EuroPython 2018 Sessions
This is our complete list of sessions for EuroPython 2018 conference, again with more than 150 sessions in total, held by more than 130 speakers.
Keynotes
- Citizen Science with Python by Ian Ozsvald
- Die Threads by David Beazley
- How to Ignore Most Startup Advice and Build a Decent Software Business by Ines Montani
- White Mars: living far away from any form of life by Marco Buttu
Talks
- 10 years of EuroPython and the Python community by Dougal Matthews
- A Jupyter Enhancement Proposal Story by Raniere Silva, Tania Sanchez Monroy
- A Python implementation in Rust? by Windel Bouwman
- A tale of refactoring by Emmanuelle Delescolle
- A Taxonomy of Decorators: A-E by Andy Fundinger
- Addressing multithreading and multiprocessing in transparent and Pythonic ways by David Liu
- Adventures in compatibility: emulating CPython's C API in PyPy by Ronan Lamy
- Air Quality & Python: Developing Online Analysis Tools by Douglas Finch
- All You Need is Pandas: Unexpected Success Stories by Dimiter Naydenov
- asyncio in Practice: We Did It Wrong by Lynn Root
- Asyncio in production by Hrafn Eiriksson
- Asyncio in Python 3.7 and 3.8. by Yury Selivanov
- Autism in development by Ed Singleton
- Automating testing and deployment with Github and Travis by Alex Grönholm
- Bad hotel again? Find your perfect match! by Elisabetta Bergamini
- Bridging the Gap: from Data Science to Production by Florian Wilhelm
- Building a Naive Bayes Text Classifier with scikit-learn by Obiamaka Agbaneje
- Building a Question Answering System using Deep Learning Techniques by Rricha Jalota
- Building new NLP solutions with spaCy and Prodigy by Matthew Honnibal
- Bytecodes and stacks: A look at CPython’s compiler and its execution model by Petr Viktorin
- CatBoost - the new generation of Gradient Boosting by Anna Veronika Dorogush
- Change music in two epochs by Marcel Raas
- Code Review Skills for Pythonistas by Nina Zakharenko
- Creating a Culture of Software Craftsmanship by Keith Harrison
- Creating Solid APIs by Rivo Laks
- Cython to speed up your Python code by Stefan Behnel
- Data is not flat by Alisa Dammer
- Debugging Your Code with Data Visualization by James Saryerwinnie
- Deep Learning with PyTorch for Fun and Profit by Alexander Hendorf
- Developing in a black hole: vim, tmux, httpie and jq by Francisco Javier Aceituno Lapido
- Django queries optimization by Ivaylo Donchev
- Django structure for scale and longevity by Radoslav Georgiev
- Domain-Driven Design Patterns in Python by Robert Smallshire
- Easy interactive data applications with Dash by Matteo Guzzo
- EduBlocks - Making the transition to Python easier! by Joshua Lowe
- ETL pipeline to achieve reliability at scale by Isabel Lopez
- Exploring the Python AST Ecosystem by Chase Stevens
- Faster Python startup by Jeethu Rao
- From linear algebra to machine learning by Omar Gutiérrez
- From Zero to Azure with Python, Docker containers, and Visual Studio Code by Dan Taylor
- Fuzzy Matching - Smart Way of Finding Similar Names Using Fuzzywuzzy by Cheuk Ting Ho
- Get Productive with Python in Visual Studio Code by Dan Taylor
- Getting Started with Mypy and Type Checking by Jukka Lehtosalo
- Good features beat algorithms by Pietro Mascolo
- Hacking Reinforcement Learning by Guillem Duran
- Hello to the World in 8 Web Frameworks (micro, batteries included & async) by Aaron Bassett
- How async and await ended up in Python by Pavlin Gergov
- How can you use Open Source materials to learn Python & data science? by Kamila Stepniowska
- How do I get the job I want? by Franziska Schropp
- How is python used in biomolecular sciences? by Antonia Mey
- How to develop your project from an idea to architecture design in 50 minutes by Anastasiia Tymoshchuk
- How to make money using Python - Unused potential in the Enterprise World by Marc-Andre Lemburg
- How to Write Deployment-friendly Applications by Hynek Schlawack
- How to write Rust instead of C, and get away with it (yes, it's a Python talk) by Antonio Verardi, Flavien Raynaud
- Industrial Machine Learning Pipelines with Python & Airflow by Alejandro Saucedo
- Integration Tests with Super Powers by Alexandre Figura
- Interoperability Rules for an European API Ecosystem: do we still need SOAP? by Roberto Polli
- Introduction to sentiment analysis with spaCy by Thomas Aglassinger
- Is your code tainted? Finding security vulnerabilities using taint-tracking. by Mark Shannon
- Iteration Inside Out - Python's Iteration Protocol by Naomi Ceder
- JavaScript for Python Developers by Žan Anderle
- Leadership of Technical Teams by Owen Campbell
- Let’s Build a Python Profiler in 25 LOC by Noam Elfanbaum
- Let’s embrace WebAssembly! by Almar Klein
- Lies, damned lies, and statistics by Marco Bonzanini
- Marge: A bot for better Git'ing by Mika Boström, Alexander Schmolck
- May the Fuzz be with you by Heidi Thorpe
- Microservices and Serverless in Python projects by Jose Manuel Ortega
- Mocks, fakes, dummies, stubs and spies: Successfully isolating the snake by Mario Corchero
- More Than You Ever Wanted To Know About Python Functions by Mark Smith
- My Story with Python and Open Source by Nicola Iarocci
- PEP 557* versus the world by Guillaume Gelin
- Postgres at any scale by Craig Kerstiens
- Processing Geodata using Python and Open Source Modules by Martin Christen
- Productionizing your ML code seamlessly by Lauris Jullien
