Saturday

main!

Time Name
9:00 Door opens
9:15 Intro
9:30 Keynote: Mike Muller. Why I Like the Second Best. 20 Years of Python - Ready for 20 more
10:15 Keynote: Hynek Schlawack. Maintaining a Python Project When It’s Not Your Job
11:00 End of keynotes

General!

Time Name
11:00 Pēteris Caune. Building an Open-source Django Side-project Into a Business;
11:30 Steph Samson. Tooling with Poetry
12:00 Coffee
13:00 Migle Gabrielaite. Can python help save lifes?
13:30 Eivydas Vilčinskas. System Administrators: to Python or not to Python
14:00 Lunch
15:00 Ibukun Oluwayomi. Aspect Oriented Programming in Python
15:30 Albertas Gimbutas. Auto Mock External Dependencies in Python Tests
16:00 Coffee
16:30 Hynek Schlawack. How to write deployment friendly application
17:00 Hynek Schlawack. How to write deployment friendly application
17:30 Lightning talks
18:00 End

PyData

Time Name
11:00 Sarah Diot Girard and Stéphanie Bracaloni. From ML experiments to production: versioning and reproducibility with MLV-tools
11:30 Justin Shenk. Pitfalls of emotion detection from video in production
12:00 Coffee
13:00 Jan Pipek. Fun with histograms and the physt library
13:30 Radovan Kavicky. Data Science in Python: Past, Present and Future
14:00 Lunch
15:00 Valentas Gružauskas. Agent-based Modelling and Reinforcement Learning for Route Scheduling: Integrating Open Source Software
15:30 Maciej Marek. Data Science at PMI - The Tools of The Trade
16:00 Coffee
16:30 Marcin Szymaniuk. PySpark - Data intensive processing in practice
17:00 Tomasz Chabinka. Embeddings: advanced dimension reduction technique in practice
17:30 Lightning
18:00 End

General Workshop

Time Name
11:00 Ibukun Oluwayomi. Container based architecture for Django applications
12:00 Coffee
13:00 Anvil workshop: full-stack web apps with nothing but Python
14:00 Lunch
15:00 ---
16:00 Coffee
16:30 ---
17:30 End

PyData Workshop

Time Name
11:00 Tomasz Chabinka. Introduction to DevOps for Data Scientists and ML Engineers
12:00 Coffee
13:00 Tomasz Chabinka. Introduction to DevOps for Data Scientists and ML Engineers P2
14:00 Lunch
15:00 Stephanie Bracaloni & Sarah Diot Girard. How to easily set up and version your Machine Learning pipelines, using DVC and MLV-tools
16:00 Coffee
16:30 Stephanie Bracaloni & Sarah Diot Girard. How to easily set up and version your Machine Learning pipelines, using DVC and MLV-tools P2
17:30 End

Sunday

main!

Time Name
9:00 Door opens
9:15 Intro
9:30 Keynote: Ian Ozsvald. Citizen Science with Python
10:15 Keynote: John Bywater. Events: The New Object Orientation
11:00 End of keynotes

General!

Time Name
11:00 Vijayakumar Ravindran. Enabling Autonomous Cloud Native infra as a code powered by Python
11:30 Šarūnas Navickas. Practical NLP
12:00 Coffee
13:00 Jurgis Pralgauskis. The Power of Dict
13:30 Inga Popovaite. Using Python automated text processing to study group behavior in space analog facilities
14:00 Lunch
15:00 Andrius Žilėnas. Computer Aided Innovation (CAI): what's state of the art now and expectations for the future
15:30 Enno Lohmeier. Security pitfalls of Python applications in production environments
16:00 Coffee
16:30 Mantas Urbonas. Porting Python to Lithuanian syntax in order to teach your 7-years-old kid to code
17:00 Vladimir Puzakov. How to deploy your python microservices with Kubernetes
17:30 Lightning talks
18:00 End

PyData

Time Name
11:00 Martin Christen. Geodata processing using Python and JupyterHub
11:30 Chetan Khatri. Challenges that everyone struggles while productionizing Apache Spark workloads
12:00 Coffee
13:00 Gediminas Žylius. How to use machine learning for better ranking results? The curious case of HomeToGo.
13:30 Joonatan Samuel. Machine learning project anatomy
14:00 Lunch
15:00 Piotr Migdał. Visualizing machine learning - from confusion matrices to a game
15:30 Oleg Shydlouski. Data pipelines. Slice and dice your data.
16:00 Coffee
16:30 Matas Šeimys. Moving a machine learning app from notebook to production
17:00 Lightning talks
17:30 End

General Workshop

Time Name
11:00 Dom Weldon. Interactive Data Visualization Web Apps with no JavaScript: what you can, should and probably shouldn't do with plotly/Dash. p1
12:00 Coffee
13:00 John Bywater. Introduction to eventsourcing
14:00 Lunch
15:00 Christopher Lozinski. Pug Training
16:00 Coffee
16:30 Christopher Lozinski. PyOdide/Iodide Tutorial
17:30 End

General

Time Name
11:00 Justin Shenk. Visualizing PyTorch and Keras layer saturation with delve
12:00 Coffee
13:00 ---
14:00 Lunch
15:00 Mridul Seth. Network Science, Game of Thrones and Airports
16:00 Coffee
16:30 Oleg Shydlouski. Data pipelines. Slice and dice your data.
17:30 End

Schedule is preliminary and is a subject of change. Keep an eye on this page to get most uptodate schedule verison!

Talk details can be found here