PyCon Lithuania

Adam Furmanek - Lessons Learned From Maintaining SDK in Python for Three Years

Chang She - LanceDB developer friendly, serverless vector database PyCon 2023

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

Modern Python through FastAPI and friends. Sebastián Ramírez.

Vytautas Bielinskas - Generative AI in Lithuanian language

Robert Smallshire - Dancing with Desing

Sebastián Ramírez - Await for it: mixing async and blocking code

Luca Baggi - functime: a next generation ML forecasting library powered by Polars

Laysa Uchoa and Yuliia Barabash - Saying bye to the Keyboard, Hello to Alexa with Python AWS Lambda

Laimonas Sutkus - Object Oriented Programing the way it should be

Tomas Peluritis - Beyond dbt Modern SQL Transformation and Lineage with sqlglot and sqlmesh

Tom Christie - Encode OSS: Funding open Sourse development

Tadas Gedgaudas | How to Utilize Machine Learning for Better Web Scraping

Martynas Venskus - Making an e-shop search bar your friend with Pinecone's hybrid search

David Masip - cluster experiments A Python library for end to end AB testing workflows

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

Adam Furmanek - Lessons Learned From Maintaining SDK in Python for Three Years

Franz Haas - analyzing stdf production test data

Emma Delescolle - Py:Script: could it be used as a frontend framework?

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

Maxim Danilov - µDjango 2.0, an asynchronous microservices technique

Matthew Honnibal - Designing for tomorrow's programming workflows

Maxim Danilov - Django FTL: Resolving bottlenecks on the path to high performance

Ritchie Vink - Keynote Polars | PyCon Lithuania 2024

Andrej Baranovskij - MLOps with FastAPI, RabbitMQ and Kubernetes using Skipper

Nir Ozeri - Data Version Control Done Right with Python and Unity

Damian Wysocki | Deep Dive into Asynchronous SQLAlchemy - Transactions and Connections

Jonas Jarutis - Image deduplication using embeddings

Gabriel Martín Blázquez and David Berenstein - Data quality practices for LLM fine-tuning