Adam Kariv

“Making our Municipalities more Transparent using Python!”


Alex Levin

“Data Pipelines - Comparing Airflow and Luigi by people who have made mistakes in both”


Amit Ripshtos

“PyPy - the hero we all deserve.”


Ari Bornstein

“Beyond Word Embeddings The Future of Semantic Representation”


Avi Aminov

“Pipenv - The Python Companion You Wish You Always Had”


Barak Itkin

“Building ORMs from scratch with advanced Python”


Barak Korren

“Title: Settling new planets - adding Ansible modules and plugins”


Bitya Neuhof

“Automation of feature engineering: pros and cons”


Dan Gittik

“Diabolical Python”


Daniel Belenky

“Extend Kubernetes to make you a coffee”


Daniel Goldfarb

“Pandas for Fun and Profit: Using Pandas for Successful Investing.”


David Bordeynik

“Logging Like a Pro - The Stuff They Don’t Tell You”


Dean Langsam

“Disease Modeling with Scipy and PyMC”


Dima Goldenberg

“Social Network Analysis  -  From Graph Theory to Applications with Python”


Dor Kahana

“Disease Modeling with Scipy and PyMC”


Edward Haas

“Beautiful {Automation} System Tests using Pytest”


Eli Gur

“Python 3.8 new stuff, assignment expressions and why Guido quits as BDFL”


Eran Friedman

“Boosting simulation performance with Python”


Erel Levine

“Beating #fakenews with Jupyter notebooks”


Eva Sasson

“How do algorithmic models become biased?”


Fred Rotbart

“Hierarchical Temporal Memory in Python”


Gabor Szabo

“Fixtures and Test Doubles in Pytest”


Gal Ben Haim

“Extend Kubernetes to make you a coffee”


Gilad Shefer

“Pylint - Python static code analysis”


Guy Doulberg

“Parallel computing and Concurrency”


Idan Angel

“Model explainability”


Ido Ben-Yair

“Root Cause Analysis with eBPF & Python”


Inbal Horev

“Building text classifiers with state-of-the-art Deep Learning frameworks”


Jacob Barhak

“Standardizing Clinical Data with Python”


Lior Mizrahi

“I hate security - Bluetooth distance detection story”


Liran Haimovitch

“Understanding Python’s Debugging Internals”


Marcin Gębala

“Real world Graphene: lessons learned from building a GraphQL API on top of a large Django project”


Mark Geyzer

“Hacking Around Enumeration”


Matti Picus

“Numpy: what has changed and what is going to change?”


Miki Tebeka

“Descriptors - Supercharge Your Dot”


Moran Haham

“A Case study: How to effectively operationalize a Machine Learning model”


Moshe Hazoom

“Teaching Thousands Of CPUs How To Read”


Moshe Malawach

“Decentralizing the cloud with Project Aleph (decentralized applications framework, aka "Look ma, no -centralized- cloud!")”


Nadav Goldin

“When Deep Learning meets Production”


Nicole Harris

“PyPI: Past, Present and Future”


Nikolay Grishchenko

“Serverless orchestration of async serverless workers in the cloud”


Pavel Rogovoy

“Root Cause Analysis with eBPF & Python”


Ram Rachum

“PySnooper - Never use print for debugging again”


Ronnie Sheer

“Async/Awaiting Production”


Roy Penn

“Teaching Thousands Of CPUs How To Read”


Sephi Berry

“our DASK ETL Journey”


Shmuel Amar

“Rust is the next Python FFI”


Tal Einat

“Data Classes in Python: Why They're Great + Examples Using attrs and dataclasses”


Talia Tron

“AI based triage - predicting late and early mortality after emergency department visit.”


Uri Goren

“NLP on legal contracts”


Uri Tsemach

“Teaching Thousands Of CPUs How To Read”


Yael Green

“From 2 to 3 in 1 go”


Yehuda Deutsch

“Python Project Productionization”


Yehuda Horn

“When the power of "Where" meets the power of "Share"”


Yehuda Lavy

“"Is it safe ?" - python code security tools”


Yoav Glazner

“"Scope of Variables in Python" - A full scoop of python scopes!”


Yuval Turgeman

“Writing user space filesystems”