talk-data.com
People (2 results)
Activities & events
| Title & Speakers | Event |
|---|---|
|
PyData London - 103rd Meetup
2026-01-06 · 18:30
Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD Please note:
If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as possible. *** Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns. *** As always, there will be free food and drinks, generously provided by our host, Man Group. *** Main Talks 1. Input Guardrails for Large Language Models - Salman Saeed 2. The lifetime of a write\, 3 ways: in Postgres\, Kafka and Flink - Celeste Horgan In this talk we’ll take a step back to look at three data services: Postgres, Apache Kafka and Apache Iceberg, and how they each handle writes. In doing so, we’ll trace a history through how data services have evolved in the world of distributed systems and big data. We’ll understand the key differences and similarities between these services. Finally, we’ll take a look at what’s coming next in the world of open source data, from Postgres and beyond. ⚡ Lightning Talks Why are LLMs Challenged by Chess? - Ian Ozsvald Logistics Doors open at 6.30 pm (get there early as you'll need to sign in with building security). Talks start at 7:00 pm, with drinks afterwards from 9:00 pm at The Banker (EC4). We have reduced capacity for this event, but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! |
PyData London - 103rd Meetup
|
|
PyData London - 102nd Meetup
2025-12-02 · 18:30
Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD Please note:
If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as possible. *** Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns. *** As always, there will be free food and drinks, generously provided by our host, Man Group. *** Main Talks 1. Productionising research papers with Python and serverless infrastructure - Chess commentary generation use case - Guillaume Allain Chess commentary generation is a fun research field, combining LLMs with symbolic chess engines to generate grounded chess commentary. In this talk I'll showcase a few ideas from recent papers, and demonstrate how to reproduce them leveraging the modern Python stack together with a serverless cloud provider specialised for AI/ML (modal.com). See accompanying repository GitHub - pilipolio/chess-sandbox: Experimentations with chess engines and LLMs ⚡ Lightning Talks
Logistics Doors open at 6.30 pm (get there early as you'll need to sign in with building security). Talks start at 7:00 pm, with drinks afterwards from 9:00 pm at The Banker (EC4). We have reduced capacity for this event, but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! |
PyData London - 102nd Meetup
|
|
PyData London - 100th Meetup
2025-10-07 · 18:00
Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD Please note:
If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as possible. *** Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns. *** As always, there will be free food and drinks, generously provided by our host, Man Group. *** ⚡ Lightning Talks
Logistics Doors open at 6.30 pm (get there early as you'll need to sign in with building security). Talks start at 7:00 pm, with drinks afterwards from 9:00 pm at The Banker (EC4). We have reduced capacity for this event, but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! |
PyData London - 100th Meetup
|
|
Leaders at PyData
2025-06-08 · 10:45
A self-organised workshop for data leaders to discuss the opportunity and challenges they face with their peers. This is the 9th iteration at a PyData conference. Questions are raised and answered by attendees, it is facilitated by Ian Ozsvald (PyDataLondon co-founder). You are encouraged to carry on talking to fellow leaders after this session, Ian will give out badges to help with this. The format is based on the Breakout discussions that Ian uses in his private RebelAI leadership group, you're welcome and encouraged to copy and use it in your own organisations. Typical attendance is 60+ leaders. The 2022 session using a different format ("Executives at PyData" as it was known) was written up, you can see it here: https://numfocus.medium.com/executives-at-pydata-global-2022-193cbc2d3f3b |
PyData London 2025 |
|
PyData London - 90th Meetup
2024-11-05 · 19:00
DetailsVenue: Riverbank House, 2 Swan Ln, London EC4R 3AD - IMPORTANT: LOCATION UPDATED! Please note:
If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know. *** Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. *** As always, there'll be free food & drinks, generously provided by our host, Man Group. *** Main Talks Valuable lessons learned on Kaggle's ARC AGI (LLM) Challenge - Ian Ozsvald Having worked on Kaggle's LLM-based ARC AGI program-writing challenge for 6 months using Llama3, I'll give reflections on the lessons learned making an automatic program generator, evaluating it, coming up with strong representations for the challenge, chain-of and program-of-thought styles and some multi-stage critical thinking approaches. You'll get ideas for how to tune your own prompts and shortcuts to help you evaluate your own LLM usage with greater assurance in the face of non-deterministic outcomes. Unlocking Scalability: Building High-Capacity Vector Databases with Open-Source Techniques - Sergii Ivakhno The rapid adoption of large language models and Retrieval-augmented generation (RAG) techniques has led to a significant surge in vector database usage, with a large number of open source and proprietary techniques available on the market. However, the prevalent focus on latency optimization and fast RAM retrieval has limited their applicability to large datasets composed of trillions of records. In this presentation, I will illustrate how open-source techniques can be leveraged to construct an in-house vector database that embraces scalability and cost-effectiveness, managing hundreds of billions of records. Alongside this I will showcase how to integrate vector database search with standard SQL queries to produce flexible analytic solutions. More advanced uses such as compressed classification, Big Data clustering and RAG will also be highlighted. ⚡ Lightning Talks 1️⃣ Turn YouTube videos & podcasts into readable Markdown with Whisper and LLMs - Shun Liang 2️⃣ Coming soon ... Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements. |
PyData London - 90th Meetup
|
|
PyData London - 87th Meetup
2024-08-06 · 18:00
DetailsVenue: Riverbank House, 2 Swan Ln, London EC4R 3AD - IMPORTANT: LOCATION UPDATED! Please note:
