Schedule · EuroPython 2018 · Edinburgh, UK, 23-29 July 2018

Beta version, small changes could be introduced to meet speakers' necessities.

Monday, 23 July 2018

09:30

11:00

11:15

12:45

13:45

15:00

15:15

18:00

09:30 Francesco Pierfederici

Ridiculously Advanced Python

Software Design Type-Hinting Meta Classes Programming Python 3

advanced

09:30 Francesco Pierfederici

Ridiculously Advanced Python

Software Design Type-Hinting Meta Classes Programming Python 3

advanced

Coffee Break (Strathblane Hall)

11:15 Francesco Pierfederici

Ridiculously Advanced Python

Software Design Type-Hinting Meta Classes Programming Python 3

advanced

Lunch (Strathblane Hall)

13:45 Ruben Orduz

A Python-flavored Introduction to Containers And Kubernetes

Docker DevOps general

beginner

Coffee Break (Strathblane Hall)

15:15 Ruben Orduz

A Python-flavored Introduction to Containers And Kubernetes

Docker DevOps general

beginner

End of day

09:30 Aaron Bassett

Real-time transcription and sentiment analysis of audio streams

Visualization JavaScript Natural Language Processing Machine-Learning Web Servers and MicroFWs (Flask/Tornado/Nginx/...)

intermediate

11:15 Aaron Bassett

Real-time transcription and sentiment analysis of audio streams

Visualization JavaScript Natural Language Processing Machine-Learning Web Servers and MicroFWs (Flask/Tornado/Nginx/...)

intermediate

13:45 Kyle Knapp

Build, Deploy, Win with Serverless Applications

Public Cloud (AWS/Google/...)Web Best Practice APIs Microservices

intermediate

15:15 Kyle Knapp

Build, Deploy, Win with Serverless Applications

Public Cloud (AWS/Google/...)Web Best Practice APIs Microservices

intermediate

09:30 Nick Radcliffe

Introduction to Pandas, Testing and Test-Driven Data Analysis

Test Driven Development (TDD)Data Science Testing Scientific Libraries (Numpy/Pandas/SciKit/...)

beginner

11:15 Nick Radcliffe

Introduction to Pandas, Testing and Test-Driven Data Analysis

Test Driven Development (TDD)Data Science Testing Scientific Libraries (Numpy/Pandas/SciKit/...)

beginner

13:45 Raoul-Gabriel Urma

Introduction to Big Data Processing using Spark and Python

Data Science Big Data Jupyter/iPython

beginner

15:15 Raoul-Gabriel Urma

Introduction to Big Data Processing using Spark and Python

Data Science Big Data Jupyter/iPython

beginner

Django Workshop for Women (separate registration needed)

Django Workshop for Women (separate registration needed)

Django Workshop for Women (separate registration needed)

Django Workshop for Women (separate registration needed)

09:30 David Liu

Best Practices for a Blazing Fast Machine Learning Pipeline

Scientific Libraries (Numpy/Pandas/SciKit/...)Data Science Machine-Learning

intermediate

11:15 David Liu

Best Practices for a Blazing Fast Machine Learning Pipeline

Scientific Libraries (Numpy/Pandas/SciKit/...)Data Science Machine-Learning

intermediate

Tuesday, 24 July 2018

09:30

11:00

11:15

12:45

13:45

15:00

15:15

18:00

09:30 Mike Müller

Descriptors and Metaclasses - Understanding Python's More Advanced Features

Best Practice Python general Programming Use Case

intermediate

Coffee Break (Strathblane Hall)

11:15 Mike Müller

Descriptors and Metaclasses - Understanding Python's More Advanced Features

Best Practice Python general Programming Use Case

intermediate

Lunch (Strathblane Hall)

13:45 Stefan Behnel

Fast native code with Cython

Cython Compiler and Interpreters C-Languages Performance

intermediate

Coffee Break (Strathblane Hall)

