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

An Introduction to Hardware Drivers in Micro Python

Automated Timeseries Analysis with Gaussian Processes

Battles with reproducibility and collaboration in large organisations

Concurrent asyncio and sanity

Hangar git for your data

How to use Python to expose politicians

Managing Big Data in Machine Learning projects

Massively Multiplayer Online Games with Python

PYCON UK 2019 : Introduction

PYCON UK 2019 - Monday Lightning talks

Python in the browser

Real time data acquisition from Arduino to the web using PubSub with Redis Django and othe

The Fallacy of Meritocracy

The world's cheapest simplest plotter

Typed attrs dataclasses with cattrs converters for JSON REST microservices

while history: continue

A Tour of Matplotlib From Bar Charts to XKCD Style Plots

Automated report writing using data from a relational database

Benefits of Competition based libraries for beginners in Python

Blue Dot - it's a bluetooth dot

Dash Interactive Data Visualization Web Apps with no Javascript

Dictionaries Behind the Scenes

Do we have a diversity problem in Python community

Don't Cross The Streams - An Introduction to Virtual Environments

FastAPI from the ground up

Here s Your Mistake

Import as an antipattern - Demystifying Dependency Injection in modern Python

Is Django too Complicated

Machine Learning on the Edge

Mock Object Library Common Pitfalls and Best Practices

Mutability for good not evil

PYCON UK 2019 - Sunday Introduction

PYCON UK 2019 Sunday Lightning talks

Research Software Engineers - Who What Why and a Django API

So you want to be a manager

Stranger things in Twitterverse

Using Pomelo to Enhance Algorithmic Thinking

What do travel food & health websites have in common Auditing websites amp apps for

What does PEP 517 mean for packaging

Writing micro services in Python - Sure But which framework

Clean Architectures in Python

Code Styles Aren't Black and White

Data Scientist Career Path: How to find your way through the data science maze

Depression in the Workplace Let s talk

Dev On Wheels - The Ultimate Computer Game

Leadership and Identity in the Pan African Python movement

Lies Damned Lies and Statistics

One weird trick for improving your communication

PyCon UK 2019 Saturday Introduction

PYCON UK 2019 - Saturday Lightning talks

Rapid Prototyping

Robotic Microscopy for Everyone

The Curb Cut Effect

The Fastest Way to Learn Data Science

UK Python Association AGM 2019

Writing Beautiful Python - An Overview of PEP 8

Astro Pi Python on the International Space Station

Asynchronous Web Development with Flask

Automating Code Review As Much As Possible

Awesome live API docs for under resourced teams

Code walk this way

How to write readable tests

Logging Rethought 2: The Actions of Frank Taylor Jr.

More Than You Ever Wanted To Know About Python Functions

Optimizing Input Building your own customized keyboard

Philosophy of Refactoring

PyCon UK 2019 Friday Introduction

PyCon UK 2019 Friday Lightning talks

Python in Medicine: A toolkit for exploring neonatal ventilator data

Regexplained Understanding the theory of Regular Expressions

Reproducible Science The Good The Bad The Ugly and The Untold

Sans I O programming patterns what why and how

Static Typing in Python

Syntactic sugar vs maintainability

The dos and don'ts of task queues

Training my dog with Python

You are in a maze of twisty little passages

"Build and hack your own IoT with MQTT" - Agnetha Korevaar (Kiwi Pycon X)

"Lightning Talks" - (Kiwi Pycon X)

"The Packaging Lifecycle with Poetry" - Clinton Roy (Kiwi Pycon X)

"Aircraft predictive maintenance using Python/ML" - Amar Verma (Kiwi Pycon X)

"Automate Your Integration Tests Using pytest-docker-compose" - Phoenix Zerin (Kiwi Pycon X)

"Building an interactive training environment using JupyterHub" - Graham Dumpleton (Kiwi Pycon X)

"From Pascal to Python" - Steve Dunford (Kiwi Pycon X)

"Getting started with MicroPython on a microcontroller" - Glenn Ramsey (Kiwi Pycon X)

"How to Write Python Code Others Like to Use" - Anna Tisch (Kiwi Pycon X)

"I'm So Meta Even This Acronym..." - Curtis Maloney (Kiwi Pycon X)

"Keynote: From NASA to Startups to Big Commerce" - Daniel Roy Greenfeld (Kiwi Pycon X)

"Keynote: The Natural State Of Computers" - Amber Brown (Kiwi Pycon X)

"Parallelism in Python" - Rounak Vyas (Kiwi Pycon X)

"Python: A Medley of Programming Paradigms" - Simon Merrick (Kiwi Pycon X)

"Python for Public Transport" - Alex Raichev (Kiwi Pycon X)

"Python product dev tools for electronics" - Barrie Duncan (Kiwi Pycon X)

"Python, Threads & Qt: Boom!" - Teijo Holzer (Kiwi Pycon X)

The journey of building a production-ready managed Kubernetes service

"Turning 'wat' into 'why'" - Katie McLaughlin (Kiwi Pycon X)

Using Python, Django, and ruthlessness to protect people from social media harassment.

Conference Close

Sunday Lightning Talks

Saturday Lightning Talks

Day 2 SciPy Tools Plenary Session

Day 3 Lightning Talks

Day 3 SciPy Tools Plenary Session

Boston - EuroPython Basel Friday, 12th 2019

Day 2 Lightning Talks

MongoDB - EuroPython Basel Friday, 12th 2019

Osaka - EuroPython Basel Friday, 12th 2019

Shanghai - EuroPython Basel Friday, 12th 2019

Singapore - EuroPython Basel Friday, 12th 2019

Sydney - EuroPython Basel Friday, 12th 2019

Boston - EuroPython Basel Thursday, 11th 2019

Lightning Talks 2019-07-11

MongoDB - EuroPython Basel Thursday, 11th 2019

Osaka - EuroPython Basel Thursday, 11th 2019

PyCharm - EuroPython Basel Thursday, 11th 2019

SciPy Tools Plenary Session

Shanghai - EuroPython Basel Thursday, 11th 2019

Singapore - EuroPython Basel Thursday, 11th 2019

Adriana Dorneles - What about recommendation engines?

Alejandro Saucedo - The state of Machine Learning Operations in 2019

Alexander CS Hendorf - Explaining AI to Managers 👨‍💼🤖👩‍💼

Alisa Dammer - Python vs Rust for Simulation

Anton Caceres - How To Build a Python Microservice Without Losing a Job

Antonio Cuni - How to write a JIT compiler in 30 minutes

Athina Frantzana - Are women underrepresented in the High Performance Computing (HPC) community?

Boston - EuroPython Basel Wednesday, 10th 2019

Brad Miro - Deep Learning with TensorFlow 2.0

Cheuk Ho - Do we have a diversity problem in Python community?

Christian Barra - How software can feed the world 🌱

Christian Heimes - Introduction to low-level profiling and tracing

Christoph Deil - Understanding Numba - the Python and Numpy compiler

Christoph Heer - Is it me, or the GIL?

Cristián Maureira-Fredes - Unleash the power of C++ in Python

Daniele Procida - The world's cheapest, simplest plotter

Dom Weldon - Dash: Interactive Data Visualization Web Apps with no Javascript

Elizaveta Shashkova - Visual debugger for Jupyter Notebooks: Myth or Reality?

Emmanuelle Gouillart - Image processing with scikit-image and Dash

EuroPython 2019 - Lightning talks on Thursday, July 11

EuroPython 2019 - Lightning talks on Wednesday, July 10

EuroPython 2019 - Opening Session

EuroPython 2019 - Recruiting Session

EuroPython - The largest Python conference in Europe

Florian Wahl - Building Industry 4.0 logistics applications with MicroPython and ESP32 MCUs

Gael Varoquaux - Machine learning on non curated data

Hubert Bryłkowski - Natural language processing with neural networks.

Hynek Schlawack - Maintaining a Python Project When It’s Not Your Job

Iulia Avram - Gamifying the study of algorithms

Jeff Hollan - Deploy Python to the cloud faster with Azure Serverless

Joe Drumgoole - Introduction to Python and MongoDB

Johnny Dude - How Thinking in Python Made Me a Better Software Engineer

Jon Nordby - Audio Classification with Machine Learning

Katherine Kampf - Building a Powerful Pet Detector in Notebooks

Leonardo Rochael Almeida - From days to minutes, from minutes to milliseconds with SQLAlchemy

Lilian Nandi anonymous - Teaching Programming to the Next Generation

Luba Elliott - AI in Contemporary Art

Lynn Cherny - Getting Your Data Joie De Vivre Back!

Marc-Andre Lemburg - EPS General Assembly 2019

Marc-Andre Lemburg - EuroPython 2020: Help us build the next edition!

