PyCon UK 2019

Adam Hill

“The Companies We Keep: Using network graphs to map corporate control”


Alex Chan

“Sans I/O programming patterns – what, why, and how”


Alp Inan

“Flask-restplus workshop for beginners”


Ann Barr

“Django Girls Workshop”


batuhan bayraktar

“Using Pomelo to Enhance Algorithmic Thinking”


Beat Buesser

“Adversarial Robustness Toolbox: How to attack and defend your machine learning models”


Can

“Using Pomelo to Enhance Algorithmic Thinking”


Can Ersoz

“Benefits of competition based libraries for beginners in Python”


Carlos Pereira Atencio

“An Introduction to Hardware Drivers in (Micro)Python” | “Python on Hardware Community Showcase (Open Session)”


Charlotte Feather

“Step Into the AI Era: Deep Reinforcement Learning Workshop”


Cheuk Ting Ho

“I am telling you 3 things about Chatbot (so you don't have to learn it the hard way)” | “Keynote: Do we have a diversity problem in Python community?” | “Step Into the AI Era: Deep Reinforcement Learning Workshop”


Chloe Parkes

“Depression in the Workplace; Let's talk.”


Chris Withers

“FastAPI from the ground up”


Colin Bell

“Automating web applications with Selenium WebDriver”


Damian Swistowski

“Typed attrs dataclasses with cattrs converters for JSON REST microservices.”


Daniele Procida

“I didn't know that!” | “Introduction” | “But I never wanted to do DevOps! A practical, hands-on introduction to containerised web deployment for Django developers who would rather just create applications” | “Introduction” | “Introduction” | “Sprints” | “Introduction” | “Introduction”


Daniel Hepper

“Is Django too Complicated?”


daniel rios

“Optimizing Input: Building your own customized keyboard”


Dani Papamaximou

“Automated report writing using data from a relational database”


David Chong

“Python in Medicine: A toolkit for exploring neonatal ventilator data”


David R. MacIver

“You are in a maze of twisty little passages”


David Sim

“One weird trick for improving your communication”


Dmitry

“Real-time apps with Python.”


Dolica Akello-Egwel

“NeXus Constructor: Visualising the Configurations of Neutron Experiments with Qt for Python”


Dom Weldon

“Dash: Interactive Data Visualization Web Apps with no Javascript”


Drishti Jain

“When life gives you Orange, make data speak volumes!”


Dr. Tania Allard

“Keynote”


Dustin Ingram

“Static Typing in Python”


Éléonore Mayola

“A tour of data viz in Python”


Emanuil Tolev

“Intro to integrating search into your Django app” | “Awesome live API docs for under-resourced teams”


Emma Delescolle

“Writing micro-services in Python... Sure! But which framework?” | “Writing micro-services in Python... Sure! But which framework?”


Frank Kelly

“Machine Learning on the Edge”


Gail Ollis

“Let's make a talk”


Gil Goncalves

“So you want to be a manager”


Gisela Rossi

“Dictionaries, behind the scenes”


Gönül Aycı

“Active Learning with Bayesian Nonnegative Matrix Factorization for Recommender Systems”


Gusztav Belteki

“Python in Medicine: A toolkit for exploring neonatal ventilator data”


Hannah Hazi

“Don't Cross The Streams: An Introduction to Virtual Environments”


Irit Katriel

“Technical Debt Remediation in a Massive Python Codebase”


Isobel Weinberg

“Plug & train: flexible customisation and extension of python's deep learning frameworks”


Jack Harper

“NeXus Constructor: Visualising the Configurations of Neutron Experiments with Qt for Python”


Jacob Unna

“Philosophy of Refactoring”


Jan Freyberg

“Plug & train: flexible customisation and extension of python's deep learning frameworks”


Joel Collins

“Robotic Microscopy for Everyone”


Jonathan Fernandes

“Working with PyTorch for Deep Learning”


Konark Modi

“What do travel, food & health websites have in common? Auditing websites & apps for privacy leaks” | “Stranger things in Twitterverse”


Leonardo Giordani

“Clean Architectures in Python” | “TDD in Python with pytest”