- Programming paradigms for physical computing and IoT by Ben Nuttall
- Proper Django Testing by Martin Angelov
- PyPI: Past, Present and Future by Nicole Harris
- Python 2 is dead! Drag your old code into the modern age. by Becky Smith
- Python 3: ten years later by Victor Stinner
- Python and GraphQL by Alec MacQueen
- Python and Web Sockets by Anton Caceres
- Python Decorators: Gift or Poison? by Anastasiia Tymoshchuk
- Python in scientific computing: what works and what doesn't by Michele Simionato
- Python on Windows is Okay, Actually by Steve Dower
- Python, Docker, Kubernetes, and beyond ? by Peter Babics
- Pythonic code vs. performance by Łukasz Kąkol
- Quantum Computing: a Very Gentle Glimpse into a Possible Future by Nick Radcliffe
- Quart a asyncio alternative to Flask by Philip Jones
- Recipe for text analysis in social media: by Eulalia Veny
- Recursion, Fractals, and the Python Turtle Module by Hayley Denbraver
- Rehabilitating Pickle by Alex Willmer
- Reliability in distributed systems by Jiri Benes
- reno: A New Way to Manage Release Notes by Doug Hellmann
- Rust and Python - Oxidize Your Snake by Sven-Hendrik Haase
- SSLError, now what? by Christian Heimes
- Standardize Testing in Python by Bernat Gabor
- Succinct data structures for python by Konstantin Ignatov
- System testing with Pytest, Docker, and Flask by Neil Gall
- The Boring Python Office Talk - Automate Powerpoint, Excel, and PDF with Python by Stefan Baerisch
- The Challenges of Maintaining a Popular Open-Source Project by Raphael Pierzina
- The naïve programmer by Daniele Procida
- The rise of Python in the data communities by Alexys Jacob
- The Web is Terrifying! Using the PyData stack to spy on the spies. by Sarah Bird
- Trio: A pythonic way to do async programming by Emmanuel Leblond
- Trust me, I'm a Data Scientist - ethics for builders of data-based applications by Sarah Diot-Girard
- Type annotations with larger codebases by Stephan Jaensch
- Understanding and Applying CQRS by Vinicius Pacheco
- Understanding and Implementing Recurrent Neural Networks using Python by Anmol Krishan Sachdeva
- Using Bonobo, Airflow and Grafana to visualize your business by Romain Dorgueil
- Using Pandas and Dask to work with large columnar datasets in Apache Parquet by Peter Hoffmann
- Walking the Random Forest and boosting the trees by Kevin Lemagnen
- Washing away code smells by Yenny Cheung
- What makes coding for MicroPython different? by Andrey Vlasovskikh
- What's new in Python 3.7 by Stephane Wirtel
- When to use Machine Learning: Tips, Tricks and Warnings by Pascal van Kooten
- Why develop a CLI (Command Line Interface) first? by Steve Barnes
- Winning card games with 1000+ CPUs by vincent warmerdam, Bas Harenslak
- Writing good error messages by Paul Keating
Training sessions
- A Python-flavored Introduction to Containers And Kubernetes by Ruben Orduz
- Best Practices for a Blazing Fast Machine Learning Pipeline by David Liu
- Build, Deploy, Win with Serverless Applications by Kyle Knapp
- Building your own sports trading bot by Tomasz Dziopa, Heitor Credidio, João Alves
- Data Wrangling & Visualisation with Pandas & Jupyter by Alexander Hendorf
- Descriptors and Metaclasses - Understanding Python's More Advanced Features by Mike Müller
- Fast native code with Cython by Stefan Behnel
- Get your documentation right by Daniele Procida
- Introduction to Big Data Processing using Spark and Python by Raoul-Gabriel Urma
- Introduction to Pandas, Testing and Test-Driven Data Analysis by Nick Radcliffe
- Privacy for Data Scientists by Andreas Dewes, Katharine Jarmul
- Real-time transcription and sentiment analysis of audio streams by Aaron Bassett
- Ridiculously Advanced Python by Francesco Pierfederici
- Technologies to master Parallelism in Python by Shailen Sobhee
- Writing and Running Tests in Docker by Alexandre Figura
Poster sessions
- Asynchronous operations at scale by Hubert Bryłkowski
- Best practices for elegant experimentation in data science projects (case study) by K K
- Cloud-Agnostic Deployment of Distributed TensorFlow by Javier Jorge
- Create your own Artificial Intelligence to monitor your Linux System! by Maha Mdini
- Discovering the nuclear reactor’s stability with SLEPc and Python by Javier Jorge
- Double the money you give PSF, etc., without paying more! by Steve Barnes
- Fifty Shades of Disaster - Human Error and Complex Systems by Paul Ross
- Hardening Plaintext Secrets in Configuration Files by Moisés Guimarães
- Human Mobility Patterns by Antonia Tugores
- introduce Python community/conf, and cross region community in Asia. by Noah Cse
- Making neural networks portable with ONNX by Michał Karzyński
- Plone and modern frontend frameworks by Paul Roeland
- Python and Raspberry Pi by Ben Nuttall
- Python Game Console by Radomir Dopieralski
- What do a model boat and a giant laser have in common? by Thomas Kluyver
Interactive sessions
- No sessions have been selected yet.
Help desks
Help desks provide slots for attendees to discuss their problems one-on-one with experts from the projects.
- Basic Data Science tools by Sarah Diot-Girard, Maha Mdini
- Extending Python with C/C++ by Paul Ross
- Help desk: choosing (or not) the right NoSQL database by Alexys Jacob
- OpenStack Help Desk by Dougal Matthews, Daniel Abad
- The pytest/tox/devpi help desk by Oliver Bestwalter