Marc-Andre Lemburg - PyRun - Shipping the Python 3.7 runtime in just 4.8MB

Maria Molina-Contreras - “When a biologist met Python”

Mario Corchero - Exceptional Exceptions

Mark Smith - Publish a (Perfect) Python Package on PyPI

Martin Christen - Geospatial Analysis using Python and JupyterHub

Matthieu Amiguet - Python for realtime audio processing in a live music context

Max Bélanger - How to ship a Python app to a hundred million desktops

Michał Karzyński - From Python script to Open Source Project

Michele Simionato - Tips for the scientific programmer

Miroslav Šedivý - A Day Has Only 24±1 Hours

MongoDB - EuroPython Basel Wednesday, 10th 2019

Mustafa Anil Tuncel - Bioinformatics pipeline for revealing tumour heterogeneity

Nar Kumar Chhantyal - Building Data Workflows with Luigi and Kubernetes

Osaka - EuroPython Basel Wednesday, 10th 2019

Paolo Galeone - Dissecting tf.function to discover AutoGraph strengths and subtleties

Patrick Arminio - GraphQL in Python 🍓

Paul Everitt - Python 1994

Paul Hughes - Building Data-Driven Client Relationship Management in Banking with Python

Petr Stehlík - The dos and don'ts of task queues

Philipp Thomann - PlotVR - walk through your data

PyCharm - EuroPython Basel Wednesday, 10th 2019

Raphael Pierzina - Advanced pytest

Reuven Lerner - Practical decorators

Rogier van der Geer - How to train an image classifier using PyTorch

Ronan Lamy - Opening PyPy's magic black box

Samuel Colvin - Python's Parallel Programming Possibilities - 4 levels of concurrency

Sebastian Roll - The Dangers of Outsourcing Software Development

Sebastian Witowski - Wait, IPython can do that?!

Shailen Sobhee - Accelerate your Deep Learning Inferencing with the Intel® DL Boost technology

Shailen Sobhee - Supercharge your Deep Learning algorithms with optimized software

Shanghai - EuroPython Basel Wednesday, 10th 2019

Singapore - EuroPython Basel Wednesday, 10th 2019

Stefan Behnel - Get up to speed with Cython 3.0

Stephan Jaensch - Testing Microservices: fast and with confidence

Sven-Hendrik Haase - Become a command line wizard

Teresa Ingram - Opt Out of Online Sexism – Open Source Activism

Tin Marković - Refactoring in Python

Tom Forbes - Writing a Python autoreloader

Tyler Brough - Using Python to Teach Computational Finance

Vita Smid - Static typing: beyond the basics of def foo(x: int) -str:

Yenny Cheung - Why You Should Pursue Public Speaking and How to Get There

GeoPython 2019 (June 25) Track 1

GeoPython 2019 (June 26) Track 1

GeoPython 2019 (June 26) Track 2

GeoPython 2019 (June 26) Track 2-2

GeoPython 2019 (June 25) Track 2

PyCon CZ Ostrava 2019 DAY 2 - BALLROOM - Live Stream

PyCon CZ Ostrava 2019 DAY 2 - CLUB - Live Stream

PyCon CZ Ostrava 2019 DAY 1 - BALLROOM - Live Stream

PyCon CZ Ostrava 2019 DAY 1 - CLUB - Live Stream

Aakanksha Chouhan - Hearing Colours and Seeing Sounds using Python

Aakriti Jain - Text Extraction from PDFs made Easy

Ahmad Alhour - How to Become a Kickass Team Lead 101

Akash Tandon - Traversing the land of graph computing and databases

Akul Mehra - Predicting Human Activity using Time Series Analysis

Alberto Anceschi , Nicolò Gasparini - Sviluppare per Alexa in Python

Alec Clowes - Building a Celery alternative in Django on Kubernetes

Alessandro Amici - Meet dask and distributed: the unsung heroes of Python scientific data ecosystem

Alessandro Betti - Algoritmo di Routing Multi-Obiettivo di Veicoli Elettrici

Alessandro Cucci - Uno sguardo alle Dataclasses: quando una namedtuple non basta

Alessandro Molina - Python Standard Library, the hidden gems

Alessio Guerrieri - Please tell me why?! Explaining Machine Learning predictions in Python with Shap

Alex Casalboni - Porting your Python web app to serverless in 30 minutes

Alex Martelli - Ask Me Anything

Alexander Hendorf - Deep Learning with PyTorch for Fun and Profit

Alexandr Honchar - Deep learning: the final frontier for time series analysis and signal processing?

Amit Kushwaha - Defence Against the Dark Arts: Adversarial ML

Anastasiia Tymoshchuk - Ravioli vs Pelmeni software architecture (microservices vs services)

Anders Bogsnes - A Worked Intro to Scikit-learn

Andrea Benericetti - Machine learning approaches for road scene video analysis

Andrei Neagu - Sharing is Caring! - how to free the CPU from message passing hell

Anna Wszeborowska - Subwoofler: Create Your Own Musical Instrument

Anton Bossenbroek , Luc Pons - Source; deploying unbiased models effortlessly

Anton Caceres - Communicating Between Microservices

Antonio Cuni - How to write a JIT compiler in 30 minutes

Bryce Verdier - Using Vault to better protect your secrets

Cesare Di Mauro - Ternary CPUs: how they work and how Python helps designing one

Cheuk Ho - AI and algorithmic art

Christian Barra - How software can feed the world

Christian Strappazzon - Immagino: un racconto di serverless e codeless (più o meno).

Davide Corio - Costruire un sito e-commerce con Odoo

Davide Setti - Service discovery: sai dov'è il mio microservice?

Elena Nieddu - In Codice Ratio: Machine Transcription in the Vatican Secret Archive

Fabio Falzoi - An insight into Python Garbage Collection

Federico Caboni - Serverless computing con Python e AWS - Endgame Edition

Federico Cerchiari - TemPy! Una alternativa al templating tradizionale usando solo Python

Felipe Cabral - Using Python to create political acts

Fiorella De Luca - Scrivere i primi test frontend con python? Si Può!

Francesco Bruni - Geospatial analysis with Python

Francesco Porcari - Come aiutare i cani con Genropy

Francesco Porcari - Genropy e lo storage di file in cloud

Frank Schlimbach - High Performance and Scalability Made Easy

Frédéric Descamps - Python e MySQL 8.0 Document Store

Giuseppe Di Bernardo - Deep Learning for brain MRI segmentation: Big Data, AI and HPC meet together

Giuseppe Vallarelli - Python & Serverless: Refactor your monolith piece by piece

Iskandar Setiadi - Python Website is Slow? Think Again!

Jennifer Seale - Multi-modal classification with PyTorch

Jonas Obrist - Artisanal Async Adventures

Jose Manuel Ortega - Darkweb + Python: discover, analyze and extract information

Laura De Stefanis , Ciro Campese , Amr Abdullatif - Machine Learning for Inventory Management

Lorenzo Mele - Usa lo Zen, Luke!

Luca Antiga - Orobix: AI gets to work!

Luca Antiga - RedisAI

Luigi Francesco Cerfeda - Introduzione a Zerynth: Python per Microcontrollori e Applicazioni IoT

Marc Garcia - Pandas ecosystem 2019

Marcin Gębala - Real world Graphene - lessons learned from building a GraphQL API

Marco Bonzanini - Let the AI Do the Talk: Adventures with Natural Language Generation

Marco Buttu - White Mars: living far away from any form of life

Marco Nenciarini - PostgreSQL on the kube

Marco Santamaria - Pipenv per la gestione delle dipendenze negli ambienti di sviluppo

Mario Orlandi - Internet delle cose con Redis e django-channels

Mo Haghighi - From Machine Learning to Deep Learning, Applying AI to real-world challenges

Nicola Landro - Basta problemi con tensorflow usando Docker & Nvidia Docker

Paolo Melchiorre , Carmelo Catalfamo - Mappe 🗺️ con GeoDjango 🌎, PostGIS 🐘 e Leaflet 🍃

Paula Gonzales - From Science with (Data) Love: make others love data the way you do

Pietro Battiston - You don't need n dimensions when you have pandas

Pietro Mascolo - Good features beat algorithms

PyConX Conference Goodbye

PyConX Conference Welcome and Introduction

PyConX Lightning Talks

Riccardo Magliocchetti - Quando la tua applicazione Django non va abbastanza veloce

Roberto Polli - Using OpenAPI (and Python) to standardize a Country's API Ecosystem

Sasha Romijn - The Secret Society of Happiness

Valentino Gagliardi - Decoupling Django with Django REST (and a sprinkle of React)

Yenny Cheung - Why you should pursue public speaking and how to get there

Intro to SciPy Japan 2019: Scientific Python Conference

DjangoCon 2019 - Day 3 Lightning Talks

DjangoCon 2019 - Day 2 Lightning Talks

djangocon.close()

DjangoCon 2019 - Day 1 Lightning Talks

How PyLadies Brazil became the biggest PyLadies chapter of the world

Building Docs like Code: Continuous Integration for Documentation

Epigrammatic Python

Why Good Developers Write Bad Tests

10 Years In Industry as a Minority Developer

Cloud Made Simple with Serverless Python

CUDA in your Python: Effective Parallel Programming on the GPU

Egad! How Do We Start Writing (Better) Tests?

