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Clojure/conj 2017 calendar
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| BEGIN:VCALENDAR | |
| METHOD:PUBLISH | |
| VERSION:2.0 | |
| X-WR-CALNAME:Clojure/conj 2017 | |
| PRODID:-//Apple Inc.//Mac OS X 10.13//EN | |
| X-APPLE-CALENDAR-COLOR:#CC73E1 | |
| X-WR-TIMEZONE:America/Los_Angeles | |
| CALSCALE:GREGORIAN | |
| BEGIN:VTIMEZONE | |
| TZID:America/New_York | |
| BEGIN:DAYLIGHT | |
| TZOFFSETFROM:-0500 | |
| RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU | |
| DTSTART:20070311T020000 | |
| TZNAME:EDT | |
| TZOFFSETTO:-0400 | |
| END:DAYLIGHT | |
| BEGIN:STANDARD | |
| TZOFFSETFROM:-0400 | |
| RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU | |
| DTSTART:20071104T020000 | |
| TZNAME:EST | |
| TZOFFSETTO:-0500 | |
| END:STANDARD | |
| END:VTIMEZONE | |
| BEGIN:VEVENT | |
| CREATED:20171008T204249Z | |
| UID:9F8EC72F-C32F-4E8C-91F5-8EB918E80299 | |
| DTEND;TZID=America/New_York:20171011T223000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Welcome Party & Board Games | |
| DTSTART;TZID=America/New_York:20171011T193000 | |
| DTSTAMP:20171008T204319Z | |
| LOCATION:Holiday 4 & 5 | |
| SEQUENCE:0 | |
| URL;VALUE=URI:https://github.com/clojureconj/clojureconj2017/wiki/Board- | |
| Game-Night | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| BEGIN:VEVENT | |
| CREATED:20171008T204326Z | |
| UID:F4555494-4EA5-41B8-AA3D-231491307E14 | |
| DTEND;TZID=America/New_York:20171012T091000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Welcome | |
| DTSTART;TZID=America/New_York:20171012T090000 | |
| DTSTAMP:20171008T204504Z | |
| SEQUENCE:0 | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T101000 | |
| UID:51D2351E-36BA-4CB0-A4E4-394E237C276B | |
| DTSTAMP:20171008T204433Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:Rich Hickey\, the author of Clojure and designer of Datomic\ | |
| , is a software developer with over 20 years of experience in various do | |
| mains. Rich has worked on scheduling systems\, broadcast automation\, au | |
| dio analysis and fingerprinting\, database design\, yield management\, e | |
| xit poll systems\, and machine listening\, in a variety of languages. | |
| URL;VALUE=URI:http://2017.clojure-conj.org/rich-hickey/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Keynote - Rich Hickey | |
| DTSTART;TZID=America/New_York:20171012T091000 | |
| CREATED:20171008T204339Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T110000 | |
| UID:A887C3EC-029B-40BB-84F8-6BA601387F34 | |
| DTSTAMP:20171008T204608Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:The first editor for Lisp turns 50 years old this year-a tel | |
| etype editor that sported crude operations for navigating\, restructurin | |
| g and printing expressions.\n\nToday\, a majority of Clojure users emplo | |
| y an emacs setup that has more or less existed since the 80s. But there | |
| is an interesting history of innovations around Lisp editing that has la | |
| rgely been forgotten.\n\nWe will highlight the most interesting innovati | |
| ons from our research of this 50 year history\, so that we may aspire to | |
| continue the search for better Lisp editing experiences.\n\nWe will als | |
| o postulate why these interesting innovations never took hold\, and how | |
| these reasons have inspired an ongoing experimental but practical plugin | |
| for Atom called Locus\, that works in concert with Parinfer to make Clo | |
| jure not only dead-simple to write\, but immediately pleasant to read. | |
| URL;VALUE=URI:http://2017.clojure-conj.org/inspiring-a-future/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Inspiring a Future Clojure Editor with Forgotten Lisp UX - Shaun | |
| Lebron | |
| DTSTART;TZID=America/New_York:20171012T102000 | |
| CREATED:20171008T204512Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T115000 | |
| UID:7B30345B-A826-4792-8562-BB3651251305 | |
| DTSTAMP:20171008T204658Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:Once upon a time there were people who worked on a thing.. b | |
| ut they did in in separate rooms\, with different tools and they spoke d | |
| ifferent languages and thought they used different brain hemispheres. On | |
| e group called the other smart and the other group called the other crea | |
| tive.. and sometimes they called themselves these different things. Afte | |
| r many years of their passing back and forth their work and much confusi | |
| on about what they were building they developed technology and processes | |
| that helped them work together in a more integrated fashion. Eventually | |
| they moved into the same rooms\, used some of the same tools and even l | |
| earned to speak the same language! They even started to think less about | |
| their brain hemispheres and gained a clearer picture of what they were | |
| trying to build! Yes\, today designers and developers are working togeth | |
