Conferences / PyCon (national Python conferences)
PyCon Lithuania 2026
Apr 8–10, 2026 · SMK University of Applied Social Sciences, Vilnius, Lithuania
- Conference
- PyCon (national Python conferences) Data science & ML
- Dates
- Apr 8, 2026 – Apr 10, 2026
- Venue
- SMK University of Applied Social Sciences
- Place
- Vilnius, Lithuania
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- pycon.lt
- Recorded
- 20 sponsors · 75 speaker appearances
- Notes
- Python Day (8 Apr), Data Day (9 Apr), AI Day (10 Apr). Tickets page keynotes: Mark Smith (JetBrains), Katharine Jarmul (Kjamistan; pretalx bio says Thoughtworks), Piotr Skalski and Geoffrey Huntley; pretalx also labels Mia Bajić, Tomas Peluritis and Egidijus Pilypas as keynotes. Capacity 'limited to 600 attendees' (not an attendance figure). Videos on the pycon.lt YouTube playlist, not linked per talk. 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 | €169 | — | incl. VAT; 1 day €99, 2 days €139 | web.archive.org |
| Corporate, 3 days | €249 | — | incl. VAT; 1 day €139, 2 days €169 | web.archive.org |
Sponsors 20
Speakers and talks 75
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Egidijus Pilypas | Exacaster | Keynote | Attacking Toughest and Messiest Tech Challenges with AI | — |
| Geoffrey Huntley | — | Keynote | Software Development Now Costs Less Than Minimum Wage | — |
| Katharine Jarmul | Thoughtworks | Keynote | Claude Code Conspiracies | — |
| Mark Smith | JetBrains | Keynote | What You're Leaving on the Table | — |
| Mia Bajić | — | Keynote | Your Python has a public roadmap. Most engineers never read it. | — |
| Piotr Skalski | Roboflow | Keynote | Computer Vision, Meet Sports | — |
| Tomas Peluritis | Mediatech | Keynote | Technical Debt: When to Pay It Down vs. When to Just Live With It | — |
| Aidis Stukas | EnforceShield | Talk | LLM Agent Patterns — A Python Developer's Vocabulary | — |
| Alex Marmuzevich | — | Workshop | AI-Assisted Development in Practice: Chatbot + Agentic Testing from Scratch | — |
| Antanas Baltrušaitis | Nordea | Talk | Cloud Data Solutions Are Overrated: Building a Pan-European Business Database for Lunch Money | — |
| Antanas Daujotis | — | Talk | Context Engineering with DeepAgents: Write, Select, Compress, Isolate | — |
| Antonino (Nino) Cangialosi | — | Talk | Master the Art of Schema Dissection: Operation Data Engineer | — |
| Artem Konotpchyk | IBM | Workshop | Quantum Machine Learning with Qiskit | — |
| Artsem | — | Talk | Python for Data Quality in 2025: Why tests alone are no longer enough | — |
| Aurimas Griciunas | — | Talk | Leading Through the Shift: What Engineering Leadership Actually Looks Like | — |
| Ąžuolas Krušna | — | Talk | Streamline Python Package Release with uv, paws and trivia | — |
| Cheuk Ting Ho | — | Talk | Are we free-threaded ready? Looking at where free-threaded Python fails | — |
| Cheuk Ting Ho | — | Talk | Friend or Foe? AI at Play in Cybersecurity | — |
| Christian Heitzmann | — | Talk | Documenting Python Code—and Whether AI Can Really Help | — |
| Denis Filiakin | — | Talk | An Art of Privacy | — |
| Dmitri | — | Talk | Engineering Complex AI solutions: Observability and Testing of multi-Agent Solutions | — |
| Ekaterina Korolkoviene | — | Talk | It’s Just Code: Library Dismantling 101 | — |
| Eric Thanenthiran | StellarGlyph | Talk | Infrastructure as Python: Pulumi for Cloud Deployments | — |
| Fabien Vauchelles | — | Talk | What It Means to Be a CTO in an AI Startup Today | — |
| Federico Marchesi | — | Workshop | Data versioning | — |
| Gabriele Orlandi | — | Talk | Reading the Mind of an LLM | — |
| Gediminas Sadaunykas | AimRank | Talk | From Sports Stats to AI Safety: The Ranking Renaissance | — |
| Graham Lyons | — | Talk | Lessons Learned using FastAPI in the Wild | — |
| James Donahue | — | Talk | LLMs through my last 3 professions: an interdisciplinary approach | — |
| James Donahue | — | Talk | Stats Meets ML - What I learned from my Machine Learning Certification | — |
| Jarek Potiuk | — | Talk | Modern Python monorepo for Apache Airflow | — |