Lindsey Dragun

“Impactful Accessibility - The Changes That Mean The Most”


Lorena Carthy

“The Not-So-Private Side of Social Media”


Luke Spademan

“Writing Beautiful Python. An overview of PEP 8”


Marco Bonzanini

“Lies, Damned Lies, and Statistics” | “What are they talking about? Mining topics in documents with topic modelling and Python”


Mario Orlandi

“Real-time data acquisition, from Arduino to the web, using PubSub with Redis, Django and other friends”


Mark Smith

“More Than You Ever Wanted To Know About Python Functions” | “Lightning talks” | “Lightning talks” | “Lightning talks” | “Lightning talks”


Markus Holtermann

“Logging Rethought 2: The Actions of Frank Taylor Jr.”


Marlene Mhangami

“Keynote”


Martin O'Hanlon

“Blue Dot - its a bluetooth dot”


Mary Chester-Kadwell

“Code walk this way”


Mashhood Rastgar

“Rapid prototyping scalable Python services using AWS Chalice”


Michal Grochmal

“Demystifying Neural Networks”


Miguel Grinberg

“Asynchronous Web Development with Flask”


Mika Naylor

“Code Styles Aren’t Black and White”


Nick Acosta

“Choosing the right Deep Learning Framework: A Deep Learning Approach”


Nick Sarbicki

“Mutability for good not evil”


Nishka

“Introduction to Graphics in Python”


Owen Campbell

“UKPA AGM” | “Jobs Fair”


Pallavi

“Stranger things in Twitterverse”


Parth Shandilya

“Synchronization Primitives in Python” | “An Intro To Web Accessibility In Django”


Petr Stehlík

“The dos and don'ts of task queues”


Qasim K

“Automating Code Review As Much As Possible”


Rafael Garcia-Dias

“How to use Python to expose politicians?”


Rebecca Vickery

“The Fastest Way to Learn Data Science”


Richard Louden

“Battles with reproducibility and collaboration in large organisations”


Richard Terry

“Syntactic sugar vs maintainability”


Samathy Barratt

“Regexplained - Understanding the theory of Regular Expressions”


Sandrine Pataut

“Get to grips with pandas and scikit-learn”


Sarah Townson

“Hardware Hacking Workshop”


Saurabh Chaturvedi

“An Intro To Web Accessibility In Django”


Sebastian Hanus

“Get started with Deep Learning using Keras and NumPy”


Sedat yalcin

“Benefits of competition based libraries for beginners in Python” | “Using Pomelo to Enhance Algorithmic Thinking”


Shaun Taylor-Morgan

“Build a full-stack web app in Python with Anvil” | “Python in the browser”


Sherin Thomas

“Hangar; git for your data”


Spencer Organ

“Unleashing Python from the Computer Science Curriculum”


Steve Barnes

“Helping Python Slither Under The Fence”


Sunaina Pai

“Mock Object Library: Common Pitfalls and Best Practices”


Susam Pal

“A Tour of Matplotlib: From Bar Charts to XKCD-Style Plots”


Tariq Rashid

“A Gentle Intro to GANs with PyTorch”


Teri Forey

“Research Software Engineers: Who, What, Why and a Django API”


Thomas Kluyver

“What does PEP 517 mean for packaging?”


Tobias Kohn

“Here's Your Mistake...”


Tobias Kunze

“Keynote”


Tom Easterbrook

“Dev On Wheels: The Ultimate Computer Game”


Vinayak Mehta

“Extracting tabular data from PDFs with Camelot & Excalibur”


Vipul Gupta

“Transforming pedagogy with Python in 2019”


Vladimir Puzakov

“Create your first mypy plugin”


V Vishnu Anirudh

“Version Control Systems for Machine Learning Projects Involving Big Data”


Wietse Braam

“Flask-restplus workshop for beginners”


Yaşar İdikut

“Benefits of competition based libraries for beginners in Python”


Yeray Díaz Díaz

“Import as an antipattern - Demystifying Dependency Injection in modern Python”


Yoel Kastro

“Benefits of competition based libraries for beginners in Python”


Yoel Nasi

“Using Pomelo to Enhance Algorithmic Thinking”