| er in Clojure in ways that are really effective and fun! Let’s go back i | |
| n time and look at where we’ve been with all the crazy broken things we’ | |
| ve endured\, explored. Then arrive back to the here and now with full-st | |
| ack Clojure where people party and profit.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/designing-in-clojure/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Designing in Clojure - an experience report – Michael Parenteau | |
| DTSTART;TZID=America/New_York:20171012T111000 | |
| CREATED:20171008T204614Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| CREATED:20171008T204706Z | |
| UID:275932D6-E734-45F6-8CDB-D63471631004 | |
| DTEND;TZID=America/New_York:20171012T132000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Lunch (not provided) | |
| DTSTART;TZID=America/New_York:20171012T115000 | |
| DTSTAMP:20171008T204729Z | |
| SEQUENCE:0 | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T140000 | |
| UID:08F2D410-0A77-41C4-9658-F098EE115F3E | |
| DTSTAMP:20171008T204845Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:What do Clojure\, Prolog\, TCL\, machine code\, and XSLT hav | |
| e in common? It’s a computer science-y word that sounds cool\, but do yo | |
| u know what “homoiconicity” really means? It’s not just about S-expressi | |
| ons\, and S-expressions aren’t just about macros! This talk will dive in | |
| to the history of the term\, going all the way back to 19th-century phil | |
| osophy\, then explore some of its practical benefits for Clojure program | |
| mers.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/homoiconicity/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Homoiconicity: It Is What It Is – Stuart Sierra | |
| DTSTART;TZID=America/New_York:20171012T132000 | |
| CREATED:20171008T204748Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T140000 | |
| UID:C07EB99E-13F5-4F44-96A3-81A745DC2235 | |
| DTSTAMP:20171008T204821Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:The best way to learn programming is to build something. I l | |
| earned Clojure by building various programs around the two player Gin Ru | |
| mmy card game. This talks shows usages and features of Clojure as I disc | |
| overed and applied them over the years. Starting from functions and data | |
| to model the game\, to Java interop to create a robot and from ClojureS | |
| cript for a web site version to Datomic as a back-end for playing over a | |
| network. As well as my current project of trying to build another AI to | |
| play the game.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/learning-clojure-and-clojures | |
| cript/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Learning Clojure and ClojureScript by playing a card game – Gijs | |
| Stuurman | |
| DTSTART;TZID=America/New_York:20171012T132000 | |
| CREATED:20171008T204821Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| END:VEVENT | |
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| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T145000 | |
| UID:E7D2EA6B-54CC-4EC7-A6F7-F0E7CDDD95A6 | |
| DTSTAMP:20171008T205433Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:A research team of statisticians and neuroscientists at Duke | |
| University are using Clojure to analyze how neural codes in the brain e | |
| ncode information from two simultaneous sources. It is hypothesized that | |
| neurons may interleave signals through a process commonly used in telec | |
| ommunications known as multiplexing. We have formulated a Bayesian model | |
| which addresses such a hypothesis and performed inference via Markov ch | |
| ain Monte Carlo in Clojure. We have found evidence of such multiplexing | |
| behaviour and have found Clojure to be well suited to performing Bayesia | |
| n data analysis.\n\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/bayesian-data-analysis/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Bayesian Data Analysis of Nonparametric Models in Clojure – Mich | |
| ael Lindon | |
| DTSTART;TZID=America/New_York:20171012T141000 | |
| CREATED:20171008T204859Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T145000 | |
| UID:0978AAF3-A78F-4DFB-A2C7-9137FFC7853D | |
| DTSTAMP:20171008T204936Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:Are you tired of forgetting which keys go in which maps? Are | |
| your data transformation pipelines reaching trans-continental proportio | |
| ns? A smidgen of high school algebra may go a long way to eliminating yo | |
| ur deeply nested headaches. In this talk\, we will explore several funct | |
| ional programming concepts and techniques\, lifted right out of high sch | |
| ool algebra\, that can deepen your functional programming skills and get | |
| you slicing your problems along new dimensions.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/all-i-needed-for-fp/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:All I needed for FP I learned in High School Algebra – Eric Norm | |
