Conferences / PyCon (national Python conferences)
PyCon Lithuania 2024
Apr 2–6, 2024 · SMK University of Applied Social Sciences, Vilnius, Lithuania
- Conference
- PyCon (national Python conferences) Data science & ML
- Dates
- Apr 2, 2024 – Apr 6, 2024
- Venue
- SMK University of Applied Social Sciences
- Place
- Vilnius, Lithuania
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- pycon.lt
- Recorded
- 7 sponsors · 68 speaker appearances
- Notes
- Tutorials 2 Apr; Web, Python and Data/PyData days 3-5 Apr; sprints 6 Apr. Speakers: all sessions with speakers from the pretalx schedule export (logistics slots such as welcomes, lightning-talk blocks, AGMs and sprints left out); affiliations parsed from pretalx bios where stated, otherwise null.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Individual, 3 days | €249 | — | incl. 21% VAT; 2 days €129-199; 1 day €69-149 | tickets.pycon.lt |
| Company, 3 days | €299 | — | incl. 21% VAT; 2 days €219-249; 1 day €99-249 | tickets.pycon.lt |
Sponsors 7
Platinum 1
Gold 1
Bronze 2
Speakers and talks 68
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Arjan Egges | — | Keynote | LLMs: when to use them and when to avoid them | — |
| Daniel Roy Greenfeld | — | Keynote | Keynote by Daniel Roy Greenfeld | — |
| Ines Montani | — | Keynote | The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs | — |
| Ritchie Vink | — | Keynote | Keynote Polars | — |
| Robert Smallshire | — | Keynote | Dancing with Design | — |
| Tom | — | Keynote | Encode OSS: Funding open source development | — |
| Adam Furmanek | — | Talk | Lessons Learned From Maintaining SDK in Python for Three Years | — |
| Adrin Jalali | — | Talk | Revenue based scoring in `GridSearchCV`: a case for the new metadata routing in scikit-learn | — |
| Albertas Gimbutas | — | Talk | Deadcode - a tool to find and fix dead (unused) Python code | — |
| Albertas Gimbutas | — | Workshop | Python package creation using bleeding edge toolset | — |
| Antanas Daujotis | — | Talk | Unleashing Python's potential with MAX Platform | — |
| Aurélien Massiot | Octo Technology | Workshop | Coding a vector database from scratch | — |
| Ben Clifford | — | Talk | The Ghosts of Distant Objects | — |
| Cristián Maureira-Fredes | — | Talk | The role of Rust, Zig and C++ in the Python ecosystem | — |
| Damian Wysocki | — | Talk | Deep Dive into Asynchronous SQLAlchemy - Transactions and Connections | — |
| Dave Aronson | — | Talk | Kill All Mutants! (Intro to Mutation Testing) | — |
| David Berenstein | — | Talk | 🧼 From GPU-poor to data-rich: data quality practices for LLM fine-tuning | — |
| David Hewitt | Pydantic | Talk | Using Rust & PyO3 to make Pydantic v2 even faster | — |
| Eimantas Nėjus | — | Talk | Django + HTMX: Democratise Full Stack Web Development | — |
| Einat Orr | — | Talk | Data Version Control Done Right with Python and Unity | — |
| Eli Holderness | — | Talk | Pointers? In My Python? | — |
| Emmanuel-Lin Toulemonde | — | Talk | [MLOps] CI/CD in the age of Machine Learning | — |
| Fabien Vauchelles | Wiremind | Talk | Cracking the Code: Decoding Anti-Bot Systems! | — |
| Fabien Vauchelles | Wiremind | Talk | Mastering Web Scraping: Unleash Your Data Extraction Wizardry! | — |
| Francis Billa | — | Talk | Pythonic Insight: Navigating the Depths of Observability. | — |
| Franz Haas | FH JOANEUM | Talk | analyzing stdf production test data in the silicon manufacturing industry using construct | — |
| Gabriel Martín Blázquez | — | Talk | 🧼 From GPU-poor to data-rich: data quality practices for LLM fine-tuning | — |
| Isaac Chung | Clarifai | Talk | Speed up open source LLM-serving with llama-cpp-python | — |
| Isaac Chung | Clarifai | Talk | Transcend the Knowledge Barriers in RAG: Setup, Chat State, and More | — |
