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Education Summit
Maintainers summit
SUMMIT / Typing
Trainers summit
Education Summit 2020
Python Steering Council Community Address
Python Trainers Summit - Hatchery 2020
Cameron Cairns - Web Scraping in Python - Pyninsula #24
Herbert Lee - Setting up a Private PyPI - Pyninsula #25
Jimmy Lai - Automated Python Refactoring Powered by LibCST - Pyninsula #25
Mahmoud Hashemi - Pocket Protector: Secrets as Code - Pyninsula #24
Neeraj Kashyap - Command-Line Yoga - Pyninsula #25
Oscar Westesson - Altair Will Change Your Life - Pyninsula #24
Airflow para Data Scientists, por Ignacio Javier Mermet
Análisis exploratorio de datos con Python, por João André
Aprendiendo CURSES y BLESSINGS para Terminal Scripting, por Martín Nieva
Astrofotografía pythónica con scikit-image y rawpy, por Claudio Freire
Buenas prácticas para lograr que el trabajo en Jupyter notebooks sea reproducible, por Diego Piloni
Caer con estilo: El modelo Buzz Lightyear de desarrollo de software, por Roberto Alsina
Celular, un testigo posible y silencioso, por María Andrea Vignau
CertMailer - Automatizar envío de certificados, por María Andrea Vignau
Charlas rápidas en la PyConAr 2019-21-06
Charlas rápidas en la PyConAr 2019-21-15
¿Cómo funcionan los Widgets de Jupyter?, por Augusto Kielbowicz
Conectando microservicios con Python, por Rodolfo E. Edelmann
Configuration-friendly apps, por Hernán Lozano
Conociendo las baterías de Python, por Martín Alderete
¡Construyamos juntos! Cómo y por qué tener un PyPI interno en tu organización, por Sofía Denner
¡Contribuir al Software Libre es la tarea!, por Luciano Rossi
Cultura constructiva y visión tecnológica, por Carlos Matías de la Torre y Javier Mansilla
Data-science a escala, con Python, en Mercadolibre, por Carlos Matías de la Torre
Desmitificando Python: típicas preguntas del primer tiempo, por Juan Pedro Fisanotti
El bug invisible, por Yonatan Romero
El desafío de enseñar Python a nivel universitario, por Felipe Morales
El onboarding es invisible a los ojos, por Matías Barriento
En un mundo de unos y ceros, vamos por la diversidad, por Las de sistemas
Enseñar programación y robótica sin morir en el intento, por Romina Fairbairn
Entendiendo asyncio sin usar asyncio, por Juan Pedro Fisanotti
Fuzz & Property Based Testing, por Pablo Fernandez
Grafos temporales sobre NetworkX, por Leonardo Morales
Ignis, una herramienta computacional para la educación, la ciencia y la innovación
Introducción a Python y Pandas para usuarios de Excel, por Fernando González Prada
Keynote: Martín Sarsale
LinuxChix: Open source minds, por Gessica Paniagua
Live Typing - Anotación automática de tipos para lenguajes dinámicos, por Hernán Wilkinson
Lo que nadie te dijo de migrar a Python 3, por Matias Lang y Eric Horvat
Los desafíos de formar a la nueva generación de chicas líderes en tecnología
Machine Learning y grafos, por Federico Albanese y Leandro Lombardi
Modernizando la clase de simulación con Python (¿Cómo aprendí Python para dar clases de simulación?)
μwsgi en producción: los defaults están mal, por Mariano García Berrotarán
No podemos innovar si seguimos realizando tareas manuales, por Osiris Gómez y Cristian G. Segarra
Objetos en Python de 0 a 99,9, por Matias Pereira
PEPificate: 10 PEP a los que deberías prestarles atención, por Juan Manuel Santos
Pipeline Jungles: Es una selva ahí fuera, por Axel Sirota
Procesing big data with Vaex, dataframes and no clusters, por Marco Carranza
Python en Debian: desde la visión de un novato, por Emmanuel Arias
Python para contadores y administrativos, por Gustavo Mena
Qué es y qué hacemos WWCode - Nuestros primeros 6 meses de gestión, por Silvia Daniela Belvedere
¿Qué tienen en común un código QR, un peluche, los Kanjis e ir a la casa de Damián?
RTB en Jampp: Arquitectura, optimizaciones y otras yerbas, por Luciano Lo Giudice
Serpientes y roedores, por Ricardo Kirkner
Trans-TI: Una empresa de IT que solamente emplea personas trans
uWSGI y Gunicorn - Cuándo elegir uno o otro, por Tárliton Godoy
Viaje al centro de Django, por Agustín Scaramuzza
Visor Ambiental. Herramienta para integrar datos científicos en intervención territorial sostenible.
Matthijs Brouns - Pipelines for Fairness: A Convexing Usecase | PyData Eindhoven 2019
How I turned a podcast into a business with Python (and some Other Tools we won't talk about)
Make your code come alive: using interactive Jupyter notebooks outside of the sciences
"See CPython run: Getting to know your Python interpreter" - James Bennett (North Bay Python 2019)
The blameless post mortem: how embracing failure makes us better
"The Secret Life Of Python" - Steve Dower (North Bay Python 2019)
"To **** With Passwords!" - Jacob Kaplan-Moss (North Bay Python 2019)
"A Gradual Introduction to Types" - Laura Hampton (North Bay Python 2019)
"A-hunting We Will Go: Debugging pytest with Django" - Cris Ewing (North Bay Python 2019)
"From Prison to Python" - Shadeed Wallace-Stepter (North Bay Python 2019)
"How To Build a Terrible Robot" - Paloma Fautley (North Bay Python 2019)
"Keep Calm and Mind the Docs" - Andrea Kao (North Bay Python 2019)
Let's build a video game, train a bot to play it, and deploy it on a smartphone in 30 minutes
Mass Decarceration: If We Don’t Hire People With Felony Convictions, Who Will?
