BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//cfp.pycon.org.il// BEGIN:VTIMEZONE TZID:IST BEGIN:STANDARD DTSTART:20001006T020000 RRULE:FREQ=YEARLY;BYDAY=1FR;BYMONTH=10;UNTIL=20001005T230000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20010924T020000 RRULE:FREQ=YEARLY;BYDAY=4MO;BYMONTH=9;UNTIL=20010923T230000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20021007T020000 RRULE:FREQ=YEARLY;BYDAY=1MO;BYMONTH=10;UNTIL=20021006T230000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20031003T020000 RRULE:FREQ=YEARLY;BYDAY=1FR;BYMONTH=10;UNTIL=20031002T230000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20040922T020000 RRULE:FREQ=YEARLY;BYDAY=4WE;BYMONTH=9;UNTIL=20040921T230000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20051009T030000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=10;UNTIL=20051009T000000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20061001T030000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10;UNTIL=20061001T000000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20070916T030000 RRULE:FREQ=YEARLY;BYDAY=3SU;BYMONTH=9;UNTIL=20070916T000000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20081005T030000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10;UNTIL=20081005T000000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20090927T030000 RRULE:FREQ=YEARLY;BYDAY=4SU;BYMONTH=9;UNTIL=20090927T000000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20100912T030000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=9;UNTIL=20100912T000000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20111002T030000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10;UNTIL=20111002T000000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20120923T030000 RRULE:FREQ=YEARLY;BYDAY=4SU;BYMONTH=9;UNTIL=20120923T000000Z TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20131027T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:IST TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000414T030000 RRULE:FREQ=YEARLY;BYDAY=2FR;BYMONTH=4;UNTIL=20000414T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20010409T020000 RRULE:FREQ=YEARLY;BYDAY=2MO;BYMONTH=4;UNTIL=20010409T000000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20020329T020000 RRULE:FREQ=YEARLY;BYDAY=-1FR;BYMONTH=3;UNTIL=20030328T000000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20040407T020000 RRULE:FREQ=YEARLY;BYDAY=1WE;BYMONTH=4;UNTIL=20040407T000000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20050401T030000 RRULE:FREQ=YEARLY;BYDAY=1FR;BYMONTH=4;UNTIL=20050401T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20060331T030000 RRULE:FREQ=YEARLY;BYDAY=-1FR;BYMONTH=3;UNTIL=20100326T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20110401T030000 RRULE:FREQ=YEARLY;BYDAY=1FR;BYMONTH=4;UNTIL=20110401T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20120330T030000 RRULE:FREQ=YEARLY;BYDAY=-1FR;BYMONTH=3;UNTIL=20160325T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20170324T030000 RRULE:FREQ=YEARLY;BYDAY=4FR;BYMONTH=3;UNTIL=20180323T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20190329T030000 RRULE:FREQ=YEARLY;BYDAY=-1FR;BYMONTH=3;UNTIL=20220325T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20230324T030000 RRULE:FREQ=YEARLY;BYDAY=4FR;BYMONTH=3;UNTIL=20230324T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20240329T030000 RRULE:FREQ=YEARLY;BYDAY=-1FR;BYMONTH=3;UNTIL=20270326T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20280324T030000 RRULE:FREQ=YEARLY;BYDAY=4FR;BYMONTH=3;UNTIL=20290323T010000Z TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20300329T030000 RRULE:FREQ=YEARLY;BYDAY=5FR;BYMONTH=3 TZNAME:IDT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-conference-SNHCSQ@cfp.pycon.org.il DTSTART;TZID=IST:20190603T094500 DTEND;TZID=IST:20190603T103000 DESCRIPTION:The Python Package Index (PyPI) is the principal repository of software packages for the Python programming language. In this talk\, Nico le will dig into PyPI's history\, explore recent improvements\, and pose q uestions about the future of the service. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:PyPI: Past\, Present and Future - Nicole Harris URL:https://cfp.pycon.org.il/conference/talk/SNHCSQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-JWRKG9@cfp.pycon.org.il DTSTART;TZID=IST:20190603T103000 DTEND;TZID=IST:20190603T105500 DESCRIPTION:A collection of 3 short stories\, each one crazier than the las t: from tracing and metaprogramming to patching frame objects and rewritin g bytecode. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Diabolical Python - Dan Gittik URL:https://cfp.pycon.org.il/conference/talk/JWRKG9/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-NM7L77@cfp.pycon.org.il DTSTART;TZID=IST:20190603T103000 DTEND;TZID=IST:20190603T105500 DESCRIPTION:Most people would not consider the language written within lega l documents to be "natural" to any human being. We would demonstrate how t heir structure can be proved handy with several NLP techniques. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:NLP on legal contracts - Uri Goren URL:https://cfp.pycon.org.il/conference/talk/NM7L77/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-CEXDYF@cfp.pycon.org.il DTSTART;TZID=IST:20190603T103000 DTEND;TZID=IST:20190603T105500 DESCRIPTION:Test code\, no different from the production code\, needs to fo llow some principles\, patterns\, and practices to make it usable\, standi ng the test of time and change\, without rotting and becoming a maintenanc e burden.\nLets talk about making good tests. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Beautiful {Automation} System Tests using Pytest - Edward Haas URL:https://cfp.pycon.org.il/conference/talk/CEXDYF/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-YQ9GTM@cfp.pycon.org.il DTSTART;TZID=IST:20190603T110000 DTEND;TZID=IST:20190603T114000 DESCRIPTION:Most projects have a point where they become a product\, python projects are no different.\nProductionization of python projects starts w ith the first file in the repository\, this talk will try to go through th e process. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Python Project Productionization - Yehuda Deutsch URL:https://cfp.pycon.org.il/conference/talk/YQ9GTM/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-MXSNX8@cfp.pycon.org.il DTSTART;TZID=IST:20190603T110000 DTEND;TZID=IST:20190603T114000 DESCRIPTION:This presentation will review the strengths and weaknesses of u sing pre-trained word embeddings\, and demonstrate how to incorporate more complex semantic representation schemes such as Semantic Role Labeling\, AMR and SDP into your applications. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Beyond Word Embeddings The Future of Semantic Representation - Ari Bornstein URL:https://cfp.pycon.org.il/conference/talk/MXSNX8/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-FJRTML@cfp.pycon.org.il DTSTART;TZID=IST:20190603T110000 DTEND;TZID=IST:20190603T114000 DESCRIPTION:How debugging actually works in Python? what are the difference s between CPython and PyPy interpreters and what's their underlying debugg ing mechanism? learn how to utilize this knowledge at work and up your wat ercooler talk game. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Understanding Python’s Debugging Internals - Liran Haimovitch URL:https://cfp.pycon.org.il/conference/talk/FJRTML/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-M3RXZG@cfp.pycon.org.il DTSTART;TZID=IST:20190603T114500 DTEND;TZID=IST:20190603T121000 DESCRIPTION:A summary of commercial and open source tooling for python code security automatic scan. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:"Is it safe ?" - python code security tools - Yehuda Lavy URL:https://cfp.pycon.org.il/conference/talk/M3RXZG/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-N8WHJL@cfp.pycon.org.il DTSTART;TZID=IST:20190603T114500 DTEND;TZID=IST:20190603T121000 DESCRIPTION:The centralized database that holds clinical trial data is in n eed of standardization - python tools are used to help this effort DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Standardizing Clinical Data with Python - Jacob Barhak URL:https://cfp.pycon.org.il/conference/talk/N8WHJL/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-R7KYNS@cfp.pycon.org.il DTSTART;TZID=IST:20190603T114500 DTEND;TZID=IST:20190603T121000 DESCRIPTION:Writing tests is a great way to improve the quality of your app lication\,\nbut in a complex application that depends on various 3rd party APIs it\ncan be quite hard.\n\nPytest makes it easier. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Fixtures and Test Doubles in Pytest - Gabor Szabo URL:https://cfp.pycon.org.il/conference/talk/R7KYNS/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-ARYT79@cfp.pycon.org.il DTSTART;TZID=IST:20190603T121500 DTEND;TZID=IST:20190603T124000 DESCRIPTION:Amenity Analytics does NLP and machine learning using serverles s infrastructure almost exclusively. In this talk we'll cover what we do\, how we optimize it\, and how we scale analysis to meet demand DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Teaching Thousands Of CPUs How To Read - Roy Penn\, Uri Tsemach\, M oshe Hazoom URL:https://cfp.pycon.org.il/conference/talk/ARYT79/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-LKCH93@cfp.pycon.org.il DTSTART;TZID=IST:20190603T121500 DTEND;TZID=IST:20190603T124000 DESCRIPTION:How to create QGIS Python processing tools to improve sharing a nd integration. Using the power of QGIS to work on location data and use P ython power to share the data in various ways and to integrate the data in to other systems. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:When the power of "Where" meets the power of "Share" - Yehuda Horn URL:https://cfp.pycon.org.il/conference/talk/LKCH93/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-SDEAGH@cfp.pycon.org.il DTSTART;TZID=IST:20190603T121500 DTEND;TZID=IST:20190603T124000 DESCRIPTION:The new eBPF technology in the Linux kernel allows us to perfor m production-safe analytics in real time with minimal impact on the runnin g system. We show how a developer can monitor and detect performance issue s on a live production system\, explain DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Root Cause Analysis with eBPF & Python - Ido Ben-Yair\, Pavel Rogov oy URL:https://cfp.pycon.org.il/conference/talk/SDEAGH/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-78L3EB@cfp.pycon.org.il DTSTART;TZID=IST:20190603T140000 DTEND;TZID=IST:20190603T142500 DESCRIPTION:Descriptors are a less know but powerful Python tool. We'll see what they are and how to use them. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Descriptors - Supercharge Your Dot - Miki Tebeka URL:https://cfp.pycon.org.il/conference/talk/78L3EB/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-ZPQDHC@cfp.pycon.org.il DTSTART;TZID=IST:20190603T140000 DTEND;TZID=IST:20190603T142500 DESCRIPTION:Numpy is used as a data container and its APIs are well-defined . What you might not know about things that have changed lately and what y ou need to know about changes that are coming DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Numpy: what has changed and what is going to change? - Matti Picus URL:https://cfp.pycon.org.il/conference/talk/ZPQDHC/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-LEDK9S@cfp.pycon.org.il DTSTART;TZID=IST:20190603T140000 DTEND;TZID=IST:20190603T142500 DESCRIPTION:In this talk\, I want to share experiences of migrating from a standard Django architecture to a GraphQL-based app using Graphene framewo rk\, including keeping consistency in the implementation and shape of API\ , common API design issues and pitfalls. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Real world Graphene: lessons learned from building a GraphQL API on top of a large Django project - Marcin Gębala URL:https://cfp.pycon.org.il/conference/talk/LEDK9S/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-C83QGZ@cfp.pycon.org.il DTSTART;TZID=IST:20190603T143000 DTEND;TZID=IST:20190603T145500 DESCRIPTION:Data classes are very useful\, but not often used in Python. Th is talk will discuss how using data classes in Python improves code readab ility\, usability and robustness\, and show how to create them easily with the _attrs_ and _dataclasses_ libraries. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Data Classes in Python: Why They're Great + Examples Using attrs an d dataclasses - Tal Einat URL:https://cfp.pycon.org.il/conference/talk/C83QGZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-V78SQT@cfp.pycon.org.il DTSTART;TZID=IST:20190603T143000 DTEND;TZID=IST:20190603T145500 DESCRIPTION:Model explainability\, why should we care. How to explain ML mo dels? \nSHAP (SHapely Additive exPlanations)\, DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Model explainability - Idan Angel URL:https://cfp.pycon.org.il/conference/talk/V78SQT/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-8VCUDU@cfp.pycon.org.il DTSTART;TZID=IST:20190603T143000 DTEND;TZID=IST:20190603T145500 DESCRIPTION:Managing Python environment dependencies across an organization and between environments is always a pain. Pipenv makes it a little less painful by managing both the environment itself and its configuration. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Pipenv - The Python Companion You Wish You Always Had - Avi Aminov URL:https://cfp.pycon.org.il/conference/talk/8VCUDU/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-LKCTEP@cfp.pycon.org.il DTSTART;TZID=IST:20190603T153000 DTEND;TZID=IST:20190603T155500 DESCRIPTION:logger.info - practical considerations when using loggers DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Logging Like a Pro - The Stuff They Don’t Tell You - David Bordey nik URL:https://cfp.pycon.org.il/conference/talk/LKCTEP/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-SV7XAD@cfp.pycon.org.il DTSTART;TZID=IST:20190603T153000 DTEND;TZID=IST:20190603T155500 DESCRIPTION:Data scientists spend over 60% of their time doing feature engi neering. I will discuss automation of the feature engineering process\, us ing Featuretools\, in order to significantly reduce time investment\, make it repeatable\, more robust and creative. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Automation of feature engineering: pros and cons - Bitya Neuhof URL:https://cfp.pycon.org.il/conference/talk/SV7XAD/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-78LBFU@cfp.pycon.org.il DTSTART;TZID=IST:20190603T153000 DTEND;TZID=IST:20190603T155500 DESCRIPTION:A practical guide for defining effective interfaces between Pyt hon applications and Python-based Deep Learning algorithms DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:When Deep Learning meets Production - Nadav Goldin URL:https://cfp.pycon.org.il/conference/talk/78LBFU/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-KNXLY3@cfp.pycon.org.il DTSTART;TZID=IST:20190603T160000 DTEND;TZID=IST:20190603T162500 DESCRIPTION:Listing the different concurrency options in python DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Parallel computing and Concurrency - Guy Doulberg URL:https://cfp.pycon.org.il/conference/talk/KNXLY3/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-DNLWQC@cfp.pycon.org.il DTSTART;TZID=IST:20190603T160000 DTEND;TZID=IST:20190603T162500 DESCRIPTION:Social network analysis is the study of social structures throu gh the use of graph theory. In this talk I will present network theory and application of building and analyzing social networks for practical use-c ases in Python with NetworkX. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Social Network Analysis  -  From Graph Theory to Applications w ith Python - Dima Goldenberg URL:https://cfp.pycon.org.il/conference/talk/DNLWQC/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-HKU9VP@cfp.pycon.org.il DTSTART;TZID=IST:20190603T160000 DTEND;TZID=IST:20190603T162500 DESCRIPTION:Ansible is a popular tool for configuration management and auto mation. Let's learn how to use Python to extend Ansible with our own custo m plugins and modules. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Title: Settling new planets - adding Ansible modules and plugins - Barak Korren URL:https://cfp.pycon.org.il/conference/talk/HKU9VP/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-YBJW7T@cfp.pycon.org.il DTSTART;TZID=IST:20190603T163000 DTEND;TZID=IST:20190603T165500 DESCRIPTION:Extendable and easy-to-use lightweight enumeration alternative. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Hacking Around Enumeration - Mark Geyzer URL:https://cfp.pycon.org.il/conference/talk/YBJW7T/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-THSKET@cfp.pycon.org.il DTSTART;TZID=IST:20190603T163000 DTEND;TZID=IST:20190603T165500 DESCRIPTION:In this talk I will demonstrate how AI outperforms traditional triage measures for predicting early and late mortality after emergency de partment (ED) visit\, using EMR data of ~56K ED visits of adults patients over a period of 5 years. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:AI based triage - predicting late and early mortality after emergen cy department visit. - Talia Tron URL:https://cfp.pycon.org.il/conference/talk/THSKET/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-XWTX8C@cfp.pycon.org.il DTSTART;TZID=IST:20190603T163000 DTEND;TZID=IST:20190603T165500 DESCRIPTION:lets take a tour into Rust's Python ecosystem\, reviewing what rust has to offer to python and visit the crates that will build your next Rust Python native extensions. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Rust is the next Python FFI - Shmuel Amar URL:https://cfp.pycon.org.il/conference/talk/XWTX8C/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-HMLRPP@cfp.pycon.org.il DTSTART;TZID=IST:20190604T093000 DTEND;TZID=IST:20190604T103000 DESCRIPTION:Fact checking using python with Jupyter notebooks DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Beating #fakenews with Jupyter notebooks - Erel Levine URL:https://cfp.pycon.org.il/conference/talk/HMLRPP/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-SKNAGZ@cfp.pycon.org.il DTSTART;TZID=IST:20190604T103000 DTEND;TZID=IST:20190604T105500 DESCRIPTION:This talk will go over what's new in Python 3.8\, with emphasis on assignment expressions as well as the controversial talks that led Gui do to quit his position as BDFL DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Python 3.8 new stuff\, assignment expressions and why Guido quits a s BDFL - Eli Gur URL:https://cfp.pycon.org.il/conference/talk/SKNAGZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-7NGG9P@cfp.pycon.org.il DTSTART;TZID=IST:20190604T103000 DTEND;TZID=IST:20190604T105500 DESCRIPTION:This real-world model operationalization case study will highli ght common mistakes\, propose solutions\, workarounds and practical tips t o successfully deploy a ML model DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:A Case study: How to effectively operationalize a Machine Learning model - Moran Haham URL:https://cfp.pycon.org.il/conference/talk/7NGG9P/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-NRSC3U@cfp.pycon.org.il DTSTART;TZID=IST:20190604T103000 DTEND;TZID=IST:20190604T105500 DESCRIPTION:As a full-stack developer in an Algo-trading / HFT world\, I’ m being asked very often: “Yeah but\, python is too slow for that\, nope ?”\nDuring my talk\, I will demonstrate how I deal with performance / hi gh throughput problems using PyPy\, including exam DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:PyPy - the hero we all deserve. - Amit Ripshtos URL:https://cfp.pycon.org.il/conference/talk/NRSC3U/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-YCDJWB@cfp.pycon.org.il DTSTART;TZID=IST:20190604T110000 DTEND;TZID=IST:20190604T112500 DESCRIPTION:A new debugging solution for Python that became a huge hit over night DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:PySnooper - Never use print for debugging again - Ram Rachum URL:https://cfp.pycon.org.il/conference/talk/YCDJWB/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-NMQRK8@cfp.pycon.org.il DTSTART;TZID=IST:20190604T110000 DTEND;TZID=IST:20190604T114000 DESCRIPTION:Programs which aim eradicate disease must rely on interpretable models. These models quickly become hard to solve\, not to mention train on missing parameters. Scipy and PyMC come to our rescue for the heavy lif ting. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Disease Modeling with Scipy and PyMC - Dean Langsam\, Dor Kahana URL:https://cfp.pycon.org.il/conference/talk/NMQRK8/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-WTXML3@cfp.pycon.org.il DTSTART;TZID=IST:20190604T110000 DTEND;TZID=IST:20190604T112500 DESCRIPTION:In this talk I will present the architecture of our simulation infrastructure written in Python which allows to simulate hours of real-li fe in only minutes of simulation. I will describe challenges and issues we encountered and how we handled them. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Boosting simulation performance with Python - Eran Friedman URL:https://cfp.pycon.org.il/conference/talk/WTXML3/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-7KXUQM@cfp.pycon.org.il DTSTART;TZID=IST:20190604T113000 DTEND;TZID=IST:20190604T115500 DESCRIPTION:This session might give you what you need to assess whether the latest async Python APIs are right for your environment. We’ll look at challenges\, solutions\, considerations and most importantly examples. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Async/Awaiting Production - Ronnie Sheer URL:https://cfp.pycon.org.il/conference/talk/7KXUQM/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-NYDEEX@cfp.pycon.org.il DTSTART;TZID=IST:20190604T113000 DTEND;TZID=IST:20190604T115500 DESCRIPTION:Pylint is a Widely used and scalable Python static code analysi s tool. In this lecture we will learn how to configure\, extend and run it asw part of your CI. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Pylint - Python static code analysis - Gilad Shefer URL:https://cfp.pycon.org.il/conference/talk/NYDEEX/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-3BFQ3L@cfp.pycon.org.il DTSTART;TZID=IST:20190604T114500 DTEND;TZID=IST:20190604T122500 DESCRIPTION:Hierarchical Temporal Memory is a novel framework for biologica l and machine intelligence. It learns patterns from relatively little data and is well suited for prediction\, anomaly detection\, classification an d ultimately sensorimotor applications. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Hierarchical Temporal Memory in Python - Fred Rotbart URL:https://cfp.pycon.org.il/conference/talk/3BFQ3L/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-MRMPPQ@cfp.pycon.org.il DTSTART;TZID=IST:20190604T120000 DTEND;TZID=IST:20190604T122500 DESCRIPTION:Challenges and architectural solutions for mass usage of async FaaS workers. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Serverless orchestration of async serverless workers in the cloud - Nikolay Grishchenko URL:https://cfp.pycon.org.il/conference/talk/MRMPPQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-XQXFUJ@cfp.pycon.org.il DTSTART;TZID=IST:20190604T120000 DTEND;TZID=IST:20190604T122500 DESCRIPTION:Did you ever wonder how do [ORM](https://en.wikipedia.org/wiki/ Object-relational_mapping) systems do their magic? In this talk we'll cove r the Python features that enabled us to implement an ORM for a new DB sys tem in less than a day. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Building ORMs from scratch with advanced Python - Barak Itkin URL:https://cfp.pycon.org.il/conference/talk/XQXFUJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-GRBFXN@cfp.pycon.org.il DTSTART;TZID=IST:20190604T140000 DTEND;TZID=IST:20190604T142500 DESCRIPTION:Kubernetes/OpenShift is a portable\, extensible open-source pla tform for managing containerized workloads and services. In this session\, you will learn how to extend Kubernetes/OpenShift with Python to make you a cup of coffee. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:Extend Kubernetes to make you a coffee - Daniel Belenky\, Gal Ben H aim URL:https://cfp.pycon.org.il/conference/talk/GRBFXN/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-EMHZED@cfp.pycon.org.il DTSTART;TZID=IST:20190604T140000 DTEND;TZID=IST:20190604T142500 DESCRIPTION:Using [DASK](https://dask.org/) in an `ETL` pipeline has some g otcha's. \nAlthough there are many similarities to pandas there are some issues and best practices that can optimize the usage of DASK in general DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:our DASK ETL Journey - Sephi Berry URL:https://cfp.pycon.org.il/conference/talk/EMHZED/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-C9ZTHM@cfp.pycon.org.il DTSTART;TZID=IST:20190604T140000 DTEND;TZID=IST:20190604T142500 DESCRIPTION:Pandas is easy and fun to use\, so much so that even a Python n ewbie can use it. I tell the story of how\, as a new Python developer\, I quickly learned enough Pandas to be able test some hypotheses about finan cial markets. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Pandas for Fun and Profit: Using Pandas for Successful Investing. - Daniel Goldfarb URL:https://cfp.pycon.org.il/conference/talk/C9ZTHM/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-USQN3V@cfp.pycon.org.il DTSTART;TZID=IST:20190604T143000 DTEND;TZID=IST:20190604T145500 DESCRIPTION:How did we port our code from Python two to three is less than two months with one dedicated developer while ongoing development? Find ou t and learn why SAS and microservices are your friends. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:From 2 to 3 in 1 go - Yael Green URL:https://cfp.pycon.org.il/conference/talk/USQN3V/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-BNAVY7@cfp.pycon.org.il DTSTART;TZID=IST:20190604T143000 DTEND;TZID=IST:20190604T145500 DESCRIPTION:In this talk\, we will walk through a step by step example of b uilding a prediction algorithm\, focusing on areas where bias could be ina dvertently introduced. Then\, we'll look at some real examples and solutio ns. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:How do algorithmic models become biased? - Eva Sasson URL:https://cfp.pycon.org.il/conference/talk/BNAVY7/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-AXWC93@cfp.pycon.org.il DTSTART;TZID=IST:20190604T143000 DTEND;TZID=IST:20190604T145500 DESCRIPTION:DataCity is a project aimed at creating a single repository of all municipal data in Israel.\nI'll talk about the project and the Python toolset we've built to create and manage this large ETL operation. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Making our Municipalities more Transparent using Python! - Adam Kar iv URL:https://cfp.pycon.org.il/conference/talk/AXWC93/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-WQCTNN@cfp.pycon.org.il DTSTART;TZID=IST:20190604T153000 DTEND;TZID=IST:20190604T155500 DESCRIPTION:How easy is it to create tools with some Python and Bluetooth d evices? If you never want your office mates to mess with our PC in the nam e of security\, this talk is for you. DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:I hate security - Bluetooth distance detection story - Lior Mizrahi URL:https://cfp.pycon.org.il/conference/talk/WQCTNN/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-PFFVLT@cfp.pycon.org.il DTSTART;TZID=IST:20190604T153000 DTEND;TZID=IST:20190604T155500 DESCRIPTION:In this talk I will describe an end-to-end solution to a text c lassification problem using publicly available frameworks. I will focus on the practicalities of getting a Deep Learning-based text classification m odel up and running. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Building text classifiers with state-of-the-art Deep Learning frame works - Inbal Horev URL:https://cfp.pycon.org.il/conference/talk/PFFVLT/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-K3PBTV@cfp.pycon.org.il DTSTART;TZID=IST:20190604T153000 DTEND;TZID=IST:20190604T155500 DESCRIPTION:Implementing your own filesystem used to be difficult\, requiri ng in-depth kernel knowledge. For this reason FUSE (Filesystem in Userspa ce) was introduced. We will discuss how we can implement our filesystem i n python using the fuse python module. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Writing user space filesystems - Yuval Turgeman URL:https://cfp.pycon.org.il/conference/talk/K3PBTV/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-FZTLSX@cfp.pycon.org.il DTSTART;TZID=IST:20190604T160000 DTEND;TZID=IST:20190604T162500 DESCRIPTION:In this talk I'll present the python scope of variables\, globa l\, nonlocal\, closures\, LEGB rule and some known and less-known gotcha's of python scopes! attending this talk will might result a small headache \;) DTSTAMP:20260610T055635Z LOCATION:Main Hall SUMMARY:"Scope of Variables in Python" - A full scoop of python scopes! - Y oav Glazner URL:https://cfp.pycon.org.il/conference/talk/FZTLSX/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-WSWSFG@cfp.pycon.org.il DTSTART;TZID=IST:20190604T160000 DTEND;TZID=IST:20190604T162500 DESCRIPTION:Data is Twiggle's bread and butter\, so choosing the right data pipelining framework was critical for us. After comparing Luigi and Airfl ow pipelines we ended up selecting both! We’ll explain why\, present our unique challenges and chosen solutions. DTSTAMP:20260610T055635Z LOCATION:Hall 2 (PyData) SUMMARY:Data Pipelines - Comparing Airflow and Luigi by people who have mad e mistakes in both - Alex Levin URL:https://cfp.pycon.org.il/conference/talk/WSWSFG/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference-HCF9FJ@cfp.pycon.org.il DTSTART;TZID=IST:20190604T160000 DTEND;TZID=IST:20190604T162500 DESCRIPTION:Our web is a world of silos\, we need to decentralize that! Let 's try to make it simple\, and without the drawbacks normally associated w ith blockchain dApps. In python\, of course. DTSTAMP:20260610T055635Z LOCATION:Hall 3 SUMMARY:Decentralizing the cloud with Project Aleph (decentralized applicat ions framework\, aka "Look ma\, no -centralized- cloud!") - Moshe Malawach URL:https://cfp.pycon.org.il/conference/talk/HCF9FJ/ END:VEVENT END:VCALENDAR