Data Day April 5th

April 5th is Data Day at PyCon Lithuania 2024. Explore keynotes by Ines Montani, co-founder of Explosion and creator of spaCy, and Ritchie Vink, author of Polars, a high-speed DataFrames library. Engage with talks on modern data pipelines, DataFrame interoperability, vector database coding, generative AI, pragmatic data engineering, revenue-based scoring, MLOps, data version control, cloud-native ML platforms, streaming data processing, and more. Join us for a day dedicated to advancing your skills in data science and machine learning with Python.

Keynotes

Ines Montani

Co-founder of Explosion, a software company specializing in developer tools for Artificial Intelligence and Natural Language Processing technologies,
Creator of spaCy, leading open-source library for Natural Language Processing,
Creator of Prodigy, a modern annotation tool for creating training data for machine learning models

Ritchie Vink

Author of Polars,
Polars is a blazingly fast DataFrames library,
Polars is implemented in Rust using Apache Arrow Columnar Format

Talks

Already confirmed talks:

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

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

Coding a vector database from scratch by Aurélien Massiot

Generative AI in Lithuanian language by Vytautas Bielinskas

The pragmatic Pythonic data engineer by Robson Junior

Revenue based scoring in `GridSearchCV`: a case for the new metadata routing in scikit-learn by Adrin Jalali

[MLOps] CI/CD in the age of Machine Learning by Emmanuel-Lin Toulemonde

🧼 From GPU-poor to data-rich: data quality practices for LLM fine-tuning by Gabriel Martín BlázquezDavid Berenstein

Data Version Control Done Right with Python and Unity by Nir OzeriNir Ozeri

Data Processing with Apache Spark and Apache Iceberg by Tomas Peluritis

Introduction to Polars DataFrames - how to supercharge your data workflows by Marco Gorelli

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

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

Transcend the Knowledge Barriers in RAG: Setup, Chat State, and More by Isaac Chung

Transforming Data Insights: Creating Dynamic Animated Stories with Python and ipyvizzu-story by Peter Vidos

A 101 in time series analytics with Apache Arrow, Pandas and Parquet by Zoe Steinkamp

Speed up open source LLM-serving with llama-cpp-python by Isaac Chung

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

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

ML Model Serialization: Improving Efficiency and Flexibility by Jonas Jarutis

RAG on KDTree by Jan Bartnitsky

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

More talks will be announced in the coming weeks.

Schedule

The schedule is to be announced (TBA). Stay tuned for updates!

I would like to join the event

You can buy a ticket for this specific day or as part of a multiple days ticket. More details and the ticket purchasing options will be available soon.

Thanks

Special thank you for AI Lithuania for helping us organize this event.

Special thank you for PyData for helping us organize this event.

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