| and | |
| DTSTART;TZID=America/New_York:20171012T141000 | |
| CREATED:20171008T204936Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
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| END:VEVENT | |
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| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T154000 | |
| UID:0C300E6F-8DE2-4044-81E9-3DDD09628F34 | |
| DTSTAMP:20171008T205106Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:What would it be like to learn Clojure as the first programm | |
| ing language? Many of us will never know\, but this talk might be a clos | |
| e substitute. It is a report of running a new Clojure programming course | |
| integrated into the Liberal Arts curriculum. Deep inside rural Japan\, | |
| in the 2017 Spring semester\, fourteen students finished the course\, th | |
| erefore it will be offered again next winter. Interestingly\, closely ob | |
| serving the students’ struggle for understanding the language reorganize | |
| s the instructor’s thinking about programming as well.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/poetry-of-programming/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Poetry of Programming – Attila Egri-Nagy | |
| DTSTART;TZID=America/New_York:20171012T150000 | |
| CREATED:20171008T205006Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T154000 | |
| UID:A3323124-8816-4BCC-8AFA-08F55FA3BD69 | |
| DTSTAMP:20171008T205037Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:While functional programming continues to rise in popularity | |
| \, the machine learning and data science communities have been slow to a | |
| dopt its practices. As a result\, we at ThinkTopic have developed Cortex | |
| \, an open-source Clojure library built for machine learning. With the i | |
| ntroduction of Cortex\, it is now easier than ever to build AI in a func | |
| tional manner. This talk will cover the basics of machine learning\, the | |
| rationale behind using Clojure\, and a tutorial on building a classific | |
| ation model in Cortex.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/building-machine-learning/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Building Machine Learning Models with Clojure and Cortex – Joyce | |
| Xu | |
| DTSTART;TZID=America/New_York:20171012T150000 | |
| CREATED:20171008T205037Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
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| BEGIN:VEVENT | |
| CREATED:20171008T205116Z | |
| UID:6F9E6A4A-423B-4401-A80D-A61A7DD1188B | |
| DTEND;TZID=America/New_York:20171012T161000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Break | |
| DTSTART;TZID=America/New_York:20171012T154000 | |
| DTSTAMP:20171008T205130Z | |
| SEQUENCE:0 | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
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| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T165000 | |
| UID:2B7C0856-8D82-4D4B-BB8A-E54DEC0A39A3 | |
| DTSTAMP:20171008T205246Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:Clojure is a practical language for pragmatic people.\n\nI a | |
| m not a language designer\, nor a framework developer\, I’m only an occa | |
| sional open source contributor\, and truth be told I’m not even a very g | |
| ood functional programmer. I’m still shaking some perfectly reasonable p | |
| ast-life object-oriented habits\, and I’m a recidivist Java developer.\n | |
| \nI am however\, a stone cold delivery machine for my clients.\n\nEarlie | |
| r this year I built a high availability\, real-time system that processe | |
| s billions of events a day. Plenty about that is hard\; distributed syst | |
| ems\; operational requirements\; learning curves\; late nights.\n\nCome | |
| and learn how Clojure made the rest easy\, and why I would have failed i | |
| f I had attempted it in Java\, my language of habit. This is a talk for | |
| Java developers who want to understand how data-first can be superior to | |
| object-oriented and to give you the oomph to stop caring and give it a | |
| go. | |
| URL;VALUE=URI:http://2017.clojure-conj.org/clojure-scaling-the-event-str | |
| eam/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Clojure: Scaling the Event Stream – Derek Troy-West | |
| DTSTART;TZID=America/New_York:20171012T161000 | |
| CREATED:20171008T205131Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T165000 | |
| UID:A68A9453-4074-4D67-A129-9CAEC31F036A | |
| DTSTAMP:20171008T205214Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:test.check is a property-based testing library\, used standa | |
| lone and also as an integral part of clojure.spec. Composing and customi | |
| zing generators can be the most challenging part of using test.check\, b | |
| ut it is also critical to effective use. This talk will give practical e | |