15:15 Stefan Behnel

Fast native code with Cython

Cython Compiler and Interpreters C-Languages Performance

intermediate

End of day

09:30 Alexandre Figura

Writing and Running Tests in Docker

Best Practice Docker Deployment/Continuous Integration and Delivery Test Libraries (pyTest/node/...)Tooling

beginner

11:15 Alexandre Figura

Writing and Running Tests in Docker

Best Practice Docker Deployment/Continuous Integration and Delivery Test Libraries (pyTest/node/...)Tooling

beginner

13:45 Daniele Procida

Get your documentation right

Documentation

beginner

15:15 Daniele Procida

Get your documentation right

Documentation

beginner

09:30 Alexander Hendorf

Data Wrangling & Visualisation with Pandas & Jupyter

Scientific Libraries (Numpy/Pandas/SciKit/...)Data Science Business Analytics

beginner

11:15 Alexander Hendorf

Data Wrangling & Visualisation with Pandas & Jupyter

Scientific Libraries (Numpy/Pandas/SciKit/...)Data Science Business Analytics

beginner

13:45 Andreas Dewes, Katharine Jarmul

Privacy for Data Scientists

Security Data Jupyter/iPython Machine-Learning Privacy

intermediate

15:15 Andreas Dewes, Katharine Jarmul

Privacy for Data Scientists

Security Data Jupyter/iPython Machine-Learning Privacy

intermediate

Beginner's Day (requires conference ticket, not a training pass)

Beginner's Day (requires conference ticket, not a training pass)

Beginner's Day (requires conference ticket, not a training pass)

Beginner's Day (requires conference ticket, not a training pass)

09:30 Shailen Sobhee

Technologies to master Parallelism in Python

Performance Multi-Threading Scientific Libraries (Numpy/Pandas/SciKit/...)Multi-Processing

advanced

11:15 Shailen Sobhee

Technologies to master Parallelism in Python

Performance Multi-Processing Scientific Libraries (Numpy/Pandas/SciKit/...)Multi-Threading

advanced

13:45 Tomasz Dziopa, Heitor Credidio, João Alves

Building your own sports trading bot

python Trading APIs

intermediate

15:15 Tomasz Dziopa, Heitor Credidio, João Alves

Building your own sports trading bot

python Trading APIs

intermediate

Wednesday, 25 July 2018

09:00

09:15

10:00

10:30

11:20

12:10

13:00

13:45

14:00

14:35

15:05

15:30

16:05

16:35

16:45

17:30

18:30

Opening session

09:15 David Beazley

Die Threads

Python general ASYNC / Concurreny Multi-Threading

beginner

Coffee break (Lennox)

10:30 Christian Heimes

SSLError, now what?

Security Infrastructure HTTP failures/mistakes Internet

intermediate

11:20 Jiri Benes

Reliability in distributed systems

Best Practice Microservices Engineering Architecture failures/mistakes

beginner

12:10 Ronan Lamy

Adventures in compatibility: emulating CPython's C API in PyPy

PyPy Compiler and Interpreters C-Languages Scientific Libraries (Numpy/Pandas/SciKit/...)

advanced

Lunch (Lennox)

14:00 Becky Smith

Python 2 is dead! Drag your old code into the modern age.

Case Study GEO and GIS Python 3 Django

beginner

14:35 Stephane Wirtel

What's new in Python 3.7

Python general ASYNC / Concurreny CPython

beginner

Coffee break (Lennox)

15:30 Nick Radcliffe

Quantum Computing: a Very Gentle Glimpse into a Possible Future

Other Hardware Universe Mind Bending Physics Cryptography

beginner

16:05 Hayley Denbraver

Recursion, Fractals, and the Python Turtle Module

Beginners Fun and Humor Education Python general

beginner

Technical break

16:45 Marco Buttu

White Mars: living far away from any form of life

Science Case Study

beginner

Lightning talks

End of day

10:30 Anmol Krishan Sachdeva

Understanding and Implementing Recurrent Neural Networks using Python

Visualization Data Science Developing with Python Track Machine-Learning Deep Learning

intermediate

11:20 Florian Wilhelm

Bridging the Gap: from Data Science to Production

Best Practice Data Science Clean Code DevOps general Business

beginner

12:10 Romain Dorgueil

Using Bonobo, Airflow and Grafana to visualize your business

Case Study Databases Open-Source Business Analytics

intermediate

14:00 Cheuk Ting Ho

Fuzzy Matching - Smart Way of Finding Similar Names Using Fuzzywuzzy

Beginners Case Study Data Open-Source Natural Language Processing

beginner

14:35 Eulalia Veny

Recipe for text analysis in social media:

Case Study Notebook Natural Language Processing

beginner

15:30 Elisabetta Bergamini

Bad hotel again? Find your perfect match!

