PyCon Lithuania 2024

PyCon Lithuania 2024 is a conference focusing on Data, Web & More, that will have more than 60 sessions and more than 600 attendees. Featuring keynotes by PyDanny, Ritchie Vink, Arjan Codes, Robert Smallshire and Tom Christie.
This year is special, we will have separate days dedicated to specific, or specifically broad, topics.

Shaping the Agenda: Your Vote, Your Talks

Take an active role in shaping PyCon Lithuania 2024! Your vote helps us select talks that resonate with the community, ensuring a lineup that`s both engaging and informative. By voting, you also aid in the logistical planning of the event, like determining room sizes and grouping similar talks for a coherent experience. Your voice is essential in creating an event tailored to the interests and needs of our attendees.

Fastforward your data processing with Polars

A deep dive into Polars, a fast DataFrame library. This 4 hour tutorial, led by Marco Gorelli a distinguished polars expert, covers the basics, advanced techniques, and overcoming challenges in data processing with Polars. 2 April. (Requires separate ticket)

Data Processing with Apache Spark and Apache Iceberg

Explore advanced data management techniques with Apache Spark and Apache Iceberg in this dynamic workshop, designed for data professionals. Enhance your skills in schema evolution, efficient file management, and more. 4 hour long tutorial on 2 April. (Requires separate ticket)

Call for proposals

Do not miss your chance to present at PyCon Lithuania 2024! Submit your talk or activity proposal now and share your knowledge with the Python and PyData community. Take part in shaping the future of Python development and make a lasting impact at PyCon Lithuania 2024!
Only 0 days and 0 hours left to submit your proposal!
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Venue

The event will take place in the SMK University of Applied Social Sciences, located in the heart of Vilnius, Lithuania.
SMK

Hotel

Are you not from Vilnius. You might want to check this out
Novotel

Keynotes

Ines Montani

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
Daniel Roy Greenfeld

Daniel Roy Greenfeld

  • Author of Two Scoops of Django,
  • Works to address global climate change,
  • Does Brasilian Jiu-Jitsu,
  • Formerly NASA
Ritchie Vink

Ritchie Vink

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

Tom Christie

  • Creator of Django REST Framework (DRF),
  • Creator of httpx, A next-generation HTTP client for Python,
  • Creator of Starlette, the backbone of FastAPI,
  • Passionate about building web APIs,
  • Director at Encode
Arjan Egges

Arjan Egges

  • Known as ArjanCodes on YouTube,
  • Software developer and educator with a passion for building beautiful, efficient, and reliable software,
  • Posts weekly videos on YouTube about programming (mostly in Python), software design, testing, and architecture,
  • Also creates online courses on these subjects
Robert Smallshire

Robert Smallshire

  • 25 years of Python in the energy and ed-tech sectors,
  • Robert’s Python training courses on Pluralsight have accumulated 1.9 million hours of view time and reached over 1 million paying subscribers,
  • Co-author of The Python Apprentice, The Python Journeyman, and The Python Master trilogy

Confirmed talks

Here is a list of already confirmed talks.
  • Reception
  • Watsonx: A GenAI platform that's built for business
  • Keynote by Daniel Roy Greenfeld
  • Opening
  • Aligning and Using an Open-Source LLM
  • How we Develop and Maintain a Modern Python Service at Mozilla: Merino as Example
  • Using Rust & PyO3 to make Pydantic v2 even faster
  • Unleashing Python's potential with MAX Platform
  • Scaling, Refactoring and fixing a Django MVP for Production
  • functime: a next generation ML forecasting library powered by Polars
  • Introduction to Polars DataFrames - how to supercharge your data workflows
  • Object Oriented Programing the way it should be
  • The role of Rust, Zig and C++ in the Python ecosystem
  • 🧼 From GPU-poor to data-rich: data quality practices for LLM fine-tuning
  • Making an e-shop search bar your friend with Pinecone's hybrid search
  • Speed up open source LLM-serving with llama-cpp-python
  • Grokking Event-Driven Web App with Python
  • DataFrame interoperatiblity - what's been achieved, and what comes next?
  • Understanding ChatGPT: Embeddings, Transformers and Reinforcement Learning with Human Feedback
  • 503 days working full-time on FOSS: lessons learned
  • Deadcode - a tool to find and fix dead (unused) Python code
  • analyzing stdf production test data in the silicon manufacturing industry using construct
  • Write-Audit-Publish Pattern in Modern Data Pipelines
  • Cracking the Code: Decoding Anti-Bot Systems!
  • Designing for tomorrow's programming workflows
  • Transcend the Knowledge Barriers in RAG: Setup, Chat State, and More
  • The pragmatic Pythonic data engineer
  • Generative AI in Lithuanian language
  • Pointers? In My Python?
  • Lessons Learned From Maintaining SDK in Python for Three Years
  • Transforming Data Insights: Creating Dynamic Animated Stories with Python and ipyvizzu-story
  • [MLOps] CI/CD in the age of Machine Learning
  • Customizing LLMs: A Guide to Fine-Tuning Open Source Models
  • RAG on KDTree
  • µDjango 2.0, an asynchronous microservices technique.
  • Encode OSS: Funding open source development
  • Your proposal: Data Harvest: Unlocking Insights with Web Scraping
  • Let’s create a Python Debugger together
  • FastDjango: Conjuring Powerful APIs with the Sorcery of Django Ninja
  • Python package creation using bleeding edge toolset
  • How to Utilize Machine Learning for Better Web Scraping
  • Revenue based scoring in `GridSearchCV`: a case for the new metadata routing in scikit-learn
  • A 101 in time series analytics with Apache Arrow, Pandas and Parquet
  • Data Processing with Apache Spark and Apache Iceberg
  • Deep Dive into Asynchronous SQLAlchemy - Transactions and Connections
  • Python behind the scenes of Danske Bank's Cloud Migration at Scale
  • Dancing with Design
  • Streaming DataFrames: A New Way to Process Streaming Data in Python
  • Wargaming Quiz
  • Lunch

Tickets

Buying tickets early is highly recommended because prices are increasing. By purchasing your tickets in advance, you can secure your spot at the event and avoid potential price hikes closer to the date. Don't miss out on this opportunity to attend PyCon Lithuania 2024 at a more affordable price. Act now and secure your tickets!

Meet our speakers!

Robert DzisevičDaniel Roy GreenfeldMonika VenčkauskaitėTaddes (Tadas) KorrisDavid HewittAntanas DaujotisPiotr GrykoLuca BaggiMarco GorelliLaimonas SutkusCristián Maureira-FredesGabriel Martín BlázquezDavid BerensteinMartynas VenckusIsaac ChungTung HoangRodrigo Girão SerrãoAlbertas GimbutasFranz HaasTomas PeluritisFabien VauchellesMatthew HonnibalRobson JuniorVytautas BielinskasEli HoldernessAdam FurmanekPeter VidosEmmanuel-Lin ToulemondeMaria Jose Molina ContrerasJan BartnitskyMaxim DanilovYuliia BarabashJohannes BechbergerJulius BoakyeTadas GedgaudasAdrin JalaliZoe SteinkampDamian WysockiRomualdasRobert SmallshireTomáš Neubauer

We are early this year! Just right after Easter!

The conference is scheduled to take place nearly two months earlier than usual! While you may have become accustomed to our gatherings at the end of May, this year, we will convene at the beginning of April. Join us for the week following Easter!

What now?

- Any other ideas? Let us know by email info@PyCon.LT

Our Sponsors

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PyData
Python Software Foundation
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Explosion
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