| xamples of basic and complex generators\, highlighting common patterns a | |
| nd pitfalls.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/building-test-check-generator | |
| s/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Building test.check Generators – Gary Fredericks | |
| DTSTART;TZID=America/New_York:20171012T161000 | |
| CREATED:20171008T205214Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
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| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171012T174000 | |
| UID:12915CB7-7F8A-4BDD-A637-8BE750889D79 | |
| DTSTAMP:20171008T205337Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:Clojure devs are increasingly being called upon to deliver c | |
| loud-native applications on AWS. What if you could press a button and st | |
| art Datomic running on AWS? Datomic that:\n\n– lets you retain operation | |
| al control and security without taking on a large operational burden\,\n | |
| – is inexpensive to run\, with hourly billing akin to EC2 and other AWS | |
| services\,\n– deeply integrates with AWS services to deliver the flexibi | |
| lity\, monitoring and elasticity you seek from the cloud.\n\nIn this tal | |
| k\, we’ll explore the work we’ve been doing to wed the information model | |
| and core simplicity of the Datomic architecture with a set of resource | |
| decisions\, best practices\, and automation to make Datomic the simple * | |
| and easy* database for Clojure developers who want to leverage AWS. | |
| URL;VALUE=URI:http://2017.clojure-conj.org/datomic-in-cloud/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Datomic Made Easy: Datomic in the Cloud – Stuart Halloway | |
| DTSTART;TZID=America/New_York:20171012T170000 | |
| CREATED:20171008T205256Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| CREATED:20171008T205341Z | |
| UID:D845F747-8E7E-4287-B563-7B9353F7AA3C | |
| DTEND;TZID=America/New_York:20171012T223000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Unsessions | |
| DTSTART;TZID=America/New_York:20171012T193000 | |
| DTSTAMP:20171008T205416Z | |
| LOCATION:Holiday 4 & 5 | |
| SEQUENCE:0 | |
| URL;VALUE=URI:https://github.com/clojureconj/clojureconj2017/wiki/Unsess | |
| ions | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
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| BEGIN:VEVENT | |
| CREATED:20171008T205456Z | |
| UID:EDCAC045-431A-4078-ADDE-F35EEF814F82 | |
| DTEND;TZID=America/New_York:20171013T091000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Announcements | |
| DTSTART;TZID=America/New_York:20171013T090000 | |
| DTSTAMP:20171008T205507Z | |
| LOCATION:Holiday 4 & 5 | |
| SEQUENCE:0 | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T095000 | |
| UID:6D70AFA8-3B1D-4751-A782-CE5E29A563BD | |
| DTSTAMP:20171008T205546Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:ClojureScript has put immense focus on building bridges to t | |
| he current JavaScript ecosystem in 2017. Stemming from the work started | |
| in the 2015 Google Summer of Code project\, ClojureScript is not only aw | |
| are of popular JavaScript module formats\, but can now integrate seamles | |
| sly with popular package managers that host them.\n\nThis pushes Clojure | |
| Script’s interoperability with the host even further\, at last enabling | |
| sophisticated optimizations such as dead-code elimination and cross-modu | |
| le code motion across JavaScript sources. What’s more\, it allows curren | |
| t ClojureScript libraries to adopt this newly introduced support in a wa | |
| y that guarantees a backwards compatible transition path from the previo | |
| us foreign integration model.\n\nCode splitting support for ClojureScrip | |
| t applications has also been revamped\, with added first class support\, | |
| which accounts for great improvements in developer experience by lettin | |
| g the ClojureScript compiler perform the hard work of computing the spli | |
| t points across namespaces.\n\nThis talk is an insider’s perspective on | |
| why these new features are a stepping stone in ClojureScript’s history\, | |
| and how teams can fully utilize ClojureScript’s pragmatic approach to s | |
| implicity to build advanced applications by leveraging a project that is | |
| arguably ahead of most JavaScript tooling and best practices.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/2017-in-clojurescript/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:2017 in ClojureScript: Web Perf & JS Ecosystem Integration – Ant | |
| ónio Monteiro | |
| DTSTART;TZID=America/New_York:20171013T091000 | |
| CREATED:20171008T205511Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| CREATED:20171008T205643Z | |
| UID:8CF5D2D2-F91E-44C4-9FDE-5761E8324BCF | |
| URL;VALUE=URI: | |
| DTEND;TZID=America/New_York:20171013T130000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Lunch (not provided) | |