PhD not required: a layperson's guide to reading journal articles
Python, Government, and Contracts: providing a tool to investigate corruption
Script Layering for large-scale number crunching in Python
Snek: A Python-Inspired Language for Tiny Embedded Computers
The New York Times: Sustainable Systems, Powered by Python
"What is a Coroutine Anyway?" - John Reese (North Bay Python 2019)
"What is a PLC and how do I talk Python to it?" - Jonas Neubert (North Bay Python 2019)
"Writing a PEG parser for fun and profit" - Guido van Rossum (North Bay Python 2019)
PyCon Sweden 2019 closing remarks
PyCon Sweden 2019 Opening
A Pythonista's Approch to DeepFakes - Navin Pai
Accessibility of Python and Data Science - Rishab, Shakul, Abhisar, Sunil
Anomaly Detection in Cyber Security for loT using Federated Learning - Bargava Subramanian
Atom Dynamics in 2 Dimensional Materials : Can Python Help?
Building GraphQL API with Django - Anitha
Call, Raise or Fold - Python for Simulating Poker Games - Abhijit Gadgil
Demystifying Web Map Servers: The Invisible side of geographic Information Systems - Shivashis Padhi
Entering the world of Serious Games with Python - Harshinee Sriram
Exploring Augmented Reality with Python - Srikar Mutnuri
Extracting tabular data from PDF'S with Camelot & Excalibur - Vinayak Mehta
Generators Explained - Rajat Vadiraj Dwaraknath
How we are building Smart Reply for Chat - Nirant Kasliwal
How we built a State Machine to keep up with a 1200+ Txs/second blockchain protocol - Anomit Ghosh
Indeed's Endeavor to "Push on Green" - Amulya Bandikatla
IndicNLP - Adam Shamsudeen, Kamal Raj, Selva Kumar
Keynote - David Beazley
Keynote - Devi A S L
Keynote - Ines Montani
Keynote - Jake Vanderplas
Let's Hunt a Memory Leak - Sanket
Lifting Up: Deep Learning For Implementing Anti-hunger and Anti-poverty Programs - Usha Rengaraju
Lightning Talk - Bhuvana
Lightning Talk - Eshan Singh
Lightning Talk - Gokul
Lightning Talk - Mohamed Javed - Jetbrains
Lightning Talk - Pradeek - Happyfox
Lightning Talk - Praveen J - AWS
Lightning Talk - Rohan Bhindwale - Bloomberg
Lightning Talk - Senthil
Lightning Talk - Srinivasan
Lightning Talk - Subin Siby | Selfie a Day Project
Lightning Talk - Sunil Kumar - Ericsson
Lightning Talk - Vishwesh K - Mad Street Den
Machine learning Algorithms from scratch in Python - Arjun Kathuria
Machine Learning Bias - AbdulMajedRaja RS
Machine Learning for loT at the Edge - Sukanya Mandal
Machine Learning Model and Dataset Versioning - Kurian Benoy
Maps, Delimitation, and Gerrymandering with Python - Anand S
Micropython: Building a Physical Inventory Search Engine - Vinay Keerthi
Natural Language Generation with Python - Jaidev Deshpande
Performance Optimization with Python Elasticsearch - Anisha Swain & Manaswini Das
Practical Introduction to Graph DBs, Graph Traversals in Python - Srimathi H
PyCon Ireland 2019 - Adding data visualisation to Flask app with React Victory charts - Allyn Hunt
PyCon Ireland 2019 - Automated Web-UI testing with behave-manners - Panos Christeas
PyCon Ireland 2019 - Chaos Engineering - Brian Neary & Vel Sailaja
PyCon Ireland 2019 - Dash: Interactive Data Visualization Web Apps with no Javascript - Dom Weldon
PyCon Ireland 2019-Dissecting tf.function to discover AutoGraph strengths & subtleties-Paolo Galeone
PyCon Ireland 2019 - Dynamically generating schemas from arbitrary objects - Jan van der Vegt
PyCon Ireland 2019 - Everybody Wants DATA!! - Olga Minguett
PyCon Ireland 2019 - Flask app with Twilio Programmable SMS API - Nahuel Sznajderhaus
PyCon Ireland 2019 - How I made a python program to beat the game I couldn't - Sanket Thakur
PyCon Ireland 2019 - How to Curate an NLP Dataset With Python - David Curran
PyCon Ireland 2019 - How to Webpack your Django! - David Gibbons
PyCon Ireland 2019 - I am telling you 3 things about Chatbot - Cheuk Ting Ho
PyCon Ireland 2019-Irish Earth Observation Python Module for Satellite Data Management - Guy Serbin
PyCon Ireland 2019 - Keynote: What Are Magic Methods? - Nick Timkovich