Free yourself from your ORM with mypy!

Intentional Deployment: Best Practices for Feature Flag Management

Introduction to Exploratory Data Analysis with the Sci-Analysis Python Package

Keynote: My Path to Becoming a Python Core Developer

Keynote: The Zen of Python Teams

Lightning Talks

Machine Learning by Example

Making Games With PPB

Serverless Python: All Vapor or Are There Benefits?

Solving the "no internet" problem in Botswana

Take Back the Web with GraphQL

Testing from the Ground Up

To comment or not? A data-driven look at developer attitudes toward code comments

When Booleans Are Not Enough... State Machines?

Djangocon 2019 - Europe - Day 3

Djangocon 2019 - Europe - Day 2

Djangocon 2019 - Europe - Day 1

А что, если без Python? Julia для машинного обучения и вообще / Глеб Ивашкевич

Что делать, если ваш код на Python тормозит / Григорий Бакунов (Яндекс)

Micropython для квестов в реальности и аркадных игр / Никита Левонович (КВЕСТОДЕЛЫ)

Убивай мутантов, спаси свой код / Никита Соболев (wemake.services)

Укрощая зверя: legacy-код, тесты и вы / Кирилл Борисов (Booking.com)

Видеоотчет о Moscow Python Conf ++ 2019

PyCon SK 2019 - Aula Magna - Nedela

PyCon SK 2019 - Aula Magna - Sobota

PyCon SK 2019 - Aula Minor - Sobota

PyCon SK 2019 piatok - Aula Minor (Aula Minor)

Алексей Борисенко - Сетевая программируемость с использованием Python [Ua]

Anton Caceres - The epic zoo of microservices [UA]

Christian Barra - Not just a Developer [En]

Елена Шилко - MQTT - прямая дорога в Интернет вещей [Ru]

Emanuil Tolev - Advanced, free, open-source application performance...

Gabriel Bianconi - Introduction to Face Processing with Computer Vision [En]

Jorge Torres - Machine Learning Democratization with Python [En]

Михаил Фарапонов - Overview of Kubernetes Metacontrollers with Python [Ru]

Тарас Мацик - Event Driven ML [UA]

Всеволод Соловьёв - Data science з печі до столу [Ru]

Pycon APAC 2019 - Anthony Khong - Property Based Testing in Python with Hypothesis

PyCon APAC 2019 - Aravind Putrevu - Faster Python apps with open source APM

PyCon APAC 2019 - Ardie Orden - Using Artificial Intelligence and Satellite Imagery

Pycon APAC 2019 - Argeo Tuble Alecha - Data Science and Machine Learning with Python

Pycon APAC 2019 Beng Keat Liew - PyCon APAC - Back to the Future!

Pycon APAC 2019 - Dmitry Trofimov - Best tools for Jupyter notebooks

Pycon APAC 2019 - Doni Rubiagatra - Turn your Flask App into Async using Quart

PyCon APAC 2019 - Gyenn Neil Ibo - Multi-lingual Text Data for Sentiment Classification

Pycon APAC 2019 - Jacob Kaplan-Moss - Interviewing as a Python engineer

Pycon APAC 2019 - Li Ting Chen - Python’s role in accelerating biomedical science

Pycon APAC 2019 - Lightning Talks Part 1

Pycon APAC 2019 - Lightning Talks Part 2

Pycon APAC 2019 - Lightning Talks Part 3

PyCon APAC 2019 - Marte Soliza - Using Asyncio in Python 3

PyCon APAC 2019 - Narendran - Empathy Maketh an Engineer

PyCon APAC 2019 - Phillip Espina - Python's AI/ML for the Crypto-Industry

Pycon APAC 2019 - Suzy Lee - How did you know? Explaining Black Box Model Predictions in Python

Pycon APAC 2019 - Taihsiang Ho - Homemade scientific clusters in Python

Pycon APAC 2019 - Takanori Suzuki - Automate the Boring Stuff with Slackbot

Pycon APAC 2019 - Tom Dyson - Here Come The Robots - Python and Machine Learning

Pycon APAC 2019 - Yohei Onishi - Building Analytics Workflow using Airflow and Spark

Lightning Talks - PyConBy: Анонс aiopg==1.0.0, Алексей Фирсов

Lightning Talks - PyConBy: Data pipelines with Stairs, Олег Шидловский

PyConBy: Alejandro Saucedo, A practical guide towards explainability and bias evaluation in ML

PyConBy: Anna Veronika Dorogush, CatBoost: gradient boosting for classification, regression, ranking

PyConBy: Arash Rouhani, Data plumbing with Luigi

PyConBy: Artem Seleznev, The right way of your data visualization

PyConBy: Elena Nikolaichik, MQTT with Python

PyConBy: Ewa Jodlowska, Destination Python

PyConBy: Hynek Schlawack, How to write deployment-friendly applications

PyConBy: Kirill Borisov, Taming the beast: tests, legacy and You

PyConBy: Lasse Schuirmann, How to Launch your Idea Within 30 Days

PyConBy: Martin Christen,Geospatial Data Processing, Analysis and Visualization using Python

PyConBy: Nikita Grishko, Evolution of dependency management

PyConBy: Oleksandr Tarasenko, How to grow GraphQL and remove SqlAlchemy&REST API

PyConBy: Tania Allard, Jupyter Notebooks: Friends or Foes?

PyConBy: Yuriy Guts, Teaching Computers to Play Games with Reinforcement Learning

Aftermovie 2019 - Pycon Colombia 2019

Álvaro Justen - Brasil.IO: liberation of public data with Python - PyCon Colombia 2019

Andres Giraldo Carvajal - Interactive Data Visualization in Python - PyCon Colombia 2019

Arkadiusz Adamski - Automating banner generation using Python - PyCon Colombia 2019

Benjamin Lewis - Keynote Speaker Conference - PyCon Colombia 2019

Benjamin Lewis - PyCon Colombia 2019

Camilo Sepulveda - PyCon Colombia 2019

Carlos Miguel Patiño - Introduction to Generative Adversarial Networks - PyCon Colombia 2019

Carol Willing - Keynote Speaker Conference - PyCon Colombia 2019

Carol Willing - PyCon Colombia 2019

Carolina Gomez - Automation of tasks with selenium - PyCon Colombia 2019

Cristina Gomez - Compressed sensing for indoor radiolocalization in python - PyCon Colombia 2019

David Cardozo - Deep learning for autonomous vehicles, case: Kiwibot - PyCon Colombia 2019

David Delgado Ruiz - Story of an junior engineer - PyCon Colombia 2019

Diego Camilo Peña - IOT and hardware interaction with Python - PyCon Colombia 2019

Eduardo Ismael Garcia - Creating a BlockChain with Python - PyCon Colombia 2019

Felipe Hoffa - What can we learn from 42 TB of code? - PyCon Colombia 2019

Gabriele Tani - How to recover hidden information to improve job post matching - PyCon Colombia 2019

Gonzalo Peña - The state of the Anaconda - PyCon Colombia 2019

Gonzalo Quiroga - IGNIS - PyCon Colombia 2019

Interview Benjamin Lewis - Keynote Speaker - PyCon Colombia 2019

Interview Carol Willing - Keynote Speaker - PyCon Colombia 2019

Interview Jake Vanderplass - Keynote Speaker - PyCon Colombia 2019

Interview Jessica Mckellar - Keynote Speaker - PyCon Colombia 2019

Interview Jorge Vergara - CTO at IBM Colombia - PyCon Colombia 2019

Interview Julián Amaya - CEO at Monoku - PyCon Colombia 2019

Interview Kian Katanforoosh - Keynote Speaker - PyCon Colombia 2019

Interview Ola Sendecka - Keynote Speaker - PyCon Colombia 2019

Interview Russel Keith Magee - Keynote Speaker - PyCon Colombia 2019

Ivan Lozano - Using a Drone to identify and rescue people - PyCon Colombia 2019

Ivan Torroledo - Building next generation writers using AI - PyCon Colombia 2019

Jake Vanderplas - Keynote Speaker Conference - PyCon Colombia 2019

Javier Daza Comas - Creating succesfull tech communities - Pycon Colombia 2019

Jessica Mckellar - Keynote Speaker Conference - PyCon Colombia 2019

Johana Salinas Quintana - How to become a Data Science Superhero? - PyCon Colombia 2019

Jorge Gonzalez - Real driving data to improve road safety in bogota - PyCon Colombia 2019

Jorge Luis Galvis - Going serverless with python - PyCon Colombia 2019

Jorge Martinez - An artistic neural style algorithm - PyCon Colombia 2019

Jose Giraldo - Deep learning music - PyCon Colombia 2019

Juan Manuel Álvarez - Truth is always strange - Fuzzy logic in Python - PyCon Colombia 2019