| DTSTART;TZID=America/New_York:20171013T113000 | |
| DTSTAMP:20171008T205928Z | |
| SEQUENCE:0 | |
| DESCRIPTION: | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T104000 | |
| UID:2B74679C-83CF-4ABF-B86E-08DEA6406DB7 | |
| DTSTAMP:20171008T205719Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:This talk will discuss tools.decompiler\, a new library prod | |
| ucing readable clojure code starting from plain old JVM bytecode. We’ll | |
| go over the design and implementation of the library\, discussing the ch | |
| allenges faced along the way\, including the different techniques used t | |
| o parse and reverse engineer bytecode\, implement macrocompaction\, and | |
| work around Hotspost and Clojure bugs. Finally\, we’ll show how this lib | |
| rary can be used by tools to help users undertand cryptic stacktraces.\n | |
| \n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/clojure-compilation-backwards | |
| / | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Clojure Compilation\, Backwards – Nicola Mometto | |
| DTSTART;TZID=America/New_York:20171013T100000 | |
| CREATED:20171008T205719Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T104000 | |
| UID:3FDA3823-4D34-4DB1-A542-248630891EED | |
| DTSTAMP:20171008T205751Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:Lacinia is Walmartlabs’ implementation of Facebook’s GraphQL | |
| on Clojure. It supports the full GraphQL spec\, a high-performance pars | |
| er for GraphQL queries built on Antlr4\, and efficient and asynchronous | |
| query execution.\n\nHystrix is Netflix’ circuit-breaker implementation. | |
| It is a Java library that helps you control the interactions between dis | |
| tributed services by adding latency tolerance and fault tolerance logic. | |
| \n\nBy combining Lacinia’s resolvers and Hystrix’ highly performant thre | |
| ad-pool and fallback options you can achieve increased performance while | |
| also improving your system’s overall resiliency.\n\nIn this talk\, we w | |
| ill explore the power of these two libraries together.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/the-power-of-lacinia-hystrix/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:The Power of Lacinia & Hystrix in Production – Tiago Luchini | |
| DTSTART;TZID=America/New_York:20171013T100000 | |
| CREATED:20171008T205751Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| CREATED:20171008T205827Z | |
| UID:703731C6-DE0E-4834-AA78-E911CC380720 | |
| URL;VALUE=URI: | |
| DTEND;TZID=America/New_York:20171013T152000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Break | |
| DTSTART;TZID=America/New_York:20171013T145000 | |
| DTSTAMP:20171008T210236Z | |
| SEQUENCE:0 | |
| DESCRIPTION: | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T113000 | |
| UID:4FC29EB5-6FBB-49FF-A99B-C869339A9223 | |
| DTSTAMP:20171008T205852Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:When humanity is inevitably subjugated by intelligent machin | |
| es\, which language will power the minds of our cruel overlords? Clojure | |
| \, I hope. One of the more popular tools for machine learning today is G | |
| oogle’s Tensorflow library. Earlier this year\, Google made it possible | |
| for any language to leverage Tensorflow’s plumbing via a C API. Guildsma | |
| n is a library that brings the power of Tensorflow to Clojure. This talk | |
| will cover machine learning and Tensorflow\, as well as the design and | |
| usage of Guildsman.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/the-tensors-must-flow/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:The Tensors Must Flow – William Piel | |
| DTSTART;TZID=America/New_York:20171013T105000 | |
| CREATED:20171008T205852Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T160000 | |
| UID:75426DC2-8344-44CC-B1C5-7E7C9CD96044 | |
| DTSTAMP:20171008T210305Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:The poet T.S. Eliot believed in the “objective correlative”: | |
| the use of a sequence of symbols to evoke an emotion in the reader. Sin | |
| ce programs are also sequences of symbols\, we can think of poems as emo | |
| tive programs! In this talk\, we’ll use Eliot’s understanding of the obj | |
| ective correlative as a lens to explore the intersection of Clojure and | |
| poetry. In the process\, we’ll write poems that are executable programs | |
| and write Clojure programs that generate poems. You’ll come away with a | |
| better understanding of the flexibility and grace of Clojure as a langua | |
| ge\, as well as a newfound appreciation for modern poetry.\n\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/infinite-state-machine/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Infinite State Machine: Poetry in\, with\, and by Clojure – Eric | |
| Weinstein | |
| DTSTART;TZID=America/New_York:20171013T152000 | |
| CREATED:20171008T210023Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T134000 | |