PyCon Ireland 2019 - Leveraging Public APIs for Machine Learning Datasets Johannes Ahlmann
PyCon Ireland 2019 - Lightning Talks
PyCon Ireland 2019 - Message Queue for Distributed Computing on Kubernetes - Selin Gungor
PyCon Ireland 2019 - MicroPython fun on €10 hardware - Sean Doherty
PyCon Ireland 2019 - Object Oriented Data Science for Production - Bethany Kok
PyCon Ireland 2019 - pflacs: Faster load cases and parameter studies - Stephen McEntee
PyCon Ireland 2019-Planning Vacation using Python, ML Google API & Cloud Database - Brendan Tierney
PyCon Ireland 2019 - Planning Your Hackerspace With Python - Andrew Bolster
PyCon Ireland 2019 - Pragmatic Machine Learning Product Development - Fergal Reid
PyCon Ireland 2019 - Push Over Pandas - Brian Carter
PyCon Ireland 2019 - PyMongo for Beginners - Joe Drumgoole
PyCon Ireland 2019 - Python DevOps flows with Ansible, Packer & Kubernetes - Mihai Criveti
PyCon Ireland 2019 - Python & digital preservation of Ireland's moving image heritage Kieran O'Leary
PyCon Ireland 2019 - Python for Computer Vision - Tatiana Habruseva
PyCon Ireland 2019 - Python iterators as a tool for analysing a social network - Yoni Lavi
PyCon Ireland 2019 - Recruitment Session
PyCon Ireland 2019 - Robust and charming dataviz with RainCloud Plots - Davide Poggiali
PyCon Ireland 2019 - Serverless Scheduling using Python Step Functions - Ben Ellerby
PyCon Ireland 2019 - Snakes on a (Control) Plane, Kubernetes Custom Resource - Karl O'Dwyer
PyCon Ireland 2019 - TensorFlow 2.0: Tensorflow Strikes Back - Michele de Simoni
PyCon Ireland 2019 - The Gender Data Gap - Louise O'Connor
PyCon Ireland 2019 - TOSS: Through Out Your Shell Scripts - Nick Timkovich
PyCon Ireland 2019 - Turning the database inside-out with Oracle OCI Streaming - Igor De Souza
PyCon Ireland 2019 - Unit & Integration Testing - Ignasi Bosch
PyCon Ireland 2019 - Visualising Youtube video context (NLP pipeline) - Krunoslav Plecko
PyCon Ireland 2019 - What's beyond Django Girls tutorial - Leticia Portella
PyCon Ireland 2019 - Will somebody please tell me what's going on? - Stephen Finucane
PyCon Ireland 2019 - Wrapping All Your Databases - Yiu Ming Huynh
PyCon Ireland 2019 - Zero to Blockchain in 30 minutes
PyCon Ireland - Equip Your Performance Toolbox - Cython v.s. Pybind11 - Gavin Chan
Python based simulation and treatment planning in Craniofacial Surgery - Akilesh Ramasamy
Python is NOT easy - Lesson's From Sympy's codebase - Sadhana Srinivasan
Python Packaging - Where We Are and Where We're Headed - Pradyun Gedam
Ragabot - Music Encoded - Vikrant Patil, Harsh Vinjamoor
Scaling up Data Pipelines using Apache Parquet and Dask - Lalit Musmade
"Smart lock? Nah dude.": Pwning a smart lock with Python - Anirudh & Raghav
Solving Industrial Problem with Machine Learning and Image Processing - Sonam Pankaj
spaCy PyTorch Transformers - Matthew Honnibal
Using Vulture to improve used-to-unused code ratio of your Python Programs - Rahul Jha
Visual Studio Code + Python = Awesomeness ! - Ashish Sahu & Sagar Bhanudas Josh
Alyssa Batula: What is Machine Learning, and How Do I Get Started? | PyData Indy 2019
Ben Fulton: Deep Learning Support at Indiana University | PyData Indy 2019
Calvin Hendrix-Parker: Road Warrior Developer | PyData Indy 2019
Chris Pfeiffer: Big Taco Data | PyData Indy 2019
Felix Wyss: Jupyter Notebooks in Visual Studio Code | PyData Indy 2019
Gregor von Laszewski: Data Analytics with the Big Data NIST Reference... | PyData Indy 2019
Justin Bolles: State of Modern Programing | PyData Indy 2019
Kristin Day: Artificial Intelligence: The Future of Healthcare | PyData Indy 2019
Luther Hill: Use Apache-Airflow to Build Data Workflows | PyData Indy 2019
Paul Buis: How to Roll your own Dockerized Jupyter Environment | PyData Indy 2019
Reg Montague: Business Impact of Industry 4.0 | PyData Indy 2019
Robert Herbig: Making AI More Accessible to the Non-Developer | PyData Indy 2019
2FA, WTF? - PyCon SG 2019
An introduction to Python for Machine Learning with VS Code and Azure - PyCon SG 2019
Automate the Boring Stuff with Slackbot - PyCon SG 2019
