PyCon Lithuania 2024

PyCon Lithuania 2024 Promo

Ritchie Vink - Keynote Polars | PyCon Lithuania 2024

Keynote by Daniel Roy Greenfeld - PyCon 2024

Johannes Bechberger - Let’s create a Python Debugger together

Robson Junior - The pragmatic Pythonic data engineer

Marco Gorelli - DataFrame interoperatiblity - what's been achieved, and what comes next?

Tomas Peluritis - Write-Audit-Publish Pattern in Modern Data Pipelines

Romualdas Jurevičius - Python behind the scenes of Danske Bank's Cloud Migration at Scale

Piotr Gryko - Building and Scaling an AI Startup with Async Django

Antanas Daujotis - Unleashing Python's potential with MAX Platform

Albertas Gimbutas - Deadcode - a tool to find and fix dead (unused) Python code

Aurélien Massiot - Coding a vector database from scratch

Tadas Korris - How we Develop and Maintain a Modern Python Service at Mozilla: Merino as Example

Arjan Egges - LLMs: when tu use them and when to avoid them

Tomáš Neubauer - Streaming DataFrames: A New Way to Process Streaming Data in Python

Justinas Kuizinas - I Wish I Knew These Before

Maxim Danilov - µDjango 2.0, an asynchronous microservices technique

Dr Piotr Gryko - Building and Scaling an AI Startup with Async Django

Rodrigo Girão Serrão - 503 days working full-time on FOSS: lessons learned

Rodrigo Girão Serrão - What are descriptors and why does Django need them?

Luca Baggi - ChatGPT: Embeddings, Transformers and Reinforcement Learning with Human Feedback

PyCon Lithuania with Aidis Stukas and Inga Pliavgo

Robert Dzisevič - Watsonx: A GenAI platform that's built for business

Maria Jose Molina Contreras - Customizing LLMs: A Guide to Fine-Tuning Open Source Models