Data Science Machine-Learning Natural Language Processing

beginner

16:05 Franziska Schropp

How do I get the job I want?

The Answer to Life the Universe and Everything Else workforce Community

beginner

10:30 Michele Simionato

Python in scientific computing: what works and what doesn't

Science Case Study Scientific Libraries (Numpy/Pandas/SciKit/...)

intermediate

11:20 Guillem Duran

Hacking Reinforcement Learning

Science Case Study Algorithms The Answer to Life the Universe and Everything Else Deep Learning

intermediate

12:10 Peter Hoffmann

Using Pandas and Dask to work with large columnar datasets in Apache Parquet

python Scientific Libraries (Numpy/Pandas/SciKit/...)Big Data NoSQL Databases

intermediate

14:00 Antonia Mey

How is python used in biomolecular sciences?

Physics Visualization Data Jupyter/iPython Scientific Libraries (Numpy/Pandas/SciKit/...)

intermediate

14:35 Dimiter Naydenov

All You Need is Pandas: Unexpected Success Stories

intermediate

15:30 Isabel Lopez

ETL pipeline to achieve reliability at scale

Case Study Python 3 Big Data Scientific Libraries (Numpy/Pandas/SciKit/...)

beginner

16:05 Raniere Silva, Tania Sanchez Monroy

A Jupyter Enhancement Proposal Story

Case Study Jupyter/iPython Community

beginner

10:30 Yury Selivanov

Asyncio in Python 3.7 and 3.8.

Best Practice Distributed Systems ASYNC / Concurreny failures/mistakes Use Case

intermediate

11:20 Łukasz Kąkol

Pythonic code vs. performance

python Performance Best Practice Programming failures/mistakes

beginner

12:10 Owen Campbell

Leadership of Technical Teams

Best Practice Business

beginner

14:00 Steve Dower

Python on Windows is Okay, Actually

Windows Best Practice Cross-Platform-Development CPython

beginner

14:35 Ed Singleton

Autism in development

The Answer to Life the Universe and Everything Else Diversity workforce Community

beginner

15:30 Doug Hellmann

reno: A New Way to Manage Release Notes

Tooling Open-Source

beginner

16:05 Peter Babics

Python, Docker, Kubernetes, and beyond ?

Docker Infrastructure Deployment/Continuous Integration and Delivery

beginner

10:30 Antonio Verardi, Flavien Raynaud

How to write Rust instead of C, and get away with it (yes, it's a Python talk)

Performance CPython C-Languages

intermediate

11:20 Craig Kerstiens

Postgres at any scale

PostgreSQL Databases

intermediate

12:10 Noam Elfanbaum

Let’s Build a Python Profiler in 25 LOC

Performance CPython

intermediate

14:00 Emmanuel Leblond

Trio: A pythonic way to do async programming

Open-Source Programming ASYNC / Concurreny Architecture

intermediate

14:35 Andrey Vlasovskikh

What makes coding for MicroPython different?

Internet of Things (IoT)MicroPython Programming Tooling Architecture

intermediate

15:30 Hrafn Eiriksson

Asyncio in production

Python 3 ASYNC / Concurreny

intermediate

16:05 Almar Klein

Let’s embrace WebAssembly!

Web Community All Other Programming Languages

intermediate

10:30 Daniele Procida

The naïve programmer

Beginners Best Practice Education Learning

beginner

11:20 Nicola Iarocci

My Story with Python and Open Source

python Open-Source

beginner

12:10 Anastasiia Tymoshchuk

Python Decorators: Gift or Poison?

Best Practice Python general Clean Code failures/mistakes Use Case

beginner

14:00 Anastasiia Tymoshchuk

How to develop your project from an idea to architecture design in 50 minutes

Software Design Data Structures Architecture Code Analysis Use Case

beginner

15:30 Dan Taylor

From Zero to Azure with Python, Docker containers, and Visual Studio Code

Windows Web Docker Cross-Platform-Development

beginner

16:05 Yenny Cheung

Washing away code smells

Beginners Best Practice legacy-code Clean Code Software Design

beginner

10:00 Alexys Jacob

Help desk: choosing (or not) the right NoSQL database

System Architecture Infrastructure NoSQL Distributed Systems Databases

beginner

13:45 Oliver Bestwalter

The pytest/tox/devpi help desk

Best Practice Packaging Testing

beginner

13:45 Hubert Bryłkowski

Asynchronous operations at scale

Performance Microservices ASYNC / Concurreny Architecture Multi-Processing

beginner

13:45 Paul Ross

Fifty Shades of Disaster - Human Error and Complex Systems

Operations Case Study Best Practice DevOps general failures/mistakes

beginner

13:45 Steve Barnes

Double the money you give PSF, etc., without paying more!