Building an analytics data pipeline using Airflow and PySpark - PyCon SG 2019
Building an interactive training environment using JupyterHub - PyCon SG 2019
Converting a Static Map image to an Interactive Floorplan - PyCon SG 2019
Day 2 Opening Keynote - PyCon SG 2019
Demystifying RPA with Python - PyCon SG 2019
Demystifying Time Series Forecasting using Python - PyCon SG 2019
Digital process automation (RPA) using TagUI for Python - PyCon SG 2019
Ending Keynote - PyCon SG 2019
Faster Python apps with open source APM - PyCon SG 2019
Graylog : Centralized logging of Application Logs - PyCon SG 2019
How to build stream data pipeline with Apache Kafka and Spark Structured Streaming - PyCon SG 2019
How to train a wacky language model - PyCon SG 2019
Koalas: Pandas API on Apache Spark - PyCon SG 2019
Machine Learning Model Development and Operation in DBS - PyCon SG 2019
Opening Keynote - PyCon SG 2019
Python on AWS Lambda - PyCon SG 2019
Scaling product support with Python at WhatsApp - PyCon SG 2019
Stream Processing Fundamentals with Apache Beam - PyCon SG 2019
The curious case of slow/fast grequests code - PyCon SG 2019
Transfer Learning in Natural Language Processing (NLP) - PyCon SG 2019
Value Investing using Python and Panda - PyCon SG 2019
When life gives you Orange, make data speak volumes! - PyCon SG 2019
When Uncertainty Matters: Stochastic Programming for Inventory Model with Python - PyCon SG 2019
Charlas relámpago 2019-10-08
PyCon China 2019 上海闪电演讲
Maya Ayoubi - Exploring 250+ Python Applications (Awesomely) - Pyninsula #21
Moshe Zadka - Boring Object Orientation - Pyninsula #21
Sanjay Siddhanti - Fast, Reproducible Data Science - Pyninsula #21
Lightning Talks, Day 3
1 编写安全的 Python 代码
1 基于 PyQt + QScintilla 的 IDE 对 RobotFramework 的 DSL 进行编程
1 Python 之路
1 Speed up File Transfers and File Copies in Python
10 Python 的 NLP 实战分享 如何实现合同风险预测模型
10 图算法你好：反欺诈应用介绍与实作
11 Python 与视效行业
11 一次关于 SQLAlchemy session 的项目排错经验分享
12 Python 与高中技术课程教学 以声音制造为例
2 Google SRE 体系核心基础解读
2 Python 在金融领域的商业应用及创新
2 Python与云 AWS的Python原生应用浅析
2 使用 Python 制作简单的家用Bot
3 从 Python 开始钱赚钱
3 Python3 的新特性和改进
3 Soft Skills For Software Developers
3 用 Python 实现文本信息的结构化信息提取
4 解放python的表达力，性能和安全性
4 人人都爱 DataFrame：Pandas 到 Mars 的进阶之路
4 一行代码加速科学计算
4 在30分钟内迁移 Python Web 应用到无服务器
5 Interactive Data Visualization With Dash
5 静态类型的 Python
5 数字货币交易系统架构和 Python 实现
5 用于 Linux 内核调试的 Python
6 基于 Flask 的 REST API 开发指南
6 Python 的智能问答之路
6 Python 语法扩展系统
6 云中起舞 —— Python 的人工智能开发在微软云中的应用
7 FPGA 助力 Python 加速计算
7 理解 Python AST
7 闪电演讲
7 用 MicroPython 触摸物理世界
8 FPGA 助力 Python 加速计算
8 Pipenv 和 Python 包管理
8 Python 助力 IoT 项目开发
9 类型检查拯救粗心开发者
9 闪电演讲
9 When Knowledge Graph meet Python
Lightning Talks, Day 2
Lightning Talks, Day 1
02-106_LightningTark~Closing
01-106_lightning~closing
Aaron Collier - Seeing your docs through different eyes: Mapping doc users experiences
Alison MacNeil - Documenting known unknowns
Arran Southall - Fostering Talent: Mentorship, Peer Reviews and Going Beyond Your Job Description
Ben Ahmady - Write the API docs before the API exists
Brian Lemke - How to launch your startup with good docs
Day 1 Lightning Talk #1 - Write the Docs Prague 2019
Day 1 Lightning Talk #2 - Write the Docs Prague 2019
Day 1 Lightning Talk #3 - Write the Docs Prague 2019
Day 1 Lightning Talk #4 - Write the Docs Prague 2019
Day 1 Lightning Talk #5 - Write the Docs Prague 2019
Day 2 Lightning Talk #1 - Write the Docs Prague 2019
Day 2 Lightning Talk #2 - Write the Docs Prague 2019
Day 2 Lightning Talk #3 - Write the Docs Prague 2019
Day 2 Lightning Talk #4 - Write the Docs Prague 2019
Ellie Farrier - Wild Geeks: Poetry in the Digital Age
Ilona Koren-Deutsch - Inclusive environments are just better: science says so
Introduction to Write the Docs Prague 2019
James Scott - How to write the perfect error message
Jen Lambourne - The UK government meets docs as code
Karen Sawrey - Disagree with “I Agree”.
Kayla Lee - The Super Effective Writing Process of Grammy-winning Artists
Kelly O'Brien - Surprise! You're a designer now.