Kian Katanforoosh - Keynote Speaker Conference - PyCon Colombia 2019

Kian Katanforoosh - PyCon Colombia 2019

Luis David Camacho - High Perfomance Pandas - PyCon Colombia 2019

Mario Sergio - How we face the challenges of maintaining an inclusive community in Brazil

Matt Harrison - Consulting for Introverted Developers - PyCon Colombia 2019

Nick Sweeting - Database Integrity in Django - PyCon Colombia 2019

Ola Sendecka - Keynote Speaker Conference - PyCon Colombia 2019

Ola Sendecka - PyCon Colombia 2019

PyCon Colombia 2019 promo

Roman Prykhodchenko - Load distribution in heterogeneous microservice environments - PyCon 2019

Russell Keith-Magee - Keynote Speaker Conference - PyCon Colombia 2019

Russell Keith-Magee - PyCon Colombia 2019

William Gomez Ortega - AUREAS: A tool for unsupervised species call recognition - PyCon Colombia

A developer amongst (data) journalists by Eléonore Mayola

Binding the Sea by Åke Forslund

Build your own event loop by Pradip Caulagi

Closing keynote by Adam Tornhill

Designing an intuitive framework for complex pipelines in PySpark by Sebastian Ånerud

Digging MUD in Python by Samuel Regandell

Gait phase recognition using machine learning algorithm with IMU sensors by Binbin Su

Mantra - A Deep Learning Development Kit by Ross Taylor

Opening keynote by Lorena Mesa - Now is better than Never...

PyCon Sweden 2018 - lightning talks part 1

PyCon Sweden 2018 - lightning talks part 2

PyCon Sweden 2018 - lightning talks part 3

PyCon Sweden 2018 opening by chairwoman Anna K. Lindegren

Charlas Rápidas. 2018-11-24 Sábado (Mañana)

Charlas Rápidas. 2018-11-24 Sábado (Tarde)

Charlas Rápidas. 2018-11-24 Viernes

Deploying Django App On AWS Lambda

A deep revolution in speech processing and analysis - Pawel Cyrta

AI meets Art - Agata Chęcińska

Application of Recurrent Neural Networks to innovative drug design - Rafał A. Bachorz

Bit to Qubit: Data in the age of quantum computers - Shahnawaz Ahmed

Can you enhance that? Single Image Super Resolution - Katarzyna Kańska

Can you trust neural networks? - Mateusz Opala

Comixify: Turning videos into comics - Adam Svystun, Maciej Pęśko, Tomasz Trzcinski

Computer vision challenges in drug discovery - Maciej Hermanowicz

Conference Opening Notes

Data Pipeline Hyperparameter Optimization - Politechnika Poznanska

Deep Learning Semantic Segmentation for Nucleus Detection - Dawid Rymarczyk

Distributed deep learning and why you may not need it - Jakub Sanojca, Mikuláš Zelinka

From Data to Deliverable - Steph Samson

Hand in hand with weak supervision using snorkel - Szymon Wojciechowski

High Performance Data Processing in Python - Donald Whyte

Hitting the gym: controlling traffic with Reinforcement Learning - Steven Nooijen

How I learnt computer vision by playing pool - Łukasz Kopeć

In Browser AI - neural networks for everyone - Kamila Stepniowska, Piotr Migdał

It is never too much: training deep learning models with more than one modality - Adam Słucki

Keynote - Aleksandra Przegalińska

Keynote - Lynn Cherny

Keynote - Stefania Druga - "Cognimates: Read, Write and Tinker with AI"

Keynote: The Neural Aesthetic - Gene Kogan

Learning to rank @ allegro.pl - Tomasz Bartczak, Ireneusz Gawlik

Predicting preterm birth with convolutional neural nets - Tomasz Włodarczyk, Szymon Płotka

PyTorch 1.0: now and in the future - Adam Paszke

Recognizing products from raw text descriptions using... - Tymoteusz Wołodźko, Tomasz Płomiński

Similarity learning using deep neural networks - Jacek Komorowski

Spammers vs. Data: My everyday fight - Juan De Dios Santos

Spot the difference: train your image analytics model to recognize fine grain...- Katarina Milosevic

Step by step face swap - Sylwester Brzęczkowski

The Dawn of Mind Reading in Python - Krzysztof Kotowski

The smart shopping basket: A Case Study with deep..- Marcin Stachowiak, Michal Dura, Piotr Szajowski

Uncertainty estimation and Bayesian Neural Networks - Marcin Możejko

Visualize, Explore and Explain Predictive ML Models - Przemyslaw Biecek

Accelerating Data Science with RAPIDS - Keith Kraus

Approaching AI in Banking - Hussain Sultan

Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott

Beautiful, Interactive, and Portable Maps using Folium and Live API Data - Ariel M'ndange-Pfupfu

Building a Machine Learning Enabled Bot in the Cloud - Jerry Hargrove

Cleaning and Tidying Data in Pandas - Daniel Chen

Dash: data exploration web apps in pure Python - Chelsea Douglas

Data visualization with plotly py: Version 3 and beyond - Jon Mease

Democratizing NLP content modeling with transfer learning using GPUs - Sanghamitra Deb

Developing Dashboard Applications using Bokeh - Luke Canavan

Dimensionally reducing data squeezing out the good stuff - Aabir Abubaker Kar

Do Your Homework! Writing tests for Data Science and Stochastic Code - David Waterman

End to End Machine learning pipelines for Python driven organizations - Nick Harvey

Five Kinds of Python Functions - Steven Lott

Going beyond “Sorry, I didn’t get that” building AI assistants that scale... - Justina Petraitytė

Graphs: Datastructures to Query - Benjamin Ortiz Ulloa

Inside Out - Creating a Python Ecosystem for Analysis and Better Government - Babila Lima

Intake - taking the pain out of data access - Martin Durant

Keynote: A Sailor's View of Python And the idea of "Defensive Programming" - Steven Lott

Keynote: Learning from Machines - Ashi Krishnan

Keynote: The Business of Open Source - Travis E. Oliphant

Keynote: Using Data Science to Recruit Data Scientists - Maryam Jahanshahi

Machine Learning in the age of increasing Data Privacy Consciousness - Sam Talasila

Making interactive visualizations easy, inside and outside of notebooks - Julia Signell

Measures and Mismeasures of Algorithmic Fairness - Manojit Nandi

Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brodie, Kiana Roshan Zamir

Probabilistic Programming in the Real World - Zach Anglin

Recreating, Understanding, and Visualizing FiveThirtyEight's... - Matthew Brems and Joseph Nelson

RESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro

Right Code, Right Place, Right Time - Tim Hopper

Scaling PyData with Dask - Martin Durant and Jim Crist

Sell cron, buy Airflow: Modern data pipelines in finance - James Meickle

Single Page Apps: What an API Developer Should Know - Alison Rowland

Skein: a simpler way to deploy applications on Hadoop Clusters - Jim Crist

Skorch - A Union of Scikit-learn and PyTorch - Thomas Fan

Task Failed Successfully - Jeremiah Lowin

The First Notebook War - Martin Skarzynski

Tracking plasma flows at the solar surface with the Solar Dynamics Observatory - Raphael Attie

uarray - Efficient and Generic Array Computation - Travis E. Oliphant, Saul Shanabrook

Using Sockeye Neural Machine Translation in a Streaming Pipeline - Jeff Zemerick

Web Scraping with Beautiful Soup - Monica Puerto

Webscraping Responsibly for Social Science Research - Graham MacDonald

Why do you have to make it so complicated? - James Powell, Brandon Burroughs, Daniel Allan

Words in Space: A Visual Exploration of Distance, Documents, and Distributions... - Rebecca Bilbro

PyParis 2018 - Sponsor speech (Wifirst)

Pycon Ireland 2018: Adding the three pillars of Observibility to your Python app - Eoin Brazil

Pycon Ireland 2018: An Idiots Guide to (Open) Data Science - Andrew Bolster

Pycon Ireland 2018: Asynchronous programming in Python - Mikhail Medvedev

Pycon Ireland 2018: Building a Fine Grained Image Classification System- Fergal Walsh

Pycon Ireland 2018: Django APIs, Versioning and You - Rebecca Martin

Pycon Ireland 2018: Functional Programming for Data Science - Neal Ó Riain

Pycon Ireland 2018: High Performance Data Processing in Python - Donald Whyte

Pycon Ireland 2018: Keynote: Coding for Pleasure - Miguel Grinberg

PyCon Ireland 2018: Keynote: Python in Education - Dr. Brett Becker & Keith Quille

Pycon Ireland 2018: Leaving Certificate Computer Science & Python - Stephen Murphy

Pycon Ireland 2018: Machine Translation with Keras - Bojan Bozic

PyCon Ireland 2018: More Than You Ever Wanted To Know About Python Functions - Mark Smith

