#!/usr/bin/env python # coding: utf-8 # # Infosec Jupyterthon! # #
# Agenda • # Registration • # CFN • # Sponsors • # Collaborators • # Conduct • # Previously #
# # --- # # [![Twitter](https://img.shields.io/twitter/follow/jupyterthon.svg?style=social&label=Follow)](https://twitter.com/jupyterthon) # [![Open_Threat_Research Community](https://img.shields.io/badge/Open_Threat_Research-Community-brightgreen.svg)](https://twitter.com/OTR_Community) # [![Open Source Love](https://badges.frapsoft.com/os/v3/open-source.svg?v=103)](https://github.com/ellerbrock/open-source-badges/) # # ![](images/infosec-jupyterthon-banner-dark.jpg) # # An open community event for security researchers to share their experience and favorite [notebooks](https://jupyter.org/) with the InfoSec community. We meet virtually, share notebooks, and have fun learning more about Jupyter notebooks applied to the InfoSec field. A great place to meet other Infosec [Jovyans!](#what-is-a-jovyan-🪐) # # Add to your Calendar (Day 1) Add to your Calendar (Day 2) # # ## Quick Information # # * **When? (Eastern Time)** # * February 15th, 2024 - 16:00 to 21:00 (Eastern Time) # * February 16th, 2024 - 11:00 to 16:00 (Eastern Time) # * **Where?** Live Stream # * https://aka.ms/JupyterthonLiveDay1 # * https://aka.ms/JupyterthonLiveDay2 # * **How Much?** FREE # * **Discord Server** # * Invite Link: https://aka.ms/JupyterthonDiscord # * Channel: OTR Conferences > Jupyterthon # # ## Registration Form # # https://aka.ms/JupyterthonRegistration # # ## Call For Notebooks # If you are using Jupyter notebooks for any use case applied to Infosec, we want to hear from you! Presentation slides are not required. You and a notebook is enough!. # # * **CFN form:** https://aka.ms/JupyterthonCFN # * **CFN starts:** December 15th, 2023 # * **CFN ends:** January 15th, 2024 # # ### A few submission guidelines # * Well documented notebook with enough context (e.g. Markdown text) to tell the story behind your research. # * A well defined step by step process to go from basic to advanced skills. # * Use of open source code (e.g pandas) to allow attendees to replicate the research at home. # * Notebook and data should be freely releasable if possible. # * Talk types: # * Lightning Talk - 5 minutes (i.e., Quick Idea, Favorite Notebook, Tips and Tricks) # * Short Presentation - 15 minutes # * Long Presentation - 30 minutes # # ## Sponsors # ## # # # | #
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