Plamena Maleva - The Power of Empathy in Support Documentation: A 5-Step Guide
Prerana Pradhan - Fostering Technical Writing in Developing Nations
PYCON UK 2019 : Introduction
PYCON UK 2019 - Monday Lightning talks
Zachary Sarah Corleissen - Found in Translation: Lessons from a Year of Open Source Localization
PYCON UK 2019 - Sunday Introduction
PYCON UK 2019 Sunday Lightning talks
PyCon UK 2019 Saturday Introduction
PYCON UK 2019 - Saturday Lightning talks
PyCon UK 2019 Friday Introduction
PyCon UK 2019 Friday Lightning talks
Clausura PyCon Latam 2019 - Equipo Organizador
Lightning Talks / Charlas Relámpago - PyCon Latam 2019
Bienvenida PyCon Latam 2019
Videomemoria PyCon Latam 2019
Carla Sun - Hacking Habits - Pyninsula #20
Christopher Brousseau - TDD for Data with py.test - Pyninsula #20
Gui Talarico - Python in Architecture - Pyninsula #20
100억건의 카카오톡 데이터로 똑똑한 일상대화 인공지능 만들기 - 김준성 - PyCon.KR 2019
Adapting from Spark to Dask: what to expect - Vaibhav Srivastav - PyCon.KR 2019
Advanced Python testing techniques - 안재만 - PyCon.KR 2019
법률을 디버깅하다(Debugging law) - 김재윤 - PyCon.KR 2019
Build a Python IoT Image Classification solution - Dave Glover - PyCon.KR 2019
Click Click Boom! Bombs Over Our Minds - JunWei Song & KunYu Chen - PyCon.KR 2019
Closing - PyCon.KR 2019
Code review tips for Pythonistas - 新井 正貴 - PyCon.KR 2019
추천시스템, 이제는 돈이 되어야 한다. - 최규민 - PyCon.KR 2019
뚱뚱하고 굼뜬 판다스(Pandas)를 위한 효과적인 다이어트 전략 - 오성우 - PyCon.KR 2019
Django DB Router로 Database Read Replicas 100% 활용기 및 Troubleshooting 경험 공유 - 한종원 - PyCon.KR 2019
엔터프라이즈급 네트워크 운용 관리 - 고득녕 - PyCon.KR 2019
from banksalad import python - 황성현 - PyCon.KR 2019
게임(스플래툰2) 이벤트 알림 트위터 및 디스코드 봇 제작기 - 문현수 - PyCon.KR 2019
꼬마 모차르트가 되어보자(Feat. Magenta) - 김준우 - PyCon.KR 2019
고등학생이 직접 개발한 파이썬 프로젝트 사례 - 이준표 / 안우진 / 장민석 / 예두해 / 인상민 - PyCon.KR 2019
gRPC 와 python 을 활용한 Microservice 개발기 - 송지형 - PyCon.KR 2019
교육의 미래를 바꾸는 오늘의 파이써니스쿨 - 송석리 - PyCon.KR 2019
하이퍼커넥트 Azar WebView Logging - 이준영/용현택 - PyCon.KR 2019
하나의 Django 코드로 여러 사이트 운영하기 - 박종현 - PyCon.KR 2019
한국어 띄어쓰기 프로그램 도전기 - 최태균 - PyCon.KR 2019
How did i get here? - Pradyun Gedam - PyCon.KR 2019
정적 타입 검사로 더 나은 Python 코드 작성하기 - 이창희 - PyCon.KR 2019
집에서 만든 머신러닝 기반 자동번역기 (NO 딥러닝) - 이홍주 - PyCon.KR 2019
코알못 직장인의 파이썬-아래한글 도전기 - 신명진 - PyCon.KR 2019
MATLAB 사용자에서 Python 사용자로 거듭나기 - 조인태 - PyCon.KR 2019
머신러닝 및 데이터 과학 연구자를 위한 python 기반 컨테이너 분산처리 플랫폼 설계 및 개발 - 신정규 - PyCon.KR 2019
Multitasking 환경을 상대하기 위한 DB의 특성과 그런 DB를 상대하기 위한 Django - 문석환 - PyCon.KR 2019
오직 파이썬으로 이미지 인식 스피드런 - 최정현 - PyCon.KR 2019
OMG LIVE(無뜬금라이브): MONSTA X(몬스타엑스) _ DRAMARAMA(드라마라마)
온라인 뉴스 댓글은 정말 사람들의 목소리일까? - PART2 - 이준범 - PyCon.KR 2019
파이썬 3.7 어찌 그렇게 빨라졌나 - 정겨울 - PyCon.KR 2019
파이썬 웹서버 REST API 문서 쉽고 빠르게 작성하기 - 이용선 - PyCon.KR 2019
파이썬으로 구현하는 최적화 알고리즘 - 차지원 - PyCon.KR 2019
파이썬으로 해보는 화학실험 - 보일, 샤를의 법칙 - 신승우 - PyCon.KR 2019
파이썬으로 서버를 극한까지 끌어다 쓰기: Async I/O의 밑바닥 - 한섬기 - PyCon.KR 2019
파이썬과 함께라면 못 할 것은 없다 - 반병현 - PyCon.KR 2019
파이썬의 변수 (강한 타입, Immutable vs Mutable, Class vs Instance) - 조인석 - PyCon.KR 2019
Pickle & Custom Binary Serializer - 김영석 - PyCon.KR 2019
py2exe를 구현하는 기술과 원리 - 이정훈 - PyCon.KR 2019
PyCon Korea 2019 SwagBag Stuffing Timelaps
Python Daemonize: 파이썬으로 악마를 만들어보자 - 이수호 - PyCon.KR 2019
Python에서 DSL제작하기 - 하원호 - PyCon.KR 2019
Quantum Physics in Python: 파이썬으로 양자컴퓨팅 즐기기 - 최현수 - PyCon.KR 2019
라이트닝 토크 1일차 (토) - PyCon.KR 2019
라이트닝 토크 2일차 (일) - PyCon.KR 2019
Real-world asyncio - 김준기 - PyCon.KR 2019
Real world Graphene: lessons learned from building a GraphQL API - Marcin Gębala - PyCon.KR 2019
리얼월드 메타클래스 - 김성현 - PyCon.KR 2019
셀러리 핵심과 커스터마이제이션 - 이지훈 - PyCon.KR 2019
시간 복잡도로 살펴보는 파이썬 내장 자료형의 효율적인 활용 - 강대성 - PyCon.KR 2019
실시간 의료 인공지능 데이터 처리를 위한 Django Query Optimization - 윤소영 - PyCon.KR 2019
Takeaways from my 5-year volunteering journey in the Python community-Alysson Alvaran-PyCon.KR 2019
테스트에 걸리는 시간을 *92%* 줄이기 - 구영민 - PyCon.KR 2019
The Right Frameworks for the Right Time - Sean Ahn - PyCon.KR 2019
The State of Python - Carol Willing - PyCon.KR 2019
Conference Close