| Jarek Potiuk | — | Talk | Death by a Thousand Prompts: Can Our Disclosure Standards Survive AI Slop? | — |
| Jaunė Malūkaitė | CommonAI CIC | Talk | From experiments to systems: DS lessons for better software engineering | — |
| Jonas Adomaitis | IBM | Talk | Quantum Machine Learning with Qiskit | — |
| Jonas Lekevicius | Silent | Talk | AI Agents: risks and legal | — |
| Juan Luis Cano Rodríguez | Canonical | Workshop | The year of [packaging your Python app for] the Linux Desktop | — |
| Juan Luis Cano Rodríguez | Canonical | Talk | How I mapped 10 000 illegal Airbnbs with Python | — |
| Justinas Kuizinas | CoinGate | Talk | Leading Through the Shift: What Engineering Leadership Actually Looks Like | — |
| Kader Miyanyedi | — | Talk | A Practical Guide to Testing with Pytest, Faker, and Hypothesis | — |
| Kader Miyanyedi | — | Talk | Measuring Experiments in LLMs: A/B Tests and Automated Testing | — |
| Karolina Griciunė | — | Talk | Leading Through the Shift: What Engineering Leadership Actually Looks Like | — |
| Karolina Griciunė | — | Talk | AI Agents: risks and legal | — |
| Kęstutis Gadeikis | — | Talk | Beyond the Static 2D Plot - Spatial Data Storytelling in 4D | — |
| Linas Petkevičius | — | Talk | AI Agents: risks and legal | — |
| Luca Baggi | — | Talk | From OpenAI to DeepSeek: New Scaling Laws for LLMs that can Reason | — |
| Luca Baggi | — | Talk | Reading the Mind of an LLM | — |
| Manta Ribkauskyte | — | Workshop | Quantum Machine Learning with Qiskit | — |
| Marat Saidov | Applied Sciences Group | Talk | From Data Collection to Partner Delivery: Shipping a Paraphrasing Skill on Small Language Models | — |
| Mauro Pelucchi | Lightcast | Talk | Multi-Model LLM Orchestration in Python: A Case Study in Research Automation | — |
| Neeraj Pandey | — | Workshop | Python Power Tools: Hands-On from Decorators to Context Managers | — |
| Neeraj Pandey | — | Poster | Exposing Greenwashing: Satellite ML for Carbon Credit Verification | — |
| Neringa Gaubiene | — | Talk | AI Agents: risks and legal | — |
| Oleksii Liashuk | — | Talk | Dataset Updates Without Losing Your Mind | — |
| Özge Çinko | — | Talk | Measuring Experiments in LLMs: A/B Tests and Automated Testing | — |
| Paulius Venclovas | — | Talk | Python, rust and arrow for data processing | — |
| Petras Zdanavičius | — | Talk | Serializing and displaying trees | — |
| Piotr Migdał | Quesma | Talk | Vibe reverse engineering of old games and new hardware | — |
| Piti Champeethong | — | Talk | Beyond Basic RAG: Boosting Accuracy with Hybrid Search and Fusion Algorithms. | — |
| PJ Hagerty | — | Talk | Why Git Still Matters | — |
| PJ Hagerty | — | Talk | AI & Ethics | — |
| prof. Paulius Pakutinskas | — | Talk | AI Agents: risks and legal | — |
| Purva | State Street | Talk | Creative Data Storytelling with Python | — |
| Rodrigo Girão Serrão | — | Talk | The paradox of itertools.tee | — |
| Rodrigo Girão Serrão | — | Talk | And now for something completely different | — |
| Roman Zaiev | — | Talk | Stop Using ORM | — |
| Saurav Jain | — | Talk | Designing Python APIs for Data You Don’t Control | — |
| Simona Skiotytė | Nasdaq | Talk | Beyond the Prompt: Building Research Agents in Python | — |
| Tadas Goberis | Trimble | Talk | Stop Guessing: Build Feedback Loop for Prompt Engineering | — |
| Tadas Korris | Mozilla | Talk | Python Tooling at Mozilla | — |
| Tadas Korris | Mozilla | Talk | AI and Agency: As Developers, We Decide The Future | — |
| Tomas Peluritis | Mediatech | Talk | Leading Through the Shift: What Engineering Leadership Actually Looks Like | — |
| Tomas Peluritis | Mediatech | Talk | Airflow Lessons They Don't Put in the Docs | — |
| Valdas Druskinis | Mercedes-Benz | Talk | Beyond SHAP: Diagnosing Vector Embeddings with Visual Explainable AI | — |
| Viraj Sharma | Presidium School | Talk | XAI - Explainable AI tools and techniques | — |
| Zafarzhon Irismetov | — | Talk | Behind Every Instant Loan Is Data Science: How Python Scorecards Decide Credit Risk | — |