If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know. *** Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. *** As always, there'll be free food & drinks, generously provided by our host, Man Group. *** Main Talks Building a Gesture-Controlled Arduino Robot and Python Suyash Joshi Delve into the realm of robotics with a hands-on exploration of a gesture-controlled robotic powered by Arduino and Python. This talk will cover the fundamentals of human-robot interaction using computer vision gestures, providing practical insights into setting up and controlling a robotic arm. Attendees will learn to integrate TensorFlow for gesture recognition and utilize a time-series database for real-time telemetry and analytics. The session will also include a live demonstration, allowing participants to interact with the robotic arm, and offer access to open-source code on GitHub for further experimentation. Building trip itinerary planner with RAG Pearl Prakash Learn to create a smart trip itinerary planner using Retrieval-Augmented Generation (RAG), blending data retrieval and generative AI for efficient and personalized travel plans. ⚡ Lightning Talks 1️⃣ Abstractly reasoning - failing with an LLM Ian Ozsvald 2️⃣ TBC Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements. |
PyData London - 87th Meetup
|
|
PyData London - 82nd Meetup
2024-02-06 · 19:00
Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD - IMPORTANT: LOCATION UPDATED! Please note:
If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know. Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. As always, there'll be free food & drinks, generously provided by our host, Man Group. Main Talks Toolbox of a not-so Data Scientist - Tambe Tabitha Achere This talk is about building data science solutions in scenarios where demos cannot be done on a notebook and dashboards do not suffice as a final deliverable. By the end of this session, the audience will have an idea of how data scientists can build the logic behind full-stack applications without the need to learn a backend framework. I will do a deep dive into one of my projects and there will be lots of code samples accompanied by explanations that led to design decisions. The project I'll be diving into is one in which the data could not be pulled in so if you've ever had to build for data you couldn't see, this session is for you too. I'll highlight the tools, packages and processes that enabled it to be built. Boosting Similarity Search With Real-time Stream Processing - Fawaz Ghali The goal of similarity search and vector databases is to find similar results to the search query for unstructured data, such as text, images, and videos. The unstructured data first is vectorized, and stored in a vector format. There are publicly available tools to create vectors from unstructured data; similarly, there are vector databases to store and perform similarity searches. This is important because of the rising popularity of Large Language Models (LLMs) and their combination with vector databases. Here, we present a hybrid approach by taking the strengths of vector databases and boosting them with traditional search and filtering techniques based on real-time stream processing. Vector databases are good for building high-performance vector search applications. On the other hand, stream processing can be used for real-time fast data storage for structured data (filters, tags, and contextual data). In this work, we're adding context and memory to vector databases to ingest, enrich, predict, and act on your data in a simplified but efficient approach. In this talk, we’ll focus on how Real-time compute APIs help leverage the processing capabilities of a distributed cluster, so you aren’t leaving large potential performance gains on the table. The combination of Real-time storage and computing provides a unique synergy that enables applications to address real-time use cases at any scale. ⚡ Lightning Talks Open-Source Science (OSSci) - Tim Bonnemann Open-Source Science (OSSci) is a new NumFOCUS initiative – launched in July 2022 in partnership with IBM – that aims to accelerate scientific research by improving the ways open source software in science gets done (built, used, funded, sustained, recognized, etc.). OSSci connects scientists, OSS developers and other stakeholders to share best practices, identify common pain points, and explore solutions together. The five OSSci interest groups to date cover domain-specific topics (chemistry/materials, life sciences/healthcare, climate/sustainability) as well as cross-domain topics (reproducibility, map of science), with more to be rolled out in 2024. This lightning talk will provide a brief overview of OSSci’s activities to date, our plans for 2024, and how you can get involved. (Maybe) faster Pandas with CuDF on the GPU (perhaps) - Ian Ozsvald NVIDIA's CuDF promises 100-1000x GPU speed ups with 100% compatibility, with a bit of effort it can be made to work. This talk shows what could work and which bits (including setup!) can be painful Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements. |
PyData London - 82nd Meetup
|
|
PyData London - 81st Meetup
2024-01-09 · 19:00
Venue: 1 Angel Lane, EC4R 3AB Please note:
If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list. Code of Conduct: This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. As always, there'll be free food & drinks, generously provided by our host, Man Group. Talks 📊💸 An Insider's View on How Data Is Changing The Venture Capital Industry — Jamie Bristow Data is becoming increasingly important in Venture Capital. An industry that has historically been reliant upon personal networks and gut feel over data analytics is rapidly changing. This talk will give an insider's view on how funds are leveraging data (and implementing specific techniques in Python) to find, evaluate and support startups through their journey. Jamie Bristow is the Principal at Frontline Ventures, one of Europe's leading early-stage funds that has invested in over 100+ startups over the last decade. Prior to moving into Venture Capital, Jamie was a data analytics consultant that worked to implement Data Science initiatives across a range of industries. 🛠️🌐 Building Web Apps in Python — François du Vignaud Dive into the novel concept of building Single Page Applications (SPAs) using Python, tracing web technology evolution from early HTTP to WebSocket. This talk provides an overview of key technologies like HTML, JavaScript, and React, then focuses on Python-based SPA development, contrasting it with traditional JavaScript approaches. The session introduces Server-Driven UIs, illustrating Python's role in generating JS code with tools like Dash and emerging frameworks like JustPy. Concluding with a practical 'Hello World' example, the talk offers insights into the advantages and challenges of Python-centric SPA development. 🦙💻 Llama2 and Python on your own machine — Ian Ozsvald Installing llama.cpp, getting a Llama2 model, getting the Python bindings and chatting with your new assistant Bob Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements. |
PyData London - 81st Meetup
|