Sunday Lightning Talks
Saturday Lightning Talks
Day 2 SciPy Tools Plenary Session
Day 3 Lightning Talks
Day 3 SciPy Tools Plenary Session
Closing Session
Day 2 Lightning Talks
Sprint Orientation
Lightning Talks 2019-07-11
SciPy Tools Plenary Session
Opening Session
Recruiting Session
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
Lisa Roach - Your First Patch! - Pyninsula #19
Adding a GraphQL API to Django (with Vue.js frontend) - Manuel Riel
Addressing class imbalance in Machine Learning - Sara Iris Garcia
Advanced Google Colaboratory - Korakot Chaovavanich
AIoT: Intelligence on Low Power Microcontroller, with MicroPython - Andri Yadi
Any Code Formatter You Like - As Long As It's Black - Zsolt Dollenstein
Automate the Boring Stuff with Slackbot - Takanori Suzuki
Demystifying Conversational AI with Python - Avneet Kaur
Designing and Building Serverless Machine Learning-powered Applications with P... - Joshua Arvin Lat
Developing Natural Language Processing Applications Using Python - Tushar Bansal
E-commerce for Django - Jonghwa Seo
Facial Keypoints Detection with PyTorch - Nithiroj Tripatarasit
First steps in Deep Learning with TensorFlow 2.0 : CNNs - Martin Andrews
Forklifting Django: Migrating A Complex Django App To Kubernetes - Noah Kantrowitz
From 0 to Awesome: How we got Python to supercharge our ML stack - Amir Arad
Functional Programming in Python: Lessons from Haskell and Clojure - Anthony Khong
Fuzzy Multi-Criteria Portfolio Optimisation with Python (and maybe a little bi... - Poomjai Nacaskul
How pyThaiNLP's thai2fit Outperforms Google's BERT: State-of-the-Art Thai Text Classific... - Charin
How Python Can Excel - Katie Mclaughlin
How to build an open source catbot with Python, a 3D printer and a microcont... - Chanapai Chuadchum
How to meaningfully contribute to Python without being very good at programming - David Cournapeau
How We Start Building a Data-Informed Culture with Airflow (Replacement) - Kan Ouivirach
Hypothesis: Property-Based Testing for Python - Rae Knowler
Interactive Python Dashboards with Plotly and Dash - Doni Rubiagatra
Kotlin for Pythonista - Sarthak Deshwal
Marlin: A Smali to Python Transpiler for Android Hacking - Joe Chasinga
Production-ize deep learning with PyTorch, RedisAI and Hangar - Sherin Thomas
Program Thinking - How do you design programs for diversity? - Elisha Tan
PyCon CZ Ostrava 2019 DAY 2 - BALLROOM - Live Stream
PyCon CZ Ostrava 2019 DAY 2 - CLUB - Live Stream
Pyladies and Importance of community participation - Lina Katayose(selina)
Python Everywhere? - Russell Keith-magee
Python for Data Science Projects at Coraline - Jiranun Jiratrakanvong
Python made my dream come true - Akshat Sharma
Raiden Network for instant crypto payment & lower fees - Pisuth Daengthongdee
Ready to say goodbye to Python 2.7 ! ? - Noah Chen
Security Issues on your Python Code - Harley Davidson Karel
The Buzz about Bees - Robert Owen
The Fastest Path to Deep Learning - Sam Witteveen
Understanding and Implementing Generative Adversarial Networks (GANs): O... - Anmol Krishan Sachdeva
Unique ways to Hack into a Python Web Service - Tilak T
Unlocking the power of natural language by machine translation: ho... - Mohamed Ali Sola (dali Sola)
When life gives you Orange, make data speak volumes! - Drishti Jain
PyCon CZ Ostrava 2019 DAY 1 - BALLROOM - Live Stream
PyCon CZ Ostrava 2019 DAY 1 - CLUB - Live Stream
Automated Testing for Prose - Katy Decorah Lightning Talk
Captioning the Docs - Vanessa Stanton - Behind the Scenes of Write the Docs
Documentation for Good: Knowledge as a tool for equity and inclusion - Riona MacNamara
Documenting End of Life - Annie Bond Lightning Talk
Don't get RSI - Sandra Friesen Lightning Talk
Draw the Docs - Alicja Raszkowska
Good SEO = Good Content Strategy - Carolyn Gronlund Lightning Talk
Just Add Data: Make it easier to prioritize your documentation - Sarah Moir
SDK Reference Manuals: A flow-based approach - Chris Bush
