What we’re about
PyData Cambridge is our local PyData meetup chapter.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
The PyData Code of Conduct governs this meetup. (http://pydata.org/code-of-conduct.html).
Please submit talk proposals to: https://forms.gle/YChti5x4yREF8fKm6
Slides from past events can be found here.
PyData is dedicated to providing a harassment-free meeting experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of meeting participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any conference venue, including talks.
Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for PyData.
To discuss any issues or concerns relating to the code of conduct or behavior of anyone at the PyData meetup*, please contact our CoC Response Team, which consists of the local group organizers and Leonie Mueck (https://twitter.com/LeonieMueck). (You can reach all of through meetup.com). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT).*
Upcoming events (2)See all
- Network event0 attendees from 1 groups hostingPyData Global 2023 (GLOBAL ONLINE CONFERENCE)Link visible for attendees
The PyData Global Online Conference is where users, contributors, and newcomers can share experiences to learn from one another and grow together. PyData provides a virtual forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. This three-day online event consists of talks, tutorials, and discussions to bring attendees the latest project features along with cutting-edge use cases.
The time span of the conference stretches beyond any single time zone, reflecting the global nature of our community. To accommodate our attendees, each session will be recorded and made available to attendees the following day. Following the Conference, all recordings will be posted to the PyData YouTube channel.
Tickets follow a pay-what-you-can model and can be found here: https://pydata.org/global2023/tickets
Why Charge for an Online Conference?
Revenue from the event will go to PyData and NumFOCUS, a nonprofit organization that supports open source scientific computer programming. NumFOCUS currently sponsors 60 Open Source Projects, and organizes community-driven educational programs for users and developers of open source scientific tools.
While the 2023 PyData Global Conference has no costs for venue or catering, there are still costs associated with bringing the event online. We also need to continue paying fixed costs to keep NumFOCUS healthy, as well as continue supporting the open source community.
For this reason, we have chosen to sell tickets with a pay-what-you-can pricing model. We appreciate your support for us during this time so that we can keep supporting you in the future.
- PyData Cambridge - 48th MeetupRaspberry Pi Foundation, Cambridge
📣📣We are happy to announce the 48th PyData Cambridge Meetup!📣📣
18:45 - 🚪 Doors open (Please do not arrive earlier)
19:00 - ▶️ Introduction
19:15 - 🗣 Practical Detection Engineering in Cybersecurity using Polars - Chris Lo**.**
19:50 - 🥤 Q&A and Networking - drinks and snacks provided
20:15 - 🗣 Full-reference image quality assessment for reconstruction algorithms*- Anna Breger***.**
20:50ish - 🍻 End (Pub - Station Tavern, Station Square, map here).
This event is sponsored by the Raspberry Pi Foundation.
This talk is an introduction to detection engineering using Polars, which is a new blazing fast DataFrame library built on Rust. This talk uses real data from AWS CloudTrail and a live code-along with Jupyter notebooks to demonstrate the basics of cyber threat hunting.
We end with a deeper dive into the Polars expressions APIs and compare it to other query languages from the cybersecurity world (e.g. Kusto Query Language).
Whether you are a data engineer with interest in cybersecurity or a cybersecurity professional looking to learn a new data tool, there's something in this talk for you.
Speaker 1: Chris Lo
Chris is the co-founder of Tracecat: a Y Combinator backed cybersecurity startup. Tracecat is an AI-native monitoring platform designed to hunt multistage attacks in the Cloud. In his past life, Chris was a data engineer in PwC building ML models to fight cyber crime across fintech and crypto.
When evaluating novel imaging algorithms in a full reference (FR) setting (e.g. reconstruction with phantom data), the problem of image quality assessment translates into comparing two images. Where specialised experts know what to look for, scientists/engineers do often not have this expertise and rely on automated quantification. The commonly used FR-IQ methods have been developed and optimized for natural images and cannot be translated directly to medical imaging tasks. In this talk I will give a short introduction to IQ assessment and provide examples of failure when applying standard FR-IQ measures to varied medical imaging tasks and discuss alternatives and suggestions for future improvements.
Speaker 2: Anna Breger
Our next speaker - Anna Breger is a senior postdoctoral researcher in the Cambridge Image Analysis Group at the DAMTP, University of Cambridge (UK), and PI of the iDeal research project, focusing on image data visualisation and evaluation, at the Medical University of Vienna. She's a member of the global COVID-19 AIX-COVNET collaboration where she is focusing on X-Ray data. Her current main interests are applications of mathematical image processing in medical problems and beyond, including research on data representations, dimension reduction and image quality assessment.
Code of Conduct
PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form.
The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behaviour of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (email@example.com) or organizers.