{"id":44021,"date":"2021-11-19T19:30:06","date_gmt":"2021-11-19T19:30:06","guid":{"rendered":"https:\/\/www.microsoft.com\/security\/blog\/?p=102060"},"modified":"2021-11-19T19:30:06","modified_gmt":"2021-11-19T19:30:06","slug":"join-us-at-infosec-jupyterthon-2021","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/join-us-at-infosec-jupyterthon-2021\/","title":{"rendered":"Join us at InfoSec Jupyterthon 2021"},"content":{"rendered":"

We\u2019re excited to invite our community of infosec analysts and engineers to the second annual InfoSec Jupyterthon<\/a><\/strong> taking place on December 2-3, 2021. This is an online event organized by our friends in the Open Threat Research Forge<\/a>,<\/u> together with folks from the  Microsoft Threat Intelligence Center (MSTIC).<\/p>\n

Although this is not a Microsoft event, our Microsoft Security teams are delighted to be involved with helping organize it and deliver talks and workshops. Registration is free<\/a> and it will be streamed on YouTube Live both days from 10:30 AM to 8:00 PM Eastern Time.<\/p>\n

\"Illustration<\/p>\n

Figure 1. InfoSec Jupyterthon 2021 event image. This image was created by Scriberia<\/a> for The Turing Way<\/a> community and is used under a CC-BY licence. Zenodo record<\/a>.<\/em><\/p>\n

What is InfoSec Jupyterthon?<\/h3>\n

InfoSec <\/em>Jupyterthon<\/em> is a forum for information security analysts and engineers to share knowledge and experiences about using Jupyter notebooks in security hunting and investigation. Last year\u2019s conference featured talks on a variety of topics, from integrating notebooks into your security operations (SOC) processes to using GPU-accelerated graphs, time series decomposition, and pandas<\/em> statistics to detect and understand attacker patterns.<\/p>\n

Since many of last year\u2019s attendees identified themselves as Jupyter notebooks beginners, this year\u2019s conference will feature a series of beginner and intermediate tutorials during the mornings, covering notebooks, data analysis with pandas, visualization and using MSTIC\u2019s infosec Python package MSTICPy<\/a>. The afternoons will host speakers on a variety of notebook and info security topics, including:<\/p>\n