Show Me the Money: How to Get Your Docs the Love and Support They Deserve - Matt Reiner
Subtle Issues with camelCase filenames - Carl Parker Lightning Talk
Cultivating a community of documentation advocates - Heather Stenson
Defying the Status Quo: How a grassroots effort can transform an organization - Jodie Putrino
Documenting for Open Source - Shannon Crabill
Harvest Past Experience to be a Great Tech Writer - Mark F Iverson
How I Learned to Stop Worrying and Love the Command Line - Mike Jang
How I post conference videos the same day - Behind the Scenes
How to edit other people's content without pissing them off - Ingrid Towey
Lessons Learned in a Year of Docs-Driven Development - Jessica Parsons
Lightning Talk: Comics in Docs - Tess Needham
Lightning Talk: Documenting the Documentarians - Kay Smoljak
Lightning Talk: How to host a doc bug bash - Lucie Lozinski
Lightning Talk: Influencing users to find answers in our docs - Grace Greenwood
Lightning Talk: To succeed as an internal writer... - Colin Torretta
Lightning Talk: Why you need peer reviews - Michael Khmelnitsky
Localize the Docs! - Paul Wallace
Product Documentation Strategy - Kay Miles
Tutorials, Tooltips, and Popups…oh MY! - Meghan Mahar
Welcome - Write the Docs Portland 2019
Writer? Editor? Teacher? - Kathleen Juell
Lightning Talks
Alex Martelli - Ask Me Anything
PyConX Conference Goodbye
PyConX Conference Welcome and Introduction
Mahmoud Hashemi - Face Facts - Pyninsula #18
Mark Rice - Come For The Language, Stay For The Community - Pyninsula #18
Mori Bellamy - Porygon: Automated Nintendo Switch Control - Pyninsula #18
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
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]
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)
[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
Keynote - Painel sobre dados abertos e tecnologias cívicas
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)
![Image from Алексей Борисенко - Сетевая программируемость с использованием Python [Ua]](https://i.ytimg.com/vi/-ruTn5dlvhE/maxresdefault.jpg)
![Image from Anton Caceres - The epic zoo of microservices [UA]](https://i.ytimg.com/vi/fdbxQl_nBVI/maxresdefault.jpg)
![Image from Christian Barra - Not just a Developer [En]](https://i.ytimg.com/vi/70r5Wef56_0/maxresdefault.jpg)
![Image from Елена Шилко - MQTT - прямая дорога в Интернет вещей [Ru]](https://i.ytimg.com/vi/awmb29PRmh8/maxresdefault.jpg)
![Image from Gabriel Bianconi - Introduction to Face Processing with Computer Vision [En]](https://i.ytimg.com/vi/heTaIMy1b_c/maxresdefault.jpg)
![Image from Jorge Torres - Machine Learning Democratization with Python [En]](https://i.ytimg.com/vi/lZ2-6MWgJag/hqdefault.jpg)
![Image from Михаил Фарапонов - Overview of Kubernetes Metacontrollers with Python [Ru]](https://i.ytimg.com/vi/mlMcH0va9n0/maxresdefault.jpg)
![Image from Тарас Мацик - Event Driven ML [UA]](https://i.ytimg.com/vi/QmyCHoRoXxw/maxresdefault.jpg)
![Image from Всеволод Соловьёв - Data science з печі до столу [Ru]](https://i.ytimg.com/vi/vawT4SpWjes/hqdefault.jpg)
![Image from [ENG] Alexander Todorov:](https://i.ytimg.com/vi/3CkSKUNMLJc/maxresdefault.jpg)
![Image from [ENG] Аnton Shalimov:](https://i.ytimg.com/vi/LQ9CmKjcvPA/maxresdefault.jpg)
![Image from [ENG] Artem Malyshev:](https://i.ytimg.com/vi/4WhKt10yby4/maxresdefault.jpg)
![Image from [ENG] Denis Kataev:](https://i.ytimg.com/vi/yn1DS-Q4Jqs/maxresdefault.jpg)
![Image from [ENG] Dmitry Dygalo:](https://i.ytimg.com/vi/pb-7xFp0TAI/maxresdefault.jpg)
![Image from [ENG] Dmitry Karpov:](https://i.ytimg.com/vi/TPv1Uc9iOPc/maxresdefault.jpg)
![Image from [ENG] Dmitry Nazarov:](https://i.ytimg.com/vi/xn9kumWbjGU/maxresdefault.jpg)
![Image from [ENG] Jonas Obrist:](https://i.ytimg.com/vi/UCppq7CM4Gg/maxresdefault.jpg)
![Image from [ENG] Juan Luis Cano:](https://i.ytimg.com/vi/hKXcNuTUPNg/maxresdefault.jpg)
![Image from [ENG] Konstantin Ignatov:](https://i.ytimg.com/vi/1tnbvXicqRY/maxresdefault.jpg)
