Founded by Josh Reich and Drew Conway, the New York Open Statistical Programming Meetup started as the New York R Meetup with a handful of people in an office at Union Square Ventures. Since then it has grown to over 11,000 members and has been hosted at NYU, Columbia, AOL, iHeartRadio, eBay, Work-Bench and other locations.

Our mission is to spread knowledge of statistical programming techniques in open-source languages such as R, Python, Julia and Go, and data science in general. Another important aspect is community building and socializing. The meetups start with pizza, followed by a 45-90 minute talk, ending with a trip to the local bar.

Attending

To attend please visit the meetup page.

Presentations and Videos

Whenever possible we make presentations available at the Presentations page.

We now stream and host videos of meetups on Facebook and YouTube and older videos are scattered on a variety of services. They are also listed on the Presentations page.

Jobs

Job openings and other announcements are on the meetup discussion board.

Upcoming Meetup

Your Laptop is More Capable than you Think: Large Data with {disk.frame}

January 20, 2022 07:00:00 PM

Another in a series of talks about using R with data too big for RAM, we have ZJ Dai discussing {disk.frame}.

Thank you to EcoHealth Alliance for providing the Zoom link.

Conversations during the meetup are encouraged in the monthly-meetup-chat channel in the nyhackr slack: https://nyhackr.org/slack.html

About the Talk:
Every R user has run into the "cannot allocate vector of size xxxB." error at some point. For most applications, R needs to load the data in its entirety into RAM. However, RAM is a precious resource and often runs out.

The {disk.frame} package solves this issue by providing a framework to manipulate data on disk and minimize RAM usage. By using {disk.frame}, the user can perform analysis on much larger data than is ordinarily possible with R. A modern laptop with {disk.frame} can handle 100GB's of data.

About ZJ:
ZJ is a data scientist with over fourteen years of experience in the banking and tech start-up space. He is the lead developer of {disk.frame}.

The talk will begin at 7 PM America/New_York and we will start admitting people to the event shortly before. Since this is completely remote there will be no pizza but everyone is encouraged to have pizza individually.

Website

The nyhackr website was built as a RMarkdown website and the source code can accessed by the community on GitHub.

How to contribute

If you wish to contribute to the website the process is pretty simple.

  1. Fork and clone the repository (an example can be found here)
  2. Create a new branch for your changes (warning, this step cannot be done in RStudio!)
  3. Make your changes. You can build and view your local version by using rmarkdown::render_site()
  4. When you are done, submit a pull request. Your changes might not appear on the public site right away as we have a development version for making sure changes donโ€™t break the site.



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