Pycon Ireland 2018: Patient Data Made Real - Lorenzo Trojan

Pycon Ireland 2018: Powering up your Python web applications - Allyn Hunt

Pycon Ireland 2018: Prediction of risk factors for stroke - Olga Lyashevska

Pycon Ireland 2018: Profiling: Find the Squeaky Wheel - Nick Timkovich

Pycon Ireland 2018: Programming by poking: some experiences in teaching with Python - Ben Fagan

PyCon Ireland 2018: Publish a (Perfect) Python Package on PyPI - Mark Smith

Pycon Ireland 2018: Python as a tool for research - Dr Suzanne Little

PyCon Ireland 2018: Python on Windows is Okay, Actually -Steve Dower

PyCon Ireland 2018: Recruitment Session

Pycon Ireland 2018: Testing python security - Jose Manuel Ortega

Pycon Ireland 2018: Visualisation in Python - Shane Lynn

PyCon Ireland 2018: What is new in Python 3.7? - Stephane Wirtel

[ENG] Alexander Todorov: "How to write pylint plugins" / #PiterPy

[ENG] Аnton Shalimov: "Aviasales. A look under the hood. Tornado based search engine." / #PiterPy

[ENG] Artem Malyshev: "Readability matters" / #PiterPy

[ENG] Denis Kataev: "Python and binary data" / #PiterPy

[ENG] Dmitry Dygalo: "Testable code: making the (testing) world better" / #PiterPy

[ENG] Dmitry Karpov: "Real-time apps with Python. Tips and tricks" / #PiterPy

[ENG] Dmitry Nazarov: "EdgeDB workshop" / #PiterPy

[ENG] Jonas Obrist: "Artisanal Async Adventures" / #PiterPy

[ENG] Juan Luis Cano: "Catch that asteroid with poliastro!" / #PiterPy

[ENG] Konstantin Ignatov: "Python application monitoring: let's do it logging style" / #PiterPy

[ENG] Lena Volzhina: "How to combine physical models, ML and production performance" / #PiterPy

[ENG] Lynn Root: "asyncio in Practice: We Did It Wrong" / #PiterPy

[ENG] Mario Corchero: "Effortless Logging: A deep dive into the logging module" / #PiterPy

[ENG] Michal Karzynski: "Developing elegant workflows with Apache Airflow" / #PiterPy

[ENG] Miroslav Šedivý: "A Day Has Only 24±1 Hours: import pytz" / #PiterPy

[ENG] Panel discussion: The Future of Python / #PiterPy

[ENG] Pascal van Kooten: "High-Frequency Cryptocurrency Trading using Asyncio" / #PiterPy

[ENG] Piotr Migdal: "Learning neural networks within Jupyter Notebook" / #PiterPy

[RUS] Alexander Todorov: "How to write pylint plugins" / #PiterPy

[RUS] Аnton Shalimov: "Aviasales. A look under the hood. Tornado based search engine." / #PiterPy

[RUS] Artem Malyshev: "Readability matters" / #PiterPy

[RUS] Denis Kataev: "Python and binary data" / #PiterPy

[RUS] Dmitry Dygalo: "Testable code: making the (testing) world better" / #PiterPy

[RUS] Dmitry Karpov: "Real-time apps with Python. Tips and tricks" / #PiterPy

[RUS] Dmitry Nazarov: "EdgeDB workshop" / #PiterPy

[RUS] Jonas Obrist: "Artisanal Async Adventures" / #PiterPy

[RUS] Juan Luis Cano: "Catch that asteroid with poliastro!" / #PiterPy

[RUS] Konstantin Ignatov: "Python application monitoring: let's do it logging style" / #PiterPy

[RUS] Lena Volzhina: "How to combine physical models, ML and production performance" / #PiterPy

[RUS] Lynn Root: "asyncio in Practice: We Did It Wrong" / #PiterPy

[RUS] Mario Corchero: "Effortless Logging: A deep dive into the logging module" / #PiterPy

[RUS] Michal Karzynski: "Developing elegant workflows with Apache Airflow" / #PiterPy

[RUS] Miroslav Šedivý: "A Day Has Only 24±1 Hours: import pytz" / #PiterPy

[RUS] Panel discussion: The Future of Python / #PiterPy

[RUS] Pascal van Kooten: "High-Frequency Cryptocurrency Trading using Asyncio" / #PiterPy

[RUS] Piotr Migdal: "Learning neural networks within Jupyter Notebook" / #PiterPy

50 оттенков celery / Олег Чуркин (TechOps)

A Hacker's Guide to Securing Python Web Applications / Eyitemi Egbejule (NaijaSecForce)

Beyond jupyter / Андрей Попов (Positive Technologies)

Dark Python: Social engineering and hacking with 70% success rate / Lukas Hurych (Twisto.cz)

Django under microscope / Артем Малышев (Self Employed)

Эффективное использование Jupyter и PySpark на Hadoop / Павел Тарасов (ЦИАН)

High Performance Data Processing in Python / Donald Whyte (Engineers Gate)

Интерактивный и холиварный доклад про линтеры / Никита Соболев (wemake.services)

Как обновить Python 2.7 до Python 3.6 и не умереть / Александр Полищук (Код Безопасности)

Как учить людей программированию и радоваться жизни / Илья Лебедев (devman.org)

Как выкинуть из проекта C++ код, чтобы за это ничего не было / Александр Боргардт

Как защитить алгоритм машинного обучения от Adversarial-примеров / Сергей Дудоров (Digital Security)

Хорошие и плохие практики для написания тестируемого кода / Дмитрий Дыгало (kiwi.com)

Make Python fast again / Ефрем Матосян (Positive Technologies)

Мастер-класс "Эффективная Selenium-инфраструктура" / Иван Крутов (Aerokube)

Опыт использования Apache Kafka в World of Tanks / Левон Авакян (Wargaming)

Открытие Moscow Python Conf++ 2018

Pylint изнутри. Как он это делает / Максим Мазаев (ЦИАН)

Python Virtual Assistant, или Как собрать бота с AI на простом стеке / Олег Пличко

Распространенные ошибки в архитектуре Django-приложений / Алексей Половинкин (Agima)

Refactoring in Python: design patterns and approaches / Tin Marković (Kiwi.com)

Система ML-моделирования финансовых показателей / Олег Мангутов (Deloitte Analytics Insitute)

Создание DSL-компиляторов на Python / Пётр Советов (МИРЭА)

Theory of Neural Networks / Beau Carnes (freeCodeCamp.org)

Ускорение SQLAlchemy для архитектурных космонавтов / Алексей Старков (Qrator Labs)

Видеоотчет о Moscow Python Conf++ 2018

Wagtail: когда хочется чего-то приятнее, чем просто Django / Игорь Мосягин (Lamoda)

Запись трансляции Moscow Python Conf++ 2018. 22 окт, зал "Большой"

Запись трансляции Moscow Python Conf++ 2018. 22 окт, зал "Малый"

Запись трансляции Moscow Python Conf++ 2018. 23 окт, зал "Большой"

Запись трансляции Moscow Python Conf++ 2018. 23 окт, зал "Малый"

Запускаем Python-приложение в облака / Евгений Слезко (Marilyn)

PyData.tokyo One-day Conference 2018 Session1

PyData.tokyo One-day Conference 2018 Session2

PyData.tokyo One-day Conference 2018 Session3

PyData.tokyo One-day Conference 2018 Session4

PyData.tokyo One-day Conference 2018 Session5

PyData.tokyo One-day Conference 2018 Session6

PyData.tokyo One-day Conference 2018 Sponsor Session

[PyBR14] 0o0 (ETL Python e Ruby) - Python não tem preconceito - Elinaldo Monteiro

[PyBR14] 2 anos de trabalho remoto - Julio Melanda

[PyBR14] A Maelstrom of Pythons (using Python in disaster recovery at scale) - Hans Ragas

[PyBR14] AfroPython - Representatividade e ativismo com tecnologia - Felipe Morais

[PyBR14] Algoritmo Genético com Python - Ana Paula Mendes

[PyBR14] Aplicações serverless com Python - Desvendando esse mistério - Francisco Douglas

[PyBR14] Aplicações Tensorflow para IA com Python - André Claudino

[PyBR14] Application/Service Configuration sem dor de cabeça - Moisés Guimarães

[PyBR14] Apresentando graphene uma lib graphql para o django - Ciro Valente Filho

[PyBR14] ARTE + PROGRAMAÇÃO – Experiência com Processing - Milena Santos

[PyBR14] ASGARD: Abstraindo orquestradores de containers - Dalton Matos

[PyBR14] AutoML with Python - machine learning made easy(ish) - Leonardo Bezerra

[PyBR14] Aventuras de um Nômade Digital - Jonatas Baldin

[PyBR14] Brasil.IO: Dados abertos para mais democracia - Álvaro Justen

[PyBR14] Cara Gente Branca do RH - Andreza Alves Rocha

[PyBR14] CI/CD - Automatizando a entrega da sua aplicação - Yros Pereira

[PyBR14] Como Hackear a Biologia com Python - Inácio Gomes

[PyBR14] Como melhorar o onboarding no seu time com uma DevCLI - Camilla Crispim & Gabriel Barreto

