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-conference2021-DKLWSD@cfp.pycon.org.il DTSTART;TZID=IST:20210502T100000 DTEND;TZID=IST:20210502T102500 DESCRIPTION:In the world of malware detection\, we need to keep innovating all the time to catch the latest APTs. Let's see how can we do it with rec ent developments in graph analysis using neural networks DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Malware Representation Using Graphs - Gal Braun URL:https://cfp.pycon.org.il/conference2021/talk/DKLWSD/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-DFMUFY@cfp.pycon.org.il DTSTART;TZID=IST:20210502T100000 DTEND;TZID=IST:20210502T102500 DESCRIPTION:Beyond basic algorithmic considerations when writing our code\, you would be surprised how easy it is to get more than 100X increase in e fficiency with less than 30 minutes of work without even improving the tim e complexity. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Beyond Time Complexity – NumPy\, Pandas and vanilla python optimi zation tricks you must try - Oren Matar URL:https://cfp.pycon.org.il/conference2021/talk/DFMUFY/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-ARN7AA@cfp.pycon.org.il DTSTART;TZID=IST:20210502T100000 DTEND;TZID=IST:20210502T102500 DESCRIPTION:Developers use the term "mocks" and "mocking" when referring to several different testing practices. \nThe talk will standardize the term inology of Mocks\, Stubs\, and Fakes: their capabilities\, the differences between them\, and when to use each one. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:Go Beyond Mock: on Mocks\, Stubs and Fakes - Peter Kogan URL:https://cfp.pycon.org.il/conference2021/talk/ARN7AA/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-EYEWSE@cfp.pycon.org.il DTSTART;TZID=IST:20210502T103000 DTEND;TZID=IST:20210502T105500 DESCRIPTION:It’s good for feature reuse in machine learning\, thereby inc reasing data science accuracy\, velocity\, and visibility. DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:A Feature Store - what is it good for? - Orr Shilon URL:https://cfp.pycon.org.il/conference2021/talk/EYEWSE/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-ZLCZ9V@cfp.pycon.org.il DTSTART;TZID=IST:20210502T103000 DTEND;TZID=IST:20210502T105500 DESCRIPTION:Software and algorithm teams have different needs\, still\, pyt hon can become a common language and satisfy the needs of both teams.\nWe will see how python as a common language boosts our development process. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Python - the golden bridge between algorithm and software developme nt - Meir Vengrover URL:https://cfp.pycon.org.il/conference2021/talk/ZLCZ9V/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-ULAKS9@cfp.pycon.org.il DTSTART;TZID=IST:20210502T103000 DTEND;TZID=IST:20210502T105500 DESCRIPTION:While most of our online lives revolve around short texts\, the re's very little information on how to apply NLP techniques on such texts. In this talk\, I'll share the lessons we learned and the methodology we d eveloped when dealing with short texts. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Short Text in the Wild - Gal Hochma URL:https://cfp.pycon.org.il/conference2021/talk/ULAKS9/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-VXF887@cfp.pycon.org.il DTSTART;TZID=IST:20210502T110000 DTEND;TZID=IST:20210502T112500 DESCRIPTION:Modern distributed software doesn't stop at your VPC. Edge depl oyed software needs realtime communications\, updates\, and state sync. It needs RPC and PubSub over the web. Lets make it open-source. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:Python RPC and PubSub over Websockets - Or Weis URL:https://cfp.pycon.org.il/conference2021/talk/VXF887/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-LTUZTF@cfp.pycon.org.il DTSTART;TZID=IST:20210502T110000 DTEND;TZID=IST:20210502T112500 DESCRIPTION:This talk will review some of the most common pitfalls that can cause otherwise perfectly good Pandas code to grind to be too slow for an y time-sensitive applications\, and walk through a set of tips and tricks to avoid them. