00 Prefect (an Airflow alternative) for data pipelines in Python (Room 1)
1:00- 3:00 SQL databases in R (Room 2)
3:00- 4:00 Panel: Careers in Data Science (Room 1)
4:00- 6:00 Hacky Hour ← meet us on Gather.Town

Friday, May 21st, 2021

09:00-10:00 Adapting MATLAB Applications for HPC and GPU (Room 1)
10:00-12:00 Machine Learning with Scikit-Learn (Room 1)
10:00-12:00 Intro to Social Network Analysis in R (Room 2)
1:00- 3:00 Machine learning lifecycle mangers: How mlflow can make our life easier (Room 1)
2:00- 3:00 Intro to HTML/CSS (Room 2)
3:00- 5:00 Basics of text processing with spaCy (Room 1)
3:00- 5:00 Observable Notebooks for prose, code, and gorgeous visualization on the web (Room 2)

Additional Resources

Finding Help After the Conference
Finding Help After the Conference v2

Handy Tools and Resource Links

Papers related to data-science

  1. What is HackMD?

    Read more about HackMD features here
    Markdown Cheat Sheet

    • Online collaborative tool!
    • Based on markdown - that has some syntax rules
    • Great tool for taking notes!
    • We will use it in a few ways:
      • 1 hackMD per session
      • Master hackMD that has links to all of the hackMDs
      • Please feel welcome to take your own hackMD notes at the end of the document
    • Anyone with the link has access to the HackMD - people need to sign up for the HackMD to edit
      • You can sign in with google!
      • You can sign in with github!!
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Package Management with Spack

Tuesday, May 18th, 2021 9:00-10:00 Anirban Pal, Assistant Professor West Texas A&M University, apal@wtamu.edu Back to Resbaz HackMD Directory What is Spack? Spack is a package management tool designed to support multiple versions and configurations of software on a wide variety of platforms and environments. It was designed for large supercomputing centers, where many users and application teams share common installations of software on clusters with exotic architectures, using libraries that do not have a standard ABI. Spack is non-destructive: installing a new version does not break existing installations, so many configurations can coexist on the same system. Most importantly, Spack is simple. It offers a simple spec syntax so that users can specify versions and configuration options concisely. Spack is also simple for package authors: package files are written in pure Python, and specs allow package authors to maintain a single file for many different builds of the same package. (https://spack.readthedocs.io/en/latest/) Pre-requisites: Familiarity with Linux command line, and some basic exposure to compiling software on linux systems.

Apr 13, 2023
Closing email

Hello Research Bazaar Tucson 2021 Registrants! Wasn't that a whirlwind of a week? I know I'm tired! We're happy to announce that almost all of the #ResBazAZ2021 sessions were recorded and will be added to the ResBaz youtube channel - we'll send a link as soon as they are available. In the meantime, we'd love to hear your feedback one final time. What worked? what didn't? How can we improve for next year? Which instructors are essential to recruit again? Please fill out the short feedback form here: https://bit.ly/ResBazSurvey We are hopeful that Research Bazaar Arizona 2022 will be hosted in-person at the University of Arizona the week of May 15, 2022. If you're around, we'd love to see you there. If you're new to the community, we hope #ResBazAZ2021 will be your first step into joining the data science community, whether in Tucson at the University of Arizona or wherever you are located. The Tucson Women in Data Science group has a great list of ways to get more involved locally, but here are some major groups to check out: Research Bazaar, R-ladies, Data Science meetup groups on meetup.com, Women in Data Science, PyLadies, R-User groupsand many more. We encourage you to find a community and get involved.

May 22, 2021
Observable Notebooks for prose, code, and gorgeous visualization on the web

Friday, May 21st, 2021 3:00-5:00 Back to Resbaz HackMD Directory This workshop aims to introduce participants to ObservableHQ which is a relatively new platform used for data visualization, and so much more. We will cover what a notebook is, explore trending examples, and pursue any other inspirations that strike in the course of the workshop. When you leave this workshop you will know how to go from blank slate to published piece visible to the world ( if that’s your thing) all hosted on ObservableHQ. Some exposure to Javascript is going to make this a better workshop experience for you, but honestly we'd love to have you if you've got a machine with a web browser and a thirst for adventure! Note, we will be recording this session so make sure you’re alright with that if you attend. Getting Started Open our workshop notebook in a new tab Introductions Name, Affiliation, Title, Email, Social Media

May 22, 2021
Panel on Careers In Data Science

Thursday, May 17th, 2021 9:00-10:00 Back to Resbaz HackMD Directory Join us for a conversation on transitions from academia to industry in data science! We will be discussing topics of interest such as industry skills, corporate data science jobs, and experiences in the job market. Panelists: Keaton Wilson, Data Scientist at Martin & McCoy Jiali Han, Machine Learning/AI Research Scientist at Facebook Nicholas Dirienzo, Lead Data Scientist at U-Haul International Jenn Schilling, Senior Data Analyst, University of Arizona

May 21, 2021
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