[PyBR14] Como Programar seu Processo de Software - Robertson Novelino

[PyBR14] Computação Neuromórfica - Caroline Dantas Silva

[PyBR14] Comunidade e fazer dinheiro, é possível a convivência? - Renzo Nuccitelli

[PyBR14] Configurações de aplicações distribuídas com etcd - Wilson Júnior

[PyBR14] Coração de Node sempre cabe mais um: rodando Python com Node.js - Camilla Martins

[PyBR14] Corrotinas e Concorrência - Kauêh Moreno

[PyBR14] Criando um malware em Python em 20 minutos - Yan Orestes

[PyBR14] Da requisição à resposta - Como o Django processa uma requisição - Luciano Ratamero

[PyBR14] Database as a Service com python na globo.com - Mauro Murari

[PyBR14] De zero a dev em 3 meses - Fabricio Aguiar

[PyBR14] Desenhando Doideras com Python - Bernardo Fontes

[PyBR14] Django+: Do modelo de domínio às nuvens - Carlos Breno

[PyBR14] Django Rest Framework - Criando API's REST com 3 linhas de código - Carlos Andre Machado

[PyBR14] Entendendo o que danado é SSL/TLS com exemplos em Python - Moisés Guimarães

[PyBR14] Envie e Esqueça – Messaging 101 - Andre Pastore

[PyBR14] Event Sourcing em Python - Patrick Porto

[PyBR14] Experiências lúdicas na comunidade Python - Eduardo Oliveira

[PyBR14] Fazendo deploys de modelos em produção: chegou a hora do DataOps? - Daniela Petruzalek

[PyBR14] Fazendo interfaces em modo texto com Python e urwid - Elias Dorneles

[PyBR14] Física e Python, uma relação simples e prática! - Ana Maria Gomes

[PyBR14] Git for the Brave - Rebase - Filipe Carvalho Mondaini

[PyBR14] Go e Python lado a lado - Luciano Ramalho

[PyBR14] Hackeando redes neurais com Python - Diogo Felipe

[PyBR14] Implementando suporte a multi-tenancy em uma aplicação crítica - Victor Paiva

[PyBR14] Implementando um motor de busca em um projeto Django com Elasticsearch - Sarah Raquel

[PyBR14] Informação Salva - Marcelo Andriolli

[PyBR14] Infraestrutura MySQL no Facebook - Artur Rodrigues

[PyBR14] Inteligência Artificial aplicada ao mundo jurídico - Rhenan Bartels

[PyBR14] Keynote - Betina Manoel

[PyBR14[ Keynote - Guilherme Vierno

[PyBR14] Keynote - Judite Cypreste

[PyBR14] Keynote - Painel sobre dados abertos e tecnologias cívicas

[PyBR14] Lições sobre arquitetura de dados - Felippe Raposo

[PyBR14] Mapeando 1 milhão de recursos em uma Cloud - Ederson Brilhante

[PyBR14] Mas afinal, para que serve Análise de Sentimentos? - Betina Manoel

[PyBR14] "Mas dá pra abrir no Excel?" Exportando para txt, csv e JSON com Python - Renata D'Avila

[PyBR14] Medindo o preconceito no aprendizado de máquinas - Gustavo Soares

[PyBR14] Migrating an older code base to Python 3 - Dan Claudiu Dragos

[PyBR14] Minha experiencia em publicar um livro sobre Python - Daniel Furtado

[PyBR14] Não é magia, é tecnologia - Rafael Reimberg Lima

[PyBR14] O casamento sagrado entre o Pipfile, pip e Virtualenv - Allythy Souza

[PyBR14] O Marceneiro de software - Euclides da Cunha

[PyBR14] O patinho feio developer - Ivan Carmo da Rocha Neto

[PyBR14] Open Sourcing The New Test Framework From Facebook - Fabio Pugliese

[PyBR14] Pensamento Computacional com Blocos e Python - Givanaldo Rocha

[PyBR14] Porquê aprender Python? - Emanuel Gomes

[PyBR14] Predição de séries temporais - Matheus Inácio

[PyBR14] Prevendo o resultado de partidas de League of Legends com Python - Marcus Vinicius

[PyBR14] print("Você já ensinou Python para uma pessoa hoje?") - Soraya Medeiros

[PyBR14] Processando dados de acidentes de trânsito em streaming com PySpark - Isadora Barros

[PyBR14] Programação Cidadã: dados abertos e o porquê você deveria estar contribuindo - Pedro Baesse

[PyBR14] Programação para jornalistas: 3 meses de experiências em uma redação - Fernando Masanori

[PyBR14] Psicologia X Carreira Profissional: O autoconhecimento a seu favor! - Hervylla Almeida

[PyBR14] PyMongo: Trabalhando com Python e MongoDB - José de Arimatea Rocha Neto

[PyBR14] Python: Acelerando Soluções Utilizando GPU - Paulo Sérgio

[PyBR14] Python + Machine Learning aplicado em Cyber-Segurança - Victor Pasknel

[PyBR14] Python packaging sem complicação! - Débora Azevedo

[PyBR14] Que belo dia para a ciência! - Leticia Portella

[PyBR14] Reconhecimento de palavras em pt-br - Andressa Nepomuceno

[PyBR14] Robótica com Python: Caso Robolt-0 - Alynne Ferreira Sousa

[PyBR14] Servindo conteúdo em escala na globo.com - Pedro Kiefer

[PyBR14] Sistemas de Recomendação: From Zero to Hero - Betina Manoel

[PyBR14] Sonicbox: Fazendo Música com Sonic Pi e Kivy - Diego Guimarães

[PyBR14] SUAP - Um software desenvolvido por uma instituição pública - Eriton de Barros

[PytBR14] Ansible 101 - Jairo da Silva Junior

2nd Keynote by Sidu Ponnapa

3rd Keynote By Travis Oliphant

4th Keynote by Carol Willing

Adventures in iterations By Vikrant Patil

Alexa enabled smart home programming with Python By Sonal Raj

Amazing world of animation - powered by python By Sreenivas Alapati

AQR Quant De-Mystified By Navraj Bhardwaj

Automating testbed experiments, data collection and visualization with Python By Sunit Kumar Nandi

Bayesian A/B testing using Python By Vaibhav Pawar

Building better Python microservices using GRPC By Narendran R

Cleaning data with Python By Anand S

Creating 3rd generation Web APIs using Hydra and Hydrus By Akshay Dahiya

Deploying a Python web app onto a Kubernetes Cluster By Tarun Pothulapati

Django on day 500 By Amit Singh Sethi

Executing scripts in a few milliseconds with MicroPython By Marwan Al-Sabbagh

Experience with Python type hints By Kracekumar Ramaraju

FOSSASIA Community Talk By Mario Behling

Handling DASH streams - Generation, Consumption & Clipping By Arnav

How Helpshift built machine learning platform using Python at large scale By Shyam Shinde

Inside the World's Largest Python Course on Coursera By Charles Severance

Language Model (Text Analysis) using Python from scratch By Divya Choudhary

Large scale web crawling using Python By Anand B Pillai and Noufal Ibrahim

Learn Guitar Via Python Programming (MIDI Parsing) By Rishabh Shah and Srinivas Kalyani

[Lightning Talk] At the eye of the flood by Biswaz

Lightning Talk by DBS

Lightning Talk by Enfa Rose George

Lightning Talk by Marc Garcia

Lightning Talk by Yuktesh Chintamadaka (IBM)

[Lightning Talk] Climbing the Minesweeper Leaderboards by Samarth Hattangady

[Lightning Talk] Cool features of Python 3.7 by Jaysinh Shukla

[Lightning Talk] EEG Controlled Rover - A Brain-Computer Interface by Prajwal and Venkatesh

[Lightning Talk] Failure of the Tests

[Lightning Talk] i-Tagger by Pramati

[Lightning Talk] Machine Learning and AI for the Greater Good by Praveen Pankajakshan (Corteva)

[Lightning Talk] Micropython - Python for embedded Systems by Kalpit Champanery

[Lightning Talk] Python: Batteries Included. Now Bulletproof too by Soroco

[Lightning Talk] Smart Drowsiness Detection System using Deep Learning by Sai Amrit Patnaik

[Lightning Talk] Using ChainMaps to simplify CLI argument parsing by Govind

[Lightning Talk] Using Regular Expressions for parsing Indian Addresses by Yash Chilgupakar