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Practical Optimisation for Pandas - Eyal Trabelsi URL:https://cfp.pycon.org.il/conference2021/talk/LTUZTF/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-VAGUJY@cfp.pycon.org.il DTSTART;TZID=IST:20210502T110000 DTEND;TZID=IST:20210502T112500 DESCRIPTION:JupyterLab does not have state management as do other commonly used frontend frameworks. This is needed to create multi-page applications with connected forms and shared data. We solved this by developing a a cu stom solution\, which we will present. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Application State Management - Rachel Chocron URL:https://cfp.pycon.org.il/conference2021/talk/VAGUJY/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-YXFHMY@cfp.pycon.org.il DTSTART;TZID=IST:20210502T113000 DTEND;TZID=IST:20210502T115500 DESCRIPTION:In online advertising\, we run a lot of online tests to determi ne which approach boosts our engagement the most. We talk about different ways of online testing through the perspective of a new feature we develop ed that is based on continuous testing. DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:Methods for Effective Online Testing in Python - Luka Androjna URL:https://cfp.pycon.org.il/conference2021/talk/YXFHMY/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-XQ3JJQ@cfp.pycon.org.il DTSTART;TZID=IST:20210502T113000 DTEND;TZID=IST:20210502T121500 DESCRIPTION:In K we had a simple task: build a chatbot. With a lot of logic al paths. And loops. And external interrupts. In this talk I will present our fairly exotic solution\, that looks like a resumable function\, which is persisted across user requests. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Resumable persistent functions in Python: how to build a chatbot th e fun way - Alon Gal URL:https://cfp.pycon.org.il/conference2021/talk/XQ3JJQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-9PELET@cfp.pycon.org.il DTSTART;TZID=IST:20210502T113000 DTEND;TZID=IST:20210502T121500 DESCRIPTION:I plan to discuss three archetypical war-stories about fitting in memory. In each of them\, I'll describe both the technical challenge an d the human biases that needed to be overcome to arrive at sound solutions . DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:War stories: when data doesn't (easily) fit in memory - Uri Yanover URL:https://cfp.pycon.org.il/conference2021/talk/9PELET/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-33JELR@cfp.pycon.org.il DTSTART;TZID=IST:20210502T113000 DTEND;TZID=IST:20210502T115500 DESCRIPTION:At Bluevine we use Airflow to drive our all "offline" processin g. In this talk\, I'll present the challenges and opportunities we had by transitioning from servers running Python scripts with cron to a full blow n Airflow setup. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:Hello Airflow\, farewell Cron jobs - Noam Elfanbaum URL:https://cfp.pycon.org.il/conference2021/talk/33JELR/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-ZCB8NV@cfp.pycon.org.il DTSTART;TZID=IST:20210502T133000 DTEND;TZID=IST:20210502T135500 DESCRIPTION:Loading python code from a remote location during runtime opens new world of opportunities (and challenges). DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Python code in an object store\, Go fast to production and don't br eak things - Or Ben-Zeev URL:https://cfp.pycon.org.il/conference2021/talk/ZCB8NV/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-TVYDJA@cfp.pycon.org.il DTSTART;TZID=IST:20210502T133000 DTEND;TZID=IST:20210502T135500 DESCRIPTION:In this talk\, you will learn how at Diagnostic Robotics we cre ate insights from claims data\, a form of administrative data at large sca le\, which provides a great opportunity for AI in healthcare. You will und erstand how we use medical code embeddings DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Harnessing Data to Improve Healthcare - Noa Lubin URL:https://cfp.pycon.org.il/conference2021/talk/TVYDJA/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-MVLDXA@cfp.pycon.org.il DTSTART;TZID=IST:20210502T133000 DTEND;TZID=IST:20210502T135500 DESCRIPTION:FastAPI is a modern\, high-performance\, batteries-included Pyt hon web framework that's perfect for building RESTful APIs. It can handle both synchronous and asynchronous requests DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:FastAPI: The most modern Python3 web framework - Chai Tadmor URL:https://cfp.pycon.org.il/conference2021/talk/MVLDXA/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-WG3HXJ@cfp.pycon.org.il DTSTART;TZID=IST:20210502T140000 DTEND;TZID=IST:20210502T142500 DESCRIPTION:Genomic sequencing and processing data amounts to many terabyte s of data. We'll present how single-cell processing pipe-line requires str ong/eventual consistency trade-offs which are different from traditional b ig-data systems. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Genomic data - cost-effective scaling in the cloud - Tal Franji URL:https://cfp.pycon.org.il/conference2021/talk/WG3HXJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-GWDAHX@cfp.pycon.org.il DTSTART;TZID=IST:20210502T140000 DTEND;TZID=IST:20210502T142500 DESCRIPTION:In Python\, we normally don't worry about memory usage. But tha t doesn't mean memory leaks are impossible! In this talk\, I'll introduce "weak references" -- how they work\, when you would use them\, and tricks to get the most out of them. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Avoiding memory leaks with "weakref" - Reuven Lerner URL:https://cfp.pycon.org.il/conference2021/talk/GWDAHX/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-BV3PDJ@cfp.pycon.org.il DTSTART;TZID=IST:20210502T140000 DTEND;TZID=IST:20210502T142500 DESCRIPTION:Google Earth Engine (GEE) is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. It en ables to analysis and visualizes changes on the Earth’s surface using py thon API\, DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:mapping and analysis of geospatial big data using geemap and Google Earth Engine - yaron Michl URL:https://cfp.pycon.org.il/conference2021/talk/BV3PDJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-JGQ83F@cfp.pycon.org.il DTSTART;TZID=IST:20210502T143000 DTEND;TZID=IST:20210502T145500 DESCRIPTION:In this talk we'll use a real-life use case to learn how extend ing GDB with Python can help us to solve bugs\, all while digging deep int o the internals of Python locks and how they're implemented. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:Lock and roll - Advanced locks debugging with GDB - Roee Drucker URL:https://cfp.pycon.org.il/conference2021/talk/JGQ83F/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-CZLEYQ@cfp.pycon.org.il DTSTART;TZID=IST:20210502T143000 DTEND;TZID=IST:20210502T145500 DESCRIPTION:Most programmers consider Python as a scripting or a server sid e language totally unsuitable for UI . In Imubit we decided to use Jupyter Lab in order to combine Python's powerful server side abilities with a be autiful UI. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Python’s Frontend - Not what you would think - Bat-El Ziony Sabati URL:https://cfp.pycon.org.il/conference2021/talk/CZLEYQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-SE3H7M@cfp.pycon.org.il DTSTART;TZID=IST:20210502T153000 DTEND;TZID=IST:20210502T155500 DESCRIPTION:In this talk\, I will cover shortly the theory of property-base d testing and then jump into use cases and live examples to demonstrate th e hypothesis library and how we used it to generate random examples of pla usible edge cases of our AI model. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Testing stochastic AI models with hypothesis - Marina Shvartz URL:https://cfp.pycon.org.il/conference2021/talk/SE3H7M/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-J7KQBY@cfp.pycon.org.il DTSTART;TZID=IST:20210502T153000 DTEND;TZID=IST:20210502T155500 DESCRIPTION:We introduce a very useful tool called "vmn" for auto increasin g your application's version number in an agnostic way to language or arch itecture. You will learn how to use vmn for your application and how to in tegrate it to existing CI/CD procedures DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Versioning 1.0.1 - Pavel Rogovoy\, Ron Shilo URL:https://cfp.pycon.org.il/conference2021/talk/J7KQBY/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-EWALKX@cfp.pycon.org.il DTSTART;TZID=IST:20210502T153000 DTEND;TZID=IST:20210502T155500 DESCRIPTION:In optimization problems speed is important\, but unfortunately python isn't optimized to speed. In this