Python Software Foundation (PSF)EPS The Answer to Life the Universe and Everything Else

beginner

Thursday, 26 July 2018

09:00

09:15

10:00

10:30

11:20

12:10

13:00

13:45

14:00

14:35

15:05

15:30

16:05

16:35

16:45

17:30

17:45

18:30

Morning Anouncements

09:15 Nicole Harris

PyPI: Past, Present and Future

PyPi

beginner

Coffee break (Lennox)

10:30 Hynek Schlawack

How to Write Deployment-friendly Applications

Best Practice Scaling Deployment/Continuous Integration and Delivery Architecture DevOps general

intermediate

11:20 Roberto Polli

Interoperability Rules for an European API Ecosystem: do we still need SOAP?

Best Practice Scaling APIs RESTful Privacy

beginner

12:10 Vinicius Pacheco

Understanding and Applying CQRS

Software Design python Architecture

intermediate

Lunch (Lennox)

14:00 Marc-Andre Lemburg

How to make money using Python - Unused potential in the Enterprise World

Best Practice Python general Business Use Case

beginner

14:35 Mark Smith

More Than You Ever Wanted To Know About Python Functions

Type-Hinting Mind Bending Programming Functional Programming

intermediate

Coffee break (Lennox)

15:30 Dougal Matthews

10 years of EuroPython and the Python community

EuroPython Community

beginner

16:05 Mika Boström, Alexander Schmolck

Marge: A bot for better Git'ing

Best Practice Development Deployment/Continuous Integration and Delivery Git Tooling

beginner

Technical break

16:45 Ines Montani

How to Ignore Most Startup Advice and Build a Decent Software Business

Best Practice Natural Language Processing Business failures/mistakes Use Case

beginner

Why Python is at the heart of Smarkets

Smarkets is heavily invested in Python and this is why we've decided to be the Keystone sponsor of EuroPython 2018! In this talk, we'll tell you more about what we do at Smarkets, why we think we're a unique place to work, the interesting things we're doing at the Conference and of course how we use Python every day. We'll also tell you about some of our current challenges in upgrading from 3.6 to 3.7, evaluating asyncio in production and what we've learned from type hinting over the past two years.

Lightning talks

End of day

10:30 Anna Veronika Dorogush

CatBoost - the new generation of Gradient Boosting

Big Data Data Science Open-Source Machine-Learning

beginner

11:20 Kamila Stepniowska

How can you use Open Source materials to learn Python & data science?

Community Education Diversity Open-Source Learning

beginner

12:10 Thomas Aglassinger

Introduction to sentiment analysis with spaCy

Beginners Notebook Programming Natural Language Processing

intermediate

14:00 Alisa Dammer

Data is not flat

Data Data Science Algorithms Machine-Learning

intermediate

14:35 Obiamaka Agbaneje

Building a Naive Bayes Text Classifier with scikit-learn

Scientific Libraries (Numpy/Pandas/SciKit/...)Data Natural Language Processing

intermediate

15:30 Sarah Bird

The Web is Terrifying! Using the PyData stack to spy on the spies.

Visualization Data Science Data Web Crawling Privacy

beginner

16:05 Matthew Honnibal

Building new NLP solutions with spaCy and Prodigy

Deep Learning Data Science Natural Language Processing

beginner

10:30 Alexander Hendorf

Deep Learning with PyTorch for Fun and Profit

Best Practice Case Study Deep Learning failures/mistakes Natural Language Processing

