Tutorial Session List
Accelerate Python with Julia
Stephan Sahm
You want to accelerate your Python code, but going C is too tedious? Julia is a fresh alternative which flows like Python and runs like C. Join this tutorial to learn how to use Julia to easily speed up Python.
Aspect-oriented Programming - Diving deep into Decorators
Mike Müller
Effectively programming cross-cutting task with decorators - Code re-use via the @ symbol
Building Hexagonal Python Services
Shahriyar Rzayev
Building Hexagonal Python Services from scratch using Repository, Unit of Work and Use Cases patterns
Contributing to an open-source content library for NLP
Leonard Püttmann
Learn to build amazing open-source enrichments for natural language processing!
Create interactive Jupyter websites with JupyterLite
Jeremy Tuloup
Do you want to create your own interactive Jupyter website with JupyterLite? Check out this step-by-step tutorial and learn how to configure and customize your website 💡
Data Kata: Ensemble programming with Pydantic #1
Lev Konstantinovskiy, Gregor Riegler, Nitsan Avni
Write code as an ensemble to solve a data validation problem using P. Working together is not just about code - we will see what it is like to listen to colleagues, make typos in front of everyone, become a supportive team member, defend our ideas and maybe even accept criticism.
Data Kata: Ensemble programming with Pydantic #2
Lev Konstantinovskiy, Gregor Riegler, Nitsan Avni
Write code as an ensemble to solve a data validation problem with Py. Working together is not just about code - we will see what it is like to listen to colleagues, make typos in front of everyone, become a supportive team member, defend our ideas and maybe even accept criticism.
Geospatial Data Processing with Python: A Comprehensive Tutorial
Martin Christen
Learn how to use Python to process geospatial data in this comprehensive tutorial! You'll gain hands-on experience with many Geo modules, learning how to read and write spatial data, perform coordinate system transformations, create interactive maps, and more.
How to teach NLP to a newbie & get them started on their first project
Lisa Andreevna Chalaguine
Learn how to teach people to analyse textual data with the help of Python
Let's contribute to pandas (3 hours) #1
Noa Tamir, Patrick Hoefler
Join our beginner friendly, mentored contributing to @pandas_dev workshop at PyData Berlin! 🥳 #opensource #pandas
Let's contribute to pandas (3 hours) #2
Noa Tamir, Patrick Hoefler
Join our beginner friendly, mentored contributing to @pandas_dev workshop at PyData Berlin! 🥳 #opensource #pandas
Most of you don't need Spark. Large-scale data management on a budget with Python
Guillem Borrell
Most of you don't need Spark. Large-scale data management on a budget with Python
Practical Session: Learning on Heterogeneous Graphs with PyG
Ramona Bendias, Matthias Fey
Building and learning on heterogeneous graphs with PyG in a practical session
The Battle of Giants: Causality vs NLP => From Theory to Practice
Aleksander Molak
Join us for a workshop on the latest advances in Causal NLP to see the Causal Transformer in action! All in Python! ❤️
Workshop on Privilege and Ethics in Data
Tereza Iofciu, Paula Gonzalez Avalos
Data-driven Products are built by humans. Humans are intrinsically biased. This bias goes into the products, which amplifies the original bias. In this tutorial, you will learn how to identify your biases and reflect on the consequences of unchecked biases in Data Products.
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