[Lightning Talks] Leveraging Communities by Lakshya Sivaramakrishnan

Managing flood risk in this modern age By Arijit Saha and Atul Singh

Metaclasses and decorators: a match made in space By Ishan Srivastava

Optimizations in Web Development by Megha Sharma

Processing videos effectively By R S Nikhil Krishna and Lokesh Kumar T

PyCon India 2018 Opening Video by Ramesht Shukla

Pyflyby: Automatic imports for Python By Karl Chen

Python Project Workflows - Continuous Deployment Friendly By Abhijit Gadgil

Satellite Image Processing with Python By Shubham Sharma

Speed up your Python modules using Rust By Abhiram Ravikumar

Sponsor Talk - Indeed By Subhas KS and Yosef Wehby

Testing micro-services made easy By Devi A S L

The art of effective visualization of multi-dimensional data - Dipanjan Sarkar

The Growth of the Python Community in Africa By Marlene Mhangami

Understanding Caching in Python By Chirag Shah

Using Jupyter to Empower the Less Technical By Marc Udoff and Sriram Nagarajan

Using NLP to demystify 'Terms and Conditions' and summarize the contents By Aroma Rodrigues

VIDEO RESUMEN PYCONES 2018

Vote of Thanks - PyCon Team

What you need to know about data classes in Python 3.7 By Sasidhar Donaparthi

Adam Jurkiewicz - Python in schools in Poland - PyCode Conference 2018

Agata Skamruk & team - Thanks to sponsors and partners

Filip Szamborski - Czy Python umie latać? - PyCode Conference 2018

Kaja Milanowska - Artificial Intelligence in everyday medical practice - PyCode Conference 2018

Łucja Świetlińska i Dagmara Korusiewicz - Dlaczego Scrum nie działa - PyCode Conference 2018

Maciej Januszewski - AI w służbie zdrowia - Maciej Januszewski

Małgorzata Niewiem - GeoPython - how to save the world using Python - PyCode Conference 2018

Marcin Jaroszewski - Entliczek, pętliczek - Enum, czyli wyliczanki... - PyCode Conference 2018

Merixstudio - rozstrzygnięcie konkursu - PyCode Conference 2018

Michał Dżaman - Going big with Django - profiling, optimization and scaling - PyCode Conference 2018

Michał Jadczuk - Using convolutional neural networks to analyze - PyCode Conference 2018

Michał Wysokiński - AsyncIO in production - War Stories - PyCode Conference 2018

Mikaeil Orfanian - Design and Architecture in Every Day Programming - PyCode Conference 2018

Miłosz Kusiciel - Jak zwiekszyć wydajność w Django - PyCode Conference 2018

Pascal van Kooten - High-Frequency Cryptocurrency Trading using Asyncio - PyCode Conference 2018

Paweł Stoworowicz - Statyczne typowanie w Pythonie - type annotations & mypy -PyCode Conference 2018

Piotr Januszewski - Planning in Deep Reinforcement Learning - PyCode Conference 2018

Wojciech Barczyński - Effective CD for your platform with Kubernetes - PyCode Conference 2018

Wojciech Barczyński - How to monitor your micro-service with Prometheus? - PyCode Conference 2018

01-204_From Data to Web Application: Anime Character Image Recognition with...(Iskandar Setiadi)

01-205_Django を Zappaで構築してServerless Python のベストプラクティスを探る(向山 裕介/Yusuke Mukoyama)

01-206_Day2_Lightning Talk~Closing

02-204_1次元畳み込みフィルターを利用した音楽データのオートエンコーダ(新倉 涼太)

03-204_Pythonによる異常検知入門(大山匠)

03-205_料理写真が美味しく撮れる！ 開発現場から覗くAI料理カメラの裏側(森永雄也)

04-205_Pythonで始めるウェブスクレイピング実践入門(田中 慎太郎)

05-203_Python研修の作り方-Teaching Is Learning-(Yusuke Nishio)

05-204_Pythonで「お絵描きパズル」を解いてみた。(小栗　潤一)

06-204_Python, AWS and FinTech(Pavlos Christoforou)

07-204_C拡張と共に乗り切るPython 2→3移行術(末田卓巳)

07-205_AltJSとしてのPython - フロントエンドをPythonで書こう(長谷場 潤也)

01-101_実践・競馬データサイエンス(貫井 駿)

01-103_Pythonで時系列のデータを分析してみよう(Tatsuya Kobayashi)

01-104_Pythonistaの選球眼(せんきゅうがん) - エンジニアリングと野球の目利きになる技術(Shinichi NAKAGAWA(野球エンジニア))

01-105_Day1_Lightning Talk~Closing

01-201_Integrate Full-text Search service with Django(池内 孝啓 / Takahiro Ethan Ikeuchi)

01-202_JVM上で動くPython3処理系cafebabepyの実装詳解(澁谷 典明/Yoshiaki Shibutani)

01-203_複数アプリケーションのプロセスとログを管理するための新しいツールと手法(谷津真樹/Masaki Yatsu)

02-101_Why you should care about types: Python Typing in the Facebook Backend(Luka Sterbic)

02-102_オンザフライ高速化パッケージの比較：Numba, TensorFlow, Dask, etc(Yukio Okuda)

02-103_Fun with Python and Kanji(Michael Penkov)

02-104_Introduce syntax and history of Python from 2.4 to 3.7(Manabu TERADA)

02-201_Migrating from Py2 application to Py3: first trial in MonotaRO / Python2 から Python3 へ...(増田泰)

02-202_Sphinx-2.0 とドキュメントの未来(Takeshi KOMIYA)

02-203_Make a Drone using RaspberryPi and Google VoiceKit by Python(片寄 里菜 / Lina Katayose)

03-101_Applying serverless architecture pattern to distributed data processing(Denys Makogon)

03-102_Django REST Framework におけるAPI実装プラクティス(芝田 将)

03-103_The Modern OAuth 2.0(Hsiaoming Yang)

03-104_Rust と Python(Hideo Hattori)

03-201_SymPyによる数式処理(Hayao Suzuki)

03-202_Djangoだってカンバンつくれるもん(Django Channels + Vue)_(denzow)

03-203_契約書データ関連のAI開発に伴う、前処理及び匿名化処理についての実例(本田勝寛)

04-101_Day1_Opening~Keynote_Argentina in Python: community, dreams,...(Kaufmann Manuel)

04-102_招待講演_東大松尾研流 実践的AI人材育成法(中山 浩太郎)

04-104_Webアプリケーションの仕組み(Takayuki Shimizukawa)

04-105_あなたと私いますぐパッケージン(Atsushi Odagiri)

04-107_Pythonで解く大学入試数学(新井 正貴)

04-201_Day2_Keynote_「Pythonでやってみた」：広がるプログラミングの愉しみ(磯 蘭水)

04-202_niconicoにおけるコンテンツレコメンドの取り組み(大元 司)

04-203_Djangoアプリケーションにおけるトイル撲滅戦記(Yasuaki Matsuda)

04-204_Artisanal Async Adventures(Jonas Obrist)

05-202_Pythonでざっくり学ぶUnixプロセス(tell-k)

06-101_DjangoではじめるPyCharm実践入門(Kashun Yoshida)

06-102_Pythonを使ったハードウェア開発について(北神雄太)

06-103_Interactive Network Visualization using Python 〜 NetworkX + BokehでPEPの参照関係を...(Tomoko Furuki)

06-202_REST API に疲れたあなたへ贈る GraphQL 入門(Tsukagoshi Keisuke)

06-203_WILDCAT SDKは量子コンピュータビジネスの味方となるのか！？(あべんべん)

07-101_PyCon JP における子ども向けワークショップの活動事例と実施の意義(Daisuke Saito)

07-102_Interpretable Machine Learning, making black box models explainable with Python!(David Low)

07-103_メルカリにおける AI 活用事例(千葉 竜介)

07-104_自分が欲しいものをPythonで書く方法(Python for Myself)(杉山　剛)

07-201_HomeSecurity with Python(Yuki Takino)

07-203_Notebook as Web API: Turn your notebook into Web API(横石和貴)

EuroSciPy 2018 SESSION Track 2 - Afternoon (Part 2) 31 08 2018

EuroSciPy 2018 SESSION TRACK 2 MORNING 31 08 2018

Friday 31 August - Track 1 - Afternoon (Part 1)

Friday 31 August - Track 1 - Afternoon (Part 2)

Friday 31 August - Track 1 - Morning

EuroSciPy 2018 SESSION TRACK 2 AFTERNOON PART 2 30 08 2018

EuroSciPy 2018 SESSION TRACK 2 AFTERNOON PART 30 08 2018

EuroSciPy 2018 SESSION TRACK 2 MORNING 30 08 2018

Thursday 30 August - KEYNOTE - How to drive business decisions with AI

Thursday 30 August - Track 1 - Afternoon (Part 1)

Thursday 30 August - Track 1 - Afternoon (Part 2)

Thursday 30 August - Track 1 - Morning

Deep Diving into GANs: From Theory to Production Michele De Simoni, Paolo Galeone 29 08 2018

Deep Learning in Python using Chainer, C. Loomis 29 08 2018

EuroSciPy Advanced Session - CFFI, Ctypes, Cython: the Good, the Bad and the Ugly

EuroSciPy Advanced Session - Data visualization: from default to efficient

EuroSciPy Advanced Session - Parallel Data Analysis with Dask

EuroSciPy Advanced Session - The Hitchhiker's Guide to Parallelism with Python

EuroSciPy Applications Session Advanced machine learning, Y. Peleg 29 08 2018

EuroSciPy Applications Session Advanced Understanding and diagnosing your machine-learning29 08 2018

EuroSciPy 2017: Advanced Pandas

EuroSciPy 2017: AMfe - Finite Elements for Structural Dynamics with Simplicity in Mind

EuroSciPy 2017: Arcas - Using Python to access open research literature

EuroSciPy 2017: Autoscaling distributed compute with Dask, Kubernetes and AWS

EuroSciPy 2017: AutoWIG: Wrapping very large C++ libraries in Python automatically

EuroSciPy 2017: Bayesian Optimization - Can you do better than randomly guessing parameters?

