Level up your Data Science workflows with VS Code, Jupyter and ChatGPT
Abstract
There are a lot of ways to become a better data scientist. One of the simplest and most effective ways though is getting all the help you can from the environment you write your code in. Xenia Mountrouidou will be helping us do just that as she walks us through her data science development environment, with a focus on how to get the most out of VS Code working with Jupyter Notebooks. She will share tips and tricks on Jupyter and Python virtual environments, her favorite VS code plugins (including the latest CodeGPT), and even some favorite Python ML libraries. Whether this is your first time thinking about developing for data science, or you’re a seasoned professional, you’re sure to learn something new that will take your workflow to the next level.
Xenia Mountrouidou
Senior Security Researcher
Xenia Mountrouidou is a Senior Security Researcher at Cyber adAPT with versatile experience in academia and industry. She has over 10 years of research experience in network security, machine learning, and data analytics for computer networks. She enjoys writing Python scripts to automate boring things, finding interesting patterns with machine learning algorithms, and researching novel intrusion detection techniques. Her research interests revolve around network security, Internet of Things, intrusion detection, and machine learning.