![Image from [ENG] Lena Volzhina:](https://i.ytimg.com/vi/W3-6o-kZqUc/maxresdefault.jpg)
![Image from [ENG] Lynn Root:](https://i.ytimg.com/vi/ohZS2nKPezY/maxresdefault.jpg)
![Image from [ENG] Mario Corchero:](https://i.ytimg.com/vi/Q3PjTqRnIWc/maxresdefault.jpg)
![Image from [ENG] Michal Karzynski:](https://i.ytimg.com/vi/uCGuSt_yXkU/maxresdefault.jpg)
![Image from [ENG] Miroslav Šedivý:](https://i.ytimg.com/vi/XB_aUoLJiKg/maxresdefault.jpg)
![Image from [ENG] Panel discussion: The Future of Python / #PiterPy](https://i.ytimg.com/vi/3HpaLUFENu0/maxresdefault.jpg)
![Image from [ENG] Pascal van Kooten:](https://i.ytimg.com/vi/oZW7YOfJHN0/maxresdefault.jpg)
![Image from [ENG] Piotr Migdal:](https://i.ytimg.com/vi/5T1ADUruxTo/maxresdefault.jpg)
![Image from [RUS] Alexander Todorov:](https://i.ytimg.com/vi/TE1Gfx20Bhs/maxresdefault.jpg)
![Image from [RUS] Аnton Shalimov:](https://i.ytimg.com/vi/Aa7TRxZLcW0/maxresdefault.jpg)
![Image from [RUS] Artem Malyshev:](https://i.ytimg.com/vi/K6-OMvDPI-k/maxresdefault.jpg)
![Image from [RUS] Denis Kataev:](https://i.ytimg.com/vi/uCm4TK2Hggg/maxresdefault.jpg)
![Image from [RUS] Dmitry Dygalo:](https://i.ytimg.com/vi/zEBWwO_FnEc/maxresdefault.jpg)
![Image from [RUS] Dmitry Karpov:](https://i.ytimg.com/vi/_pf26OQ7ylI/maxresdefault.jpg)
![Image from [RUS] Dmitry Nazarov:](https://i.ytimg.com/vi/tNWG3NXaZHA/maxresdefault.jpg)
![Image from [RUS] Jonas Obrist:](https://i.ytimg.com/vi/f599jqFc8As/maxresdefault.jpg)
![Image from [RUS] Juan Luis Cano:](https://i.ytimg.com/vi/6L5CG4n1FTk/maxresdefault.jpg)
![Image from [RUS] Konstantin Ignatov:](https://i.ytimg.com/vi/csyXJ3FvCbM/maxresdefault.jpg)
![Image from [RUS] Lena Volzhina:](https://i.ytimg.com/vi/k2Fm5E0f3RA/maxresdefault.jpg)
![Image from [RUS] Lynn Root:](https://i.ytimg.com/vi/nM2RYzUVM78/maxresdefault.jpg)
![Image from [RUS] Mario Corchero:](https://i.ytimg.com/vi/Smw0Cqjr7hA/maxresdefault.jpg)
![Image from [RUS] Michal Karzynski:](https://i.ytimg.com/vi/iASzWXvj8eQ/maxresdefault.jpg)
![Image from [RUS] Miroslav Šedivý:](https://i.ytimg.com/vi/xarSjHvaF6E/maxresdefault.jpg)
![Image from [RUS] Panel discussion: The Future of Python / #PiterPy](https://i.ytimg.com/vi/IWR_WeqRTk4/maxresdefault.jpg)
![Image from [RUS] Pascal van Kooten:](https://i.ytimg.com/vi/rSqYFXyKbpw/maxresdefault.jpg)
![Image from [RUS] Piotr Migdal:](https://i.ytimg.com/vi/qomCrfctf70/maxresdefault.jpg)
![Image from [Lightning Talk] At the eye of the flood by Biswaz](https://i.ytimg.com/vi/2BiWTLmhDJ4/hqdefault.jpg)
![Image from [Lightning Talk] Climbing the Minesweeper Leaderboards by Samarth Hattangady](https://i.ytimg.com/vi/xDKaxTliecA/hqdefault.jpg)
![Image from [Lightning Talk] Cool features of Python 3.7 by Jaysinh Shukla](https://i.ytimg.com/vi/ybSkaLYrrWo/hqdefault.jpg)
![Image from [Lightning Talk] EEG Controlled Rover - A Brain-Computer Interface by Prajwal and Venkatesh](https://i.ytimg.com/vi/kuyZpOHDbss/hqdefault.jpg)
![Image from [Lightning Talk] Failure of the Tests](https://i.ytimg.com/vi/Pe2jED9mGyM/hqdefault.jpg)
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![Image from [Lightning Talk] Machine Learning and AI for the Greater Good by Praveen Pankajakshan (Corteva)](https://i.ytimg.com/vi/qih7c9tQSAo/hqdefault.jpg)
![Image from [Lightning Talk] Micropython - Python for embedded Systems by Kalpit Champanery](https://i.ytimg.com/vi/188QF0gThAs/hqdefault.jpg)
![Image from [Lightning Talk] Python: Batteries Included. Now Bulletproof too by Soroco](https://i.ytimg.com/vi/oRbbcwIkTRs/hqdefault.jpg)
![Image from [Lightning Talk] Smart Drowsiness Detection System using Deep Learning by Sai Amrit Patnaik](https://i.ytimg.com/vi/ZcvQs5a9H9M/hqdefault.jpg)
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![Image from [Lightning Talk] Using Regular Expressions for parsing Indian Addresses by Yash Chilgupakar](https://i.ytimg.com/vi/W-A1iPkoiFk/hqdefault.jpg)
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