EuroSciPy 2017: Cython

EuroSciPy 2017: Deep Learning for Fraud Detection

EuroSciPy 2017: fastmat - A simple Package for Fast Linear Transforms

EuroSciPy 2017: FluRS - A Library for Streaming Recommendation Algorithms

EuroSciPy 2017: Fully Convolutional Networks for Image Segmentation

EuroSciPy 2017: GeoPandas - geospatial data in Python made easy

EuroSciPy 2017: Getting the hang of WASM

EuroSciPy 2017: Git

EuroSciPy 2017: Handshakes, Citizen Science and Evolution

EuroSciPy 2017: Interactive 3D Visualization in Jupyter Notebooks

EuroSciPy 2017: Introduction into the ppci project

EuroSciPy 2017: Keras

EuroSciPy 2017: Keynote: How to Fix a Scientific Culture: Psychology as a Cautionary Tale

EuroSciPy 2017: Keynote: PyTorch: Framework for fast, dynamic deep learning and scientific computing

EuroSciPy 2017: Leverage knowledge from under-represented classes in machine learning

EuroSciPy 2017: Lightning Talks

EuroSciPy 2017: Matplotlib

EuroSciPy 2017: nbval - Testing your notebooks

EuroSciPy 2017: NetworkX

EuroSciPy 2017: NumPy (1/2)

EuroSciPy 2017: NumPy (2/2)

EuroSciPy 2017: Pandas

EuroSciPy 2017: Poster Introductions

EuroSciPy 2017: Pyrate - Optical Raytracing Based on Python

EuroSciPy 2017: Python (1/2)

EuroSciPy 2017: Python (2/2)

EuroSciPy 2017: Real-time Crowd-sourced Detection of Earthquakes

EuroSciPy 2017: Scikit-image

EuroSciPy 2017: Scikit-learn (1/2)

EuroSciPy 2017: Scikit-learn (2/2)

EuroSciPy 2017: SciPy

EuroSciPy 2017: Simphony-Remote - Accessing containerized desktop and web apps with a browser

EuroSciPy 2017: SymPy

EuroSciPy 2017: Testing the unknown: how to test scientific codes

EuroSciPy 2017: The OpenTURNS uncertainty quantification Python module

EuroSciPy 2017: Tricks for Efficient Multicore Computing

EuroSciPy 2017: Working with Audio Data in Python

EuroSciPy Advanced Session

EuroSciPy Advanced Session - A tour of Python profiling and optimization

EuroSciPy Advanced Session - Privacy for Data Scientists

EuroSciPy Applications Session

EuroSciPy Applications Session Handling Geospatial Data using Python, Part II

Friday 31 August - KEYNOTE - Python in medicine: processing, learning and visualization of data

Live stream di EuroSciPy Session 1

Live stream di EuroSciPy Session 1b

Live stream EusoSciPy2018 session 2

Live stream EusoSciPy2018 session 2b

Conference Close

Democratizing Data Tracy Teal (The Carpentries)

Disease Prediction Using the World's Largest Clinical Lab Dataset Cristian Capdevila (Prognos)

The Reporter's Notebook - Mark Hansen (Columbia Journalism School)

Why Contribute to Open Source? - Julia Meinweld (Two Sigma Investments)

Beyond Interactive: Scaling Impact with Notebooks at Netflix - Michelle Ufford (Netflix)

Binder: Lowering the bar to sharing interactive software- Tim Head (Wild Tree Tech)

Business Summit roundtable: The current environment

Canadians land on Jupyter - Ian Allison, James Colliander

Charles Smith (Netflix) interviewed at JupyterCon NY 2018

Containerizing notebooks for serverless execution (sponsored by AWS)

Current RISE capabilities and its evolution into the future- Damián Avila (Anaconda, Inc.)

Dan Mbanga (AWS) interviewed at JupyterCon NY 2018

Data Science as a Catalyst for Scientific Discovery Michelle Gill, Ph.D. (BenevolentAI)

Data science in US and Canadian higher education- Laura Noren (Obsidian Security)

Designing for interaction- Scott Sanderson (Quantopian)

Enterprise usage of Jupyter: The business case and best practices for leveraging open source

Explorations in reproducible analysis with Nodebook- Kevin Zielnicki (Stitch Fix)

Flipped learning with Jupyter: Experiences, best practices, and supporting research

GenePattern Notebook: Jupyter beyond the programmer

Going native: C++ as a first-class citizen of the Jupyter ecosystem

How JupyterLab and widgets enable interactive analysis of the Earth's past, present, and future

I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)

"If the data will not come to the astronomer. . ." - Adam Thornton (LSST)

Jupyter for every high schooler- Rob Newton (Trinity School)

Jupyter & Gravitational Waves - Will Farr (Stony Brook University)

Jupyter in the Enterprise - Luciano Resende (IBM Watson)

Jupyter Notebooks and the Intersection of Data Science - David Schaaf (Capital One)

Jupyter, sensitive data, and public policy- Julia Lane

Jupyter Trends in 2018 - Paco Nathan (derwen.ai)

Jupyter widgets- Maarten Breddels (Maarten Breddels), Sylvain Corlay (QuantStack)

JupyterLab and Plotly: A data visualization power couple- Lindsay Richman (McKinsey & Co.)

JupyterLab- Ian Rose (UC Berkeley), Chris Colbert (Project Jupyter)

Jupyter's configuration system

Keynote by Dan Romuald Mbanga (Amazon Web Services)

Learn by doing: Using data-driven stories and visualizations in the classroom

Making beautiful objects with Jupyter- M Pacer (Netflix)

nbinteract: Shareable interactive web pages from notebooks

Notebooks at Netflix: From analytics to engineering- Michelle Ufford (Netflix)

Open source software and the allocation of capital- Matt Greenwood (Two Sigma Investments)

Paul Ivanov (Bloomberg) interviewed at JupyterCon NY 2018

PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter

Real-time collaboration with Jupyter notebooks using CoCalc- William Stein (SageMath, Inc)

Reproducible data dependencies for Jupyter - Jackson Brown, Aneesh Karve

Reproducible education: What teaching can learn from open science practices

Reproducible quantum chemistry in JupyterLab - Chris Harris (Kitware)

Reproducible science with the Renku platform- Sandra Savchenko-de Jong (Swiss Data Science Center)

Scaling collaborative data science with Globus and Jupyter - Ian Foster

Scaling notebooks for deep learning workloads - Luciano Resende (IBM Watson)

Scheduled notebooks: A means for manageable and traceable code execution- Matthew Seal (Netflix)

SoS: A polyglot notebook and workflow system...- Bo Peng (The University of Texas)

Supporting reproducibility in Jupyter through dataflow notebooks

Sustaining Wonder: Jupyter and the Knowledge Commons - Carol Willing (Cal Poly San Luis Obispo)

SWAN: CERN's Jupyter-based interactive data analysis service - Diogo Castro (CERN)

Terraforming Jupyter: Changing JupyterLab to suit your needs

The Emacs Ipython Notebook- John Miller (Honeywell UOP)

The Future of Data-driven Discovery in the Cloud - Ryan Abernathey (Columbia University)

The journey to Julia 1.0: The "Ju" in Jupyter

The Jupyter Notebook as a transparent way to document machine learning model development

The reincarnation of a notebook- Tony Fast (Ronin), Nick Bollweg (Georgia Tech Research Institute)

Using Jupyter notebooks in highly regulated environments

Using Jupyter to Empower Enterprise Analysts - Dave Stuart (Department of Defense)

Using the MapD kernel for the Jupyter Notebook- Randy Zwitch (MapD)

Visualizing high-dimensional biological data with Clustergrammer-Widget in the Jupyter Notebook

Visualizing machine learning models in the Jupyter Notebook- Chakri Cherukuri (Bloomberg LP)

What things are correlated with gender diversity: A dig through the ASF and Jupyter projects

When Jupyter Becomes Pervasive at a University? Fernando Perez (UC Berkeley)

2to3 converter를 활용한 django 프로젝트 python 버전업 삽질기 - 남형걸

3D 그래픽 그 안에서의 Python - 하호준

3명에서 3천명 이상이 된 파이썬 커뮤니티의 여정 - Manoj Pandey