talk I'll show how to use python and optimize bottleneck functions to be as fast as possible using differe nt libraries and methods. DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:Python bottleneck optimization - progression from lists to cupy arr ays - Yair beer URL:https://cfp.pycon.org.il/conference2021/talk/EWALKX/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-VDCMGW@cfp.pycon.org.il DTSTART;TZID=IST:20210502T160000 DTEND;TZID=IST:20210502T164500 DESCRIPTION:The tutorial will introduce two interactive plots libraries: H oloViews\, and panel and show how those can be used to create static html files with interactive graphics DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Tutorial: Using Python HoloViz Technologies to Create Interactive P resentations - Jacob Barhak\, James A. Bednar URL:https://cfp.pycon.org.il/conference2021/talk/VDCMGW/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-MDPMJT@cfp.pycon.org.il DTSTART;TZID=IST:20210502T160000 DTEND;TZID=IST:20210502T162500 DESCRIPTION:The time has come for almost every Python developer to build ne w applications following the serverless paradigm. This talk is 300 level d escribing the most important principles of serverless application architec ture. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Serverless Python - Nikolay Grishchenko URL:https://cfp.pycon.org.il/conference2021/talk/MDPMJT/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-L73ENY@cfp.pycon.org.il DTSTART;TZID=IST:20210502T160000 DTEND;TZID=IST:20210502T162500 DESCRIPTION:Handling high cardinality with big data can be challenging. We improved our pipeline speed and stability by understanding which data matt ers more and creating a smart “Cardinality Protector” to reduce cardin ality with minimal effect on the data. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:Cutting the Right Corners: Handling High Cardinality by Understandi ng Your Data - Asaf Sarid URL:https://cfp.pycon.org.il/conference2021/talk/L73ENY/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-NQYDJZ@cfp.pycon.org.il DTSTART;TZID=IST:20210503T100000 DTEND;TZID=IST:20210503T102500 DESCRIPTION:Python's warnings are exceptions — but they're also distinct from exceptions\, and are both used and trapped differently. In this talk\ , I'll introduce warnings\, how to raise\, trap\, and redirect them\, and show you best practices for their use. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:When is an exception not an exception? Using warnings in Python - R euven Lerner URL:https://cfp.pycon.org.il/conference2021/talk/NQYDJZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-A7AV8Z@cfp.pycon.org.il DTSTART;TZID=IST:20210503T100000 DTEND;TZID=IST:20210503T102500 DESCRIPTION:An inside look at some of the tools inside Sanic to help build a background task manager. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:Liberate your API: Building a task manager inside Sanic - Adam Hopk ins URL:https://cfp.pycon.org.il/conference2021/talk/A7AV8Z/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-3B9NCX@cfp.pycon.org.il DTSTART;TZID=IST:20210503T100000 DTEND;TZID=IST:20210503T102500 DESCRIPTION:This talk introduces PyTorch Lightning\, outline its core desig n philosophy\, and provides inline examples of how this philosophy enables more reproducible and production-capable deep learning code. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Deep Learning\, Minus the Boilerplate with PyTorch Lightning - Ari Bornstein URL:https://cfp.pycon.org.il/conference2021/talk/3B9NCX/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-VHSVWY@cfp.pycon.org.il DTSTART;TZID=IST:20210503T103000 DTEND;TZID=IST:20210503T105500 DESCRIPTION:I’ll discuss an interpretation framework that allows use of t he features’ distribution to understand the direction of the feature’s impact. The concept is derived from ideas formulated in Pearl’s analysi s of causality in his book “the book of why”. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Model-Agnostic Interpretation - Beyond Shap and Lime - Nathalie Hau ser URL:https://cfp.pycon.org.il/conference2021/talk/VHSVWY/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-JQAHJP@cfp.pycon.org.il DTSTART;TZID=IST:20210503T103000 DTEND;TZID=IST:20210503T105500 DESCRIPTION:This session will focus on one of the hottest topics of the pas t two years in the data science ecosystem - *Automated Exploratory Data An alysis*. DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:Set your EDA on Autopilot - Nir Barazida URL:https://cfp.pycon.org.il/conference2021/talk/JQAHJP/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-A9CFRM@cfp.pycon.org.il DTSTART;TZID=IST:20210503T103000 DTEND;TZID=IST:20210503T105500 DESCRIPTION:When we first developed our system\, we picked Celery due to it s wide community adoption. When we started scaling our systems\, we realiz ed Celery was pulling us back from many different angles. We decided to re place Celery with our own technology. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Leaving Celery in the Dust: How to truly scale in production - Gal Ben David URL:https://cfp.pycon.org.il/conference2021/talk/A9CFRM/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-UVBJQH@cfp.pycon.org.il DTSTART;TZID=IST:20210503T110000 DTEND;TZID=IST:20210503T112500 DESCRIPTION:Join this session to hear about my journey with tree-based clas sifiers\, while tackling the problem of classifying songs into different g enres. Learn how XGBoost works and what makes it so popular. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Fun With Trees! Get to the Root of Song Classification - Yama Anin Aminof URL:https://cfp.pycon.org.il/conference2021/talk/UVBJQH/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-MMCHRJ@cfp.pycon.org.il DTSTART;TZID=IST:20210503T110000 DTEND;TZID=IST:20210503T112500 DESCRIPTION:When is it the right time to implement security when building a n app? In this talk\, you will learn how to build from scratch a secure Py thon application hosted in the cloud\, the major attack vectors and tools you need to remediate to the main risks. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Building a Secure Python Cloud Application from scratch - David Mel amed URL:https://cfp.pycon.org.il/conference2021/talk/MMCHRJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-FKAAJA@cfp.pycon.org.il DTSTART;TZID=IST:20210503T110000 DTEND;TZID=IST:20210503T112500 DESCRIPTION:An introduction to Geographic Data\, some of its basic concepts and common Python tools for working with it. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:Geographic Data - an Introductory Tale - Adam Kariv URL:https://cfp.pycon.org.il/conference2021/talk/FKAAJA/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-Z3YRWY@cfp.pycon.org.il DTSTART;TZID=IST:20210503T113000 DTEND;TZID=IST:20210503T115500 DESCRIPTION:While many developers struggle with the question\, “should or shouldn’t I use python annotations?”. I would demonstrate how proper usage of python annotations guide the developers to refine the structure o f the written code. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Cleaner SW architecture using python annotations - Yehuda Levian URL:https://cfp.pycon.org.il/conference2021/talk/Z3YRWY/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-BGYVKQ@cfp.pycon.org.il DTSTART;TZID=IST:20210503T113000 DTEND;TZID=IST:20210503T115500 DESCRIPTION:Topic Modeling’s objective is to understand and extract the h idden topics from large volumes of text. Using a technique based on Senten ce-BERT\, we were able to perform the extraction of meaningful topics\, an d present some evaluation approaches. DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:What’s Everyone Talking About? Discovering Topics with Sentence-B ERT - Stav Shemesh URL:https://cfp.pycon.org.il/conference2021/talk/BGYVKQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-JVMU7W@cfp.pycon.org.il DTSTART;TZID=IST:20210503T113000 DTEND;TZID=IST:20210503T121500 DESCRIPTION:Most data scientists are focused on predictive (aka supervised) projects\, yet the real growth is usually in the estimation of action eff ects and optimizations of action policies. To this end\, I will present ca usal inference and related packages. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Causality in Python - Hanan Shteingart URL:https://cfp.pycon.org.il/conference2021/talk/JVMU7W/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-WETCLD@cfp.pycon.org.il DTSTART;TZID=IST:20210503T133000 DTEND;TZID=IST:20210503T135500 DESCRIPTION:Programming requires a logical mindset\, which can be used to i ntroduce strategy into your daily life. Join me\, as we review pythonic be st practices\, constructs and concepts and see how to take advantage of th em both at and away from the keyboard. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Be a Pythonista: Coding and Life Lessons Learned from Python - Hoda ya Stern URL:https://cfp.pycon.org.il/conference2021/talk/WETCLD/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-KYXN9N@cfp.pycon.org.il DTSTART;TZID=IST:20210503T133000 DTEND;TZID=IST:20210503T135500 DESCRIPTION:We all heard about huge transformers that cost millions of doll ars to train\, and achieve amazing results. But is there still room for th e little guy\, with a single GPU and a small budget to innovate in NLP ?\n Well\, have you heard about grounding ? DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Natural language grounding - the next frontier - Uri Goren URL:https://cfp.pycon.org.il/conference2021/talk/KYXN9N/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-D9FEYX@cfp.pycon.org.il DTSTART;TZID=IST:20210503T133000 DTEND;TZID=IST:20210503T135500 DESCRIPTION:I'll present a tiered approach that allows testing microservice s quickly and thoroughly. The tests use stateful mocks of other services\, and thus allow concise tests as well as simulating outages\, subtle timin g problems and large datasets. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:How to Test Microservices - Lior Segev URL:https://cfp.pycon.org.il/conference2021/talk/D9FEYX/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-NT3P8T@cfp.pycon.org.il DTSTART;TZID=IST:20210503T140000 DTEND;TZID=IST:20210503T142500 DESCRIPTION:Text analysis in real life can often yield unsatisfactory resul ts due to typos\, alternate phrasing\, abbreviations and more. In this tal k\, we'll cover practical and efficient string comparison methods\, as wel l as tackle some commonly faced issues. DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:String Comparison In Real Life - Challenges and Various Ways to Res olve Them - Naomi Kriger URL:https://cfp.pycon.org.il/conference2021/talk/NT3P8T/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-USMSXH@cfp.pycon.org.il DTSTART;TZID=IST:20210503T140000 DTEND;TZID=IST:20210503T142500 DESCRIPTION:Label distribution shift is a significant ‘unknown' our model s might encounter when facing the real world once they are deployed. In th is talk I will provide practical approaches to assist our models to be mor e robust to such 'unknowns'. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Prepare for the Unknown - Adjust Your Model to Label Distribution S hifts - Nofar Betzalel URL:https://cfp.pycon.org.il/conference2021/talk/USMSXH/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-HGZNAY@cfp.pycon.org.il DTSTART;TZID=IST:20210503T140000 DTEND;TZID=IST:20210503T142500 DESCRIPTION:Implementing a Flask realtime web application for production is n’t as easy as it seems.\nLearn how to use Redis Pub/Sub\, Ngnix\, uWSGI \, signaling\, unix socket\, mule process\, socket.io and more to create a robust realtime app. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:WebSockets and Flask for the real world - Yael Green URL:https://cfp.pycon.org.il/conference2021/talk/HGZNAY/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-ZFRN8Y@cfp.pycon.org.il DTSTART;TZID=IST:20210503T143000 DTEND;TZID=IST:20210503T145500 DESCRIPTION:CI/CD is critical for rapid software development\, requiring ad vanced monitoring and logging infrastructure. We will present our PyTest i ntegration with Elasticsearch\, leading to significant debug reduction tim e and infra/product health improvements. DTSTAMP:20260516T150651Z LOCATION:General Track 2 SUMMARY:Novel approach of collecting and analyzing data from PyTest with El asticsearch - Noy Nakash\, Avi Naftalis URL:https://cfp.pycon.org.il/conference2021/talk/ZFRN8Y/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-SM9WFK@cfp.pycon.org.il DTSTART;TZID=IST:20210503T143000 DTEND;TZID=IST:20210503T145500 DESCRIPTION:In recent year Mypy gained wide spread adoption\, and as it con tinues to improve and evolve\, more and more useful features are being add ed.