| Jan Bartnitsky | — | Talk | RAG on KDTree | — |
| Johannes Bechberger | SAP | Workshop | Let’s create a Python Debugger together | — |
| Jonas Jarutis | — | Talk | ML Model Serialization: Improving Efficiency and Flexibility | — |
| Julius Boakye | Accra Technical University | Workshop | FastDjango: Conjuring Powerful APIs with the Sorcery of Django Ninja | — |
| Justinas Kuizinas | — | Talk | Lessons (I Wish I Knew These Before) from Migrating a Farm of Django Projects from On-Premises to AWS with Kubernetes | — |
| Laimonas Sutkus | — | Workshop | Object Oriented Programing the way it should be | — |
| Laysa Uchoa | — | Talk | OpenSearch, Python, and Serverless for Modern Search Applications | — |
| Laysa Uchoa | — | Talk | Saying bye to the Keyboard, Hello to Alexa with Python AWS Lambda | — |
| Luca Baggi | — | Talk | functime: a next generation ML forecasting library powered by Polars | — |
| Marco Gorelli | Quansight | Tutorial | Introduction to Polars DataFrames - how to supercharge your data workflows | — |
| Marco Gorelli | Quansight | Talk | DataFrame interoperatiblity - what's been achieved, and what comes next? | — |
| Maria Jose Molina Contreras | — | Talk | Customizing LLMs: A Guide to Fine-Tuning Open Source Models | — |
| Martynas Venckus | — | Talk | Making an e-shop search bar your friend with Pinecone's hybrid search | — |
| Matthew Honnibal | — | Talk | Designing for tomorrow's programming workflows | — |
| Maxim Danilov | — | Talk | Django FTL: Resolving bottlenecks on the path to high performance. | — |
| Maxim Danilov | — | Talk | Simplifying large Python projects by distributing complexity. | — |
| Maxim Danilov | — | Talk | µDjango 2.0, an asynchronous microservices technique. | — |
| Maxim Zaks | — | Talk | Is Mojo just a hype? | — |
| Monika Venčkauskaitė | BPTI | Tutorial | Aligning and Using an Open-Source LLM | — |
| Nir Ozeri | — | Talk | Data Version Control Done Right with Python and Unity | — |
| Peter Vidos | — | Workshop | Transforming Data Insights: Creating Dynamic Animated Stories with Python and ipyvizzu-story | — |
| Piotr Gryko | UCL | Talk | Scaling, Refactoring and fixing a Django MVP for Production | — |
| Piotr Gryko | UCL | Talk | Building and Scaling an AI Startup with Async Django | — |
| Robert Dzisevič | IBM | Talk | Watsonx: A GenAI platform that's built for business | — |
| Robson Junior | — | Talk | The pragmatic Pythonic data engineer | — |
| Rodrigo Girão Serrão | — | Talk | 503 days working full-time on FOSS: lessons learned | — |
| Rodrigo Girão Serrão | — | Talk | What are descriptors and why does Django need them? | — |
| Romualdas | — | Talk | Python behind the scenes of Danske Bank's Cloud Migration at Scale | — |
| Tadas Gedgaudas | — | Talk | How to Utilize Machine Learning for Better Web Scraping | — |
| Tadas Korris | Mozilla | Talk | How we Develop and Maintain a Modern Python Service at Mozilla: Merino as Example | — |
| Tomáš Neubauer | Quix | Talk | Streaming DataFrames: A New Way to Process Streaming Data in Python | — |
| Tomas Peluritis | — | Talk | Write-Audit-Publish Pattern in Modern Data Pipelines | — |
| Tomas Peluritis | — | Tutorial | Data Processing with Apache Spark and Apache Iceberg | — |
| Trevor James Smith | — | Talk | Building Open Climate Change Information Services in Python | — |
| Tung Hoang | — | Talk | Grokking Event-Driven Web App with Python | — |
| Vytautas Bielinskas | IBM | Talk | Generative AI in Lithuanian language | — |
| Yuliia Barabash | — | Talk | Your proposal: Data Harvest: Unlocking Insights with Web Scraping | — |
| Yuliia Barabash | — | Talk | Saying bye to the Keyboard, Hello to Alexa with Python AWS Lambda | — |
| Zoe Steinkamp | — | Workshop | A 101 in time series analytics with Apache Arrow, Pandas and Parquet | — |