beginner

11:20 Pascal van Kooten

When to use Machine Learning: Tips, Tricks and Warnings

Best Practice failures/mistakes Open-Source Machine-Learning Use Case

beginner

12:10 Alexys Jacob

The rise of Python in the data communities

Community Engineering Data Science DevOps general Big Data

beginner

14:00 James Saryerwinnie

Debugging Your Code with Data Visualization

Public Cloud (AWS/Google/...)Visualization Debugging Case Study

beginner

14:35 Alejandro Saucedo

Industrial Machine Learning Pipelines with Python & Airflow

Best Practice Deep Learning Distributed Systems Big Data Machine-Learning

intermediate

15:30 Heidi Thorpe

May the Fuzz be with you

python Security Testing Programming Data Science

intermediate

16:05 Konstantin Ignatov

Succinct data structures for python

Algorithms Data Science Track Structures C-Languages

intermediate

10:30 Stefan Behnel

Cython to speed up your Python code

Cython Compiler and Interpreters C-Languages Performance

intermediate

11:20 Jose Manuel Ortega

Microservices and Serverless in Python projects

Public Cloud (AWS/Google/...)Microservices Docker Architecture DevOps general

intermediate

12:10 Radoslav Georgiev

Django structure for scale and longevity

Best Practice Clean Code Python 3 failures/mistakes Django

intermediate

14:00 Naomi Ceder

Iteration Inside Out - Python's Iteration Protocol

Python 2 Programming Python general Python 3

beginner

14:35 Francisco Javier Aceituno Lapido

Developing in a black hole: vim, tmux, httpie and jq

Development Agile Unix Tooling Command-Line

beginner

15:30 Guillaume Gelin

PEP 557* versus the world

Software Design Data Structures Clean Code Python 3 Developing with Python Track

intermediate

16:05 Jukka Lehtosalo

Getting Started with Mypy and Type Checking

Best Practice Type-Hinting Tooling Code Analysis

intermediate

10:30 Tobey Announced

Recruiting Session [reserved]

Business

beginner

11:20 Aaron Bassett

Hello to the World in 8 Web Frameworks (micro, batteries included & async)

Fun and Humor Pyramid ASYNC / Concurreny Internet Django

beginner

12:10 Nina Zakharenko

Code Review Skills for Pythonistas

Development Programming Clean Code Open-Source Code Analysis

beginner

14:00 Lynn Root

asyncio in Practice: We Did It Wrong

Best Practice ASYNC / Concurreny failures/mistakes Multi-Threading

intermediate

14:35 Anton Caceres

Python and Web Sockets

Web Web Track Django ASYNC / Concurreny Web Servers and MicroFWs (Flask/Tornado/Nginx/...)

intermediate

15:30 Steve Barnes

Why develop a CLI (Command Line Interface) first?

Software Design Development Packaging Command-Line Cross-Platform-Development

intermediate

16:05 Martin Angelov

Proper Django Testing

Best Practice Django clients Testing APIs

beginner

10:30 Žan Anderle

JavaScript for Python Developers

Web JavaScript Web General JavaScript Web Frameworks (AngularJS/ReactJS/...)

intermediate

11:20 Ivaylo Donchev

Django queries optimization

Best Practice Django Databases PostgreSQL APIs

intermediate

12:10 Bernat Gabor

Standardize Testing in Python

Best Practice Agile Testing Python general Open-Source

beginner

14:00 Windel Bouwman

A Python implementation in Rust?

Compiler and Interpreters Python 3

intermediate

14:35 Mario Corchero

Mocks, fakes, dummies, stubs and spies: Successfully isolating the snake

python Testing Python general

intermediate

15:30 Stephan Jaensch

Type annotations with larger codebases

Best Practice Type-Hinting Python 3

intermediate

16:05 Mark Shannon

Is your code tainted? Finding security vulnerabilities using taint-tracking.

Best Practice Security Code Analysis

intermediate

13:45 Sarah Diot-Girard, Maha Mdini

Basic Data Science tools

Visualization Data Science Jupyter/iPython Notebook Scientific Libraries (Numpy/Pandas/SciKit/...)

beginner

10:00 Maha Mdini

Create your own Artificial Intelligence to monitor your Linux System!