\n\nIn this talk I'll preset some gems in the type system you can use t o make your code better and safer! DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Practical Advice for Using Mypy - Haki Benita URL:https://cfp.pycon.org.il/conference2021/talk/SM9WFK/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-A7SVUX@cfp.pycon.org.il DTSTART;TZID=IST:20210503T143000 DTEND;TZID=IST:20210503T145500 DESCRIPTION:Neural networks don’t have to be black boxes\, if you use cre ative designs and match the architecture to your specific needs\, you can create a network as interpretable as linear regression\, but without its l inear constraints. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Opening the black box – an interpretable neural network architect ure - Oren Matar URL:https://cfp.pycon.org.il/conference2021/talk/A7SVUX/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-UPUHBZ@cfp.pycon.org.il DTSTART;TZID=IST:20210503T153000 DTEND;TZID=IST:20210503T155500 DESCRIPTION:This talk might give you what you need to secure your python ap plication from OWASP top 10 vulnerabilities. We’ll look at examples\, to ols and quick tips for a more robust code base. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:OWASP Top 10 in 20: Application Security for the average Pythonista - Ronnie Sheer URL:https://cfp.pycon.org.il/conference2021/talk/UPUHBZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-KQNXWG@cfp.pycon.org.il DTSTART;TZID=IST:20210503T153000 DTEND;TZID=IST:20210503T155500 DESCRIPTION:Test sets are often designed to have a specific composition of cases\, with constraints applied to each sub-population. Treating test-set curation as an optimization problem could save precious time and transiti on us towards a "data as code" paradigm. DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:Automatic Curation of Test sets - Jonathan Laserson URL:https://cfp.pycon.org.il/conference2021/talk/KQNXWG/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-CS78M8@cfp.pycon.org.il DTSTART;TZID=IST:20210503T153000 DTEND;TZID=IST:20210503T155500 DESCRIPTION:AutoML is a python driven tool we built in Outbrain Recommendat ions group. In this talk we'll share motivation for creating this tool\, d escribe the general architecture and do a live short demo. DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:Enabling Super Fast DS Research using AutoML - Assaf Klein\, Hila W eisman-Zohar URL:https://cfp.pycon.org.il/conference2021/talk/CS78M8/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-VKPEP3@cfp.pycon.org.il DTSTART;TZID=IST:20210503T160000 DTEND;TZID=IST:20210503T162500 DESCRIPTION:This talk will describe the monorepo codebase architecture\, ex plain why you might want to use it for your Python code\, and what kind of tooling you need to work effectively in it. DTSTAMP:20260516T150651Z LOCATION:General Track 1 SUMMARY:Python monorepos: what\, why and how - Benjy Weinberger URL:https://cfp.pycon.org.il/conference2021/talk/VKPEP3/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-DSB3HM@cfp.pycon.org.il DTSTART;TZID=IST:20210503T160000 DTEND;TZID=IST:20210503T164500 DESCRIPTION:Python can do so much\, including using python to change python behavior. In this talk\, we will see how we can hook over any function in order to create an online “helper” in the style of Clippy for the old Office software. This can be useful for refe DTSTAMP:20260516T150651Z LOCATION:PyData Track 1 SUMMARY:"Clippy" for Python - Let's build a real-time code companion by hoo king over any function. - Dean Langsam URL:https://cfp.pycon.org.il/conference2021/talk/DSB3HM/ END:VEVENT BEGIN:VEVENT UID:pretalx-conference2021-C9WXDC@cfp.pycon.org.il DTSTART;TZID=IST:20210503T160000 DTEND;TZID=IST:20210503T162500 DESCRIPTION:Immunai has built one of the largest centralized immune single- cell data assets in the world and is using AI with it to expand the bounda ry of our understanding of core immune biology and how it translates to th e clinical setting. DTSTAMP:20260516T150651Z LOCATION:PyData Track 2 SUMMARY:Reprogramming immunity with AI and single-cell multiomics - Drausin Wulsin URL:https://cfp.pycon.org.il/conference2021/talk/C9WXDC/ END:VEVENT END:VCALENDAR