PyCon Sweden

Talk (Software - Day 2) - Python++? Here's how, and why not

Reinventing Machine Learning with Transformers and Hugging Face by Keynote speaker Julien Simon

A Python Introduction to Behavior Driven Development by Meder Kamalov

Analyzing data with Pandas - PyCon SE 2015

I hate writing tests, thats why I use Hypothesis by Cheuk Ting Ho

Day 1 - Conference Opening

Accelerating Scientific Computing using Numba

Keynote (Day 2) - The best way to learn Python - for the absolute beginners and improvers

I want you to write less Python code

Python for Everyone, yes it is by Anwesha Das

Moving our Django Monolith to Google Cloud by Arthur Koziel & Aysin Oruz

How Python drives the analysis of billions of DNA sequences - PyCon SE 2015

Talk (Software - Day 1) - Unpack Python Packages 📦 – Deep dive into the wheels of python packaging

Equip your performance toolbox Cython vs Pybind11 by Gavin Chan

Seamlessly adding extra parameters to a function: anatomy of a meta-decorator

Talk (Software - Day 1) - Robyn: An async python web framework with a Rust runtime

Chasing birds with code by Chayim Kirshen and Meir Shpilraien

CALFEM - Teaching the Finite Element method in Python by Jonas Lindemann

Kivy: Cross-platform App development for Pythonistas by Mirko Galimberti

Building a Production Ready Search Engine using Python and Elasticsearch

Talk (Software - Day 2) - Rules Rule (Creating and Using a Rules Engine)

Big Data Pipeline Design and Tuning in PySpark by Rockie Yang

Igor Mosyagin - Python in science: A case study

Magnus Hagander - Enhancing your Python database experience with PostgreSQL

Distributed Data pipelines in Python

Writing Prometheus Exporters in Python

How to build a Python web application with Flask and Neo4j - PyCon SE 2015

Creative coding in Python

Why Python is huge in finance? by Daniel Roos

Test Driven Development with Python and Django - PyCon SE 2015

Load testing with Python and Locust by Lars Holmberg

Design Patterns in Python by Peter Ullrich

Talk (Data - Day 1) - Infrastructure as code for Data Science using Python

Data Classes, in Python 3.6 and beyond by Alexander Hultnér

Talk (Data - Day 2) - Using optimal decision making tools for balancing in-game economies