June 3Main HallHall 3Hall 2 (Pydata)
08:30-09:30Registration and coffee
09:30-09:45Opening Session
09:45-10:30 Nicole Harris
PyPI: Past, Present and Future
10:30-11:00 Diabolical Python
Dan Gittik
Beautiful {Automation} System Tests using Pytest
Edward Haas
NLP on legal contracts
Uri Goren
11:00-11:45 Python Project Productionization
Yehuda Deutsch
Understanding Python’s Debugging Internals
Liran Haimovitch
Beyond Word Embeddings The Future of Semantic Represenation
Ari Bornstein
11:45-12:15 "Is it safe ?" - python code security tools
Yehuda Lavy
Fixtures and Test Doubles in Pytest
Gabor Szabo
Standardizing Clinical Data with Python
Jacob Barhak
12:15-12:45 Teaching Thousands Of CPUs How To Read
Roy Penn
Root Cause Analysis with eBPF & Python
Pavel Rogovoy
When the power of Where meeting the power of Share
Yehuda Horn
12:45-14:00 Lunch
14:00-14:30 Descriptors - Supercharge Your Dot
Miki Tebeka
Real world Graphene: lessons learned from building a GraphQL API on top of a large Django project
Marcin Gębala
Numpy: what has changed and what is going to change?
Matti Picus
14:30-15:00 Data Classes in Python: Why They're Great + Examples Using attrs and dataclasses
Tal Einat
Pipenv - The Python Companion You Wish You Always Had
Avi Aminov
JP Morgan Diamond Sponsor
Model explainability
Idan Angel
15:00-15:30 Coffee break
15:30-16:00 Logging Like a Pro - The Stuff They Don’t Tell You
David Bordeynik
When Deep Learning meets Production
Nadav Goldin
Automation of feature engineering: pros and cons
Bitya Neuhof
16:00-16:30 Parallel computing and Concurrency
Guy Doulberg
Settling new planets - adding Ansible modules and plugins
Barak Korren
Social Network Analysis - From Graph Theory to Applications with Python
Dima Goldenberg
16:30-17:00 Hacking Around Enumeration
Mark Geyzer
Rust is the next Python FFI
Shmuel Amar
AI based triage - predicting late and early mortality after emergency department visit.
Talia Tron
17:00-19:00 Social BoF *


* A Social BoF (Birds of a Feather) is an informal gathering with open discussion around a specific python-based subject.
We are planning on having approximately 10 different subjects, where attendees interested in that subject can participate.
We will try to have someone who will open the discussion and engage people, but where the discussion goes depends on you.
This will give you the opportunity to meet and network with people with similar interest. You can discuss related things that
you have been working on, problems that you have had, solutions that you have found, ask questions or just listen in.
Details will follow


June 4Main HallHall 3Hall 2 (Pydata)
08:30-09:30 Registration and coffee
09:30-10:30 Erel Levine
Beating #fakenews with Jupyter notebooks
10:30-11:00 Python 3.8 new stuff, assignment expressions and why Guido quits as BDFL
Eli Gur
PyPy - the hero we all deserve.
Amit Ripshtos
A Case study: How to effectively operationalize a Machine Learning model
Moran Haham
11:00-11:30 PySnooper - Never use print for debugging again
Ram Rachum
Boosting simulation performance with Python
Eran Friedman
Disease Modeling with Scipy and PyMC
Dean Langsam & Dor Kahana
11:30-11:45 Async/Awaiting Production
Ronnie Sheer
Pylint - Python static code analysis
Gilad Shefer
11:45-12:00 Hierarchical Temporal Memory in Python
Fred Rotbart
12:00-12:30 Serverless orchestration of async serverless workers in the cloud
Nikolay Grishchenko
Building ORMs from scratch with advanced Python
Barak Itkin
12:30-14:00 Lunch
14:00-14:30 Extend Kubernetes to make you a coffee
Daniel Belenky & Gal Ben Haim
Pandas for Fun and Profit: Using Pandas for Successful Investing.
Daniel Goldfarb
our DASK ETL Journy
Sephi Berry
14:30-15:00 From 2 to 3 in 1 go
Yael Green
Making our Municipalities more Transparent using Python!
Adam Kariv
How do algorithmic models become biased?
Eva Sasson
15:00-15:30 Coffee break
15:30-16:00 I hate security - Bluetooth distance detection story
Lior Mizrahi
Writing user space filesystems
Yuval Turgeman & Daniel Belenky
Building text classifiers with state-of-the-art Deep Learning frameworks
Inbal Horev
16:00-16:30 "Scope of Variables in Python" - A full scoop of python scopes!
Yoav Glazner
Decentralizing the cloud with Project Aleph (decentralized applications framework, aka "Look ma, no -centralized- cloud!")
Moshe Malawach
Data Pipelines - Comparing Airflow and Luigi by people who have made mistakes in both
Orr Shilon & Alex Levin
16:30-17:00 Closing Session

June 5Main HallHall 3Hall 2 (Pydata)
08:20-09:20 Registration and coffee
09:20-12:50 Making your Python code write your Python code - Marcin Sobczyk Cloud native CI/CD pipeline for enterprise grade python development on top of OpenShift platform - Dmitry Kartsev Network Science, Game of Thrones and Python - Mridul Seth
12:50-13:00 Break
13:00-16:30 Let's write a Lisp interpreter - Miki Tebeka Wrapping C code and running it in Python - Matti Picus Named entity recognition with deep learning - Uri Goren