Scientific Libraries (Numpy/Pandas/SciKit/...)Data Science Open-Source Linux

intermediate

13:45 Paul Roeland

Plone and modern frontend frameworks

CMS JavaScript RESTful Plone Open-Source

beginner

10:00 Javier Jorge

Cloud-Agnostic Deployment of Distributed TensorFlow

Science Deep Learning Scientific Libraries (Numpy/Pandas/SciKit/...)Machine-Learning Case Study

intermediate

13:45 Moisés Guimarães

Hardening Plaintext Secrets in Configuration Files

Development Best Practice Security Open-Source Command-Line

intermediate

10:00 Radomir Dopieralski

Python Game Console

Gadgets Teaching Education Game-Development MicroPython

beginner

13:45 Antonia Tugores

Human Mobility Patterns

Physics Science Data Predictions Analytics

beginner

Friday, 27 July 2018

08:00

09:00

09:15

10:00

10:30

11:20

12:10

13:00

13:45

14:00

14:15

14:35

15:05

15:30

16:05

16:35

16:45

17:15

18:00

18:30

Morning Anouncements

09:15 Ian Ozsvald

Citizen Science with Python

Science Data

beginner

Coffee break (Lennox)

10:30 Joshua Lowe

EduBlocks - Making the transition to Python easier!

MicroPython Education Python 3 Community Open-Source

beginner

11:20 Dan Taylor

Get Productive with Python in Visual Studio Code

Development Debugging Programming Tooling Python general

beginner

12:10 Alex Willmer

Rehabilitating Pickle

Configuration Management (Ansible/Fabric/Chef/...)Security Python general Messaging and Job Queues (RabbitMQ/Redis/...)Distributed Systems

intermediate

Lunch (Lennox)

14:00 Philip Jones

Quart a asyncio alternative to Flask

HTTP

beginner

14:35 Alexandre Figura

Integration Tests with Super Powers

Docker Testing Tooling Test Libraries (pyTest/node/...)

intermediate

Coffee break (Lennox)

15:30 Jeethu Rao

Faster Python startup

Performance Compiler and Interpreters CPython

intermediate

16:05 Petr Viktorin

Bytecodes and stacks: A look at CPython’s compiler and its execution model

Compiler and Interpreters CPython

intermediate

Technical break

Sprint Orientation

Lightning talks

Closing Session

End of day

10:30 David Liu

Addressing multithreading and multiprocessing in transparent and Pythonic ways

Best Practice Multi-Processing Multi-Threading CPython Scientific Libraries (Numpy/Pandas/SciKit/...)

intermediate

11:20 Pietro Mascolo

Good features beat algorithms

Algorithms Data Science Data Python 3 Machine-Learning

intermediate

12:10 Martin Christen

Processing Geodata using Python and Open Source Modules

Visualization Data Big Data Jupyter/iPython Science

beginner

14:00 Sarah Diot-Girard

Trust me, I'm a Data Scientist - ethics for builders of data-based applications

Data Science Machine-Learning

beginner

14:35 Marco Bonzanini

Lies, damned lies, and statistics

Beginners Education

beginner

15:30 Lauris Jullien

Productionizing your ML code seamlessly

Best Practice Scientific Libraries (Numpy/Pandas/SciKit/...)Data Science Notebook Machine-Learning

intermediate

16:05 Matteo Guzzo

Easy interactive data applications with Dash

Web Visualization Data Science Scientific Libraries (Numpy/Pandas/SciKit/...)Web Servers and MicroFWs (Flask/Tornado/Nginx/...)

intermediate

10:30 Rricha Jalota

Building a Question Answering System using Deep Learning Techniques

Scientific Libraries (Numpy/Pandas/SciKit/...)Data Science Natural Language Processing Jupyter/iPython Deep Learning

intermediate

11:20 vincent warmerdam, Bas Harenslak

Winning card games with 1000+ CPUs

Predictions Algorithms ASYNC / Concurreny Command-Line Python 3

intermediate

12:10 Marcel Raas

Change music in two epochs

Deep Learning Algorithms Machine-Learning Scientific Libraries (Numpy/Pandas/SciKit/...)

intermediate

14:00 Omar Gutiérrez

From linear algebra to machine learning

Scientific Libraries (Numpy/Pandas/SciKit/...)Data Science Data Jupyter/iPython Machine-Learning

beginner

15:30 Douglas Finch

Air Quality & Python: Developing Online Analysis Tools

Case Study Science Data Science Django Web

beginner

16:05 Kevin Lemagnen

Walking the Random Forest and boosting the trees

Case Study Data Science Machine-Learning Scientific Libraries (Numpy/Pandas/SciKit/...)

beginner

10:30 Rivo Laks

Creating Solid APIs

Best Practice RESTful Web General APIs

intermediate

11:20 Neil Gall

System testing with Pytest, Docker, and Flask

python Docker Test Libraries (pyTest/node/...)Web Servers and MicroFWs (Flask/Tornado/Nginx/...)

intermediate

12:10 Chase Stevens

Exploring the Python AST Ecosystem

Use Case Python general Tooling Code Analysis Static Analysis

intermediate

14:00 Andy Fundinger

A Taxonomy of Decorators: A-E

Software Design Development Programming Python general

intermediate

14:35 Pavlin Gergov

How async and await ended up in Python

Beginners Education Python 3 ASYNC / Concurreny

intermediate

15:30 Stefan Baerisch

The Boring Python Office Talk - Automate Powerpoint, Excel, and PDF with Python

Python general Python 3

beginner

16:05 Keith Harrison

Creating a Culture of Software Craftsmanship 

Best Practice Agile Clean Code

beginner

10:30 Victor Stinner

Python 3: ten years later

Python 2 Python 3 CPython

beginner

11:20 Ben Nuttall

Programming paradigms for physical computing and IoT

Gadgets Internet of Things (IoT)Sensors Raspberry PI Hardware/IoT Track

beginner

12:10 Paul Keating

Writing good error messages

Python general Programming

beginner

14:00 Emmanuelle Delescolle

A tale of refactoring

Case Study Programming Code Analysis failures/mistakes Clean Code

intermediate

15:30 Sven-Hendrik Haase

Rust and Python - Oxidize Your Snake

Performance Python general All Other Programming Languages C-Languages Compiler and Interpreters

advanced

16:05 Alec MacQueen

Python and GraphQL

Web Python 3 APIs

intermediate

10:30 Raphael Pierzina

The Challenges of Maintaining a Popular Open-Source Project

Open-Source Community

beginner

11:20 Alex Grönholm

Automating testing and deployment with Github and Travis

Best Practice Packaging Deployment/Continuous Integration and Delivery Tooling

beginner

12:10 Naomi Ceder

Python Software Foundation Session

Python Software Foundation (PSF)Community

beginner

14:00 Marc-Andre Lemburg

EuroPython 2019: Help us build the next edition!

EuroPython EPS Community

beginner

14:15 Marc-Andre Lemburg

EPS General Assembly 2018

EuroPython EPS

beginner

15:30 Robert Smallshire

Domain-Driven Design Patterns in Python

Software Design Databases Programming Architecture Abstractions

intermediate

10:00 Daniel Abad, Dougal Matthews

OpenStack Help Desk

OpenStack

beginner

13:45 Paul Ross

Extending Python with C/C++

Cython Open-Source CPython Performance

intermediate

10:00 Javier Jorge

Discovering the nuclear reactor’s stability with SLEPc and Python

Scientific Libraries (Numpy/Pandas/SciKit/...)Case Study Data C-Languages Science

intermediate

13:45 Thomas Kluyver

What do a model boat and a giant laser have in common?

Science Engineering Robotics Architecture Case Study

intermediate

10:00 Michał Karzyński

Making neural networks portable with ONNX

Deep Learning Data Science Open-Source Machine-Learning

beginner

13:45 Noah Cse

introduce Python community/conf, and cross region community in Asia.

Python Software Foundation (PSF)Communication Conferences and Meet-Ups Diversity Community

beginner

10:00 K K

Best practices for elegant experimentation in data science projects (case study)

Best Practice Data Science Clean Code Open-Source Machine-Learning

intermediate

13:45 Ben Nuttall

Python and Raspberry Pi

Internet of Things (IoT)Other Hardware Raspberry PI Education Open-Source

beginner

Women & Non-Binary Breakfast at EuroPython (requires registration) [Platform 5 Café on level 1 of the EICC]

Saturday, 28 July 2018

09:30

11:00

11:30

13:00

14:00

15:00

18:00

Sprints

Coffee Break (Strathblane Hall)

Sprints

Lunch (Strathblane Hall)

Sprints

Coffee Break (Strathblane Hall)

End of day

Sunday, 29 July 2018

09:30

11:00

12:30

13:45

15:00

18:00

Sprints

Coffee Break (Strathblane Hall)

Lunch (Strathblane Hall)

Sprints

Coffee Break (Strathblane Hall)

End of day