| UID:FF5F3B54-31B4-41B7-8474-1D1E7DAE78DC | |
| DTSTAMP:20171008T210058Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:The Lisp 1.5 manual\, written by John McCarthy et al in 1961 | |
| \, contained in less than one page the compact yet amazing definition of | |
| the Lisp programming language using Lisp itself. This meta-circular acc | |
| ount was referred as the “Maxwell’s Equations of Software” by Alan Kay. | |
| In a similar fashion\, Paul Graham stated that this insight did to progr | |
| amming something like what Euclid did for geometry. In essence\, the sai | |
| d definition demonstrated that it is possible to build an entire program | |
| ming language using only a notation for functions and a handful of simpl | |
| e operators. In this talk\, I will use Clojure to show how to build an i | |
| nterpreter that mimics Lisp in its very initial stages. As in the origin | |
| al documentation\, the interpreter will consist of two main and highly i | |
| ntermixed functions: eval and apply. The central objective of this prese | |
| ntation is to provide attendees some highlights on the origins of Lisp a | |
| nd how its design ideas are central to Clojure and other programming lan | |
| guages.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/the-dawn-of-lisp/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:The Dawn of Lisp\, or: How to Write Eval and Apply in Clojure – | |
| Ariel Ortiz | |
| DTSTART;TZID=America/New_York:20171013T130000 | |
| CREATED:20171008T210058Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T134000 | |
| UID:49DA9064-1C22-409C-9E35-535441D4BC10 | |
| DTSTAMP:20171008T210131Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:While Datomic is well known as a database that manages entit | |
| ies with flexible structures\, the attributes of those structures must b | |
| e declared in a predefined schema before Datomic can load any data. This | |
| can be awkward when working with common arbitrary data structures\, lik | |
| e JSON\, since the schema may not be known ahead of time. This talk look | |
| s at how to import and export arbitrary JSON into Datomic\, using straig | |
| htforward\, auto-generated schemas that do not lose any information\, ev | |
| en when the JSON does not seem to be a simple fit. We also show how Dato | |
| mic features can be used to collate multiple interspersed read and write | |
| operations into a single Datomic transaction.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/datomic-auto-schemas/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Datomic Auto Schemas – Paula Gearon | |
| DTSTART;TZID=America/New_York:20171013T130000 | |
| CREATED:20171008T210131Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T145000 | |
| UID:621A7893-1D3A-42BF-845F-4427A28862A0 | |
| DTSTAMP:20171008T210216Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION: | |
| URL;VALUE=URI:https://cognitect.wufoo.com/forms/pzlt26m14i4qc2/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Lightning Talks | |
| DTSTART;TZID=America/New_York:20171013T135000 | |
| CREATED:20171008T210216Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T113000 | |
| UID:B6D57D36-4903-412C-85E0-717BBDF4362D | |
| DTSTAMP:20171008T210240Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:Yet Analytics has been using Datomic (and Clojure) in our co | |
| re products since we started the company three years ago. We’ve had a gr | |
| eat experience using it as a database\, but Datomic is much more than th | |
| at: It is a collection of great ideas that have come to inform almost ev | |
| erything we do. In this talk I’ll tell Yet’s Datomic story with a focus | |
| on the ways these ideas have changed our approach to software across our | |
| stack\, even when Datomic itself is not involved. I’ll talk about how e | |
| vent sourcing helps us manage application state in browsers\, how datalo | |
| g simplifies dataset manipulation and queries in data science workbooks | |
| and virtual ETL applications\, and how multiple ideas from Datomic are i | |
| nforming our current work on large-scale streaming data platforms.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/yet-datomic/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Yet & Datomic: Immutable Facts Mutated Our Stack – Milton Reder | |
| DTSTART;TZID=America/New_York:20171013T105000 | |
| CREATED:20171008T210240Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T223000 | |
| UID:F8E36704-C3E3-4648-8556-ECA872D71356 | |
| DTSTAMP:20171008T210452Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION: | |
| URL;VALUE=URI: | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Party 🎉🍾 | |
| DTSTART;TZID=America/New_York:20171013T193000 | |
| CREATED:20171008T210310Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171013T171000 | |
| UID:CDF89397-E4FC-43F1-B9D8-3BA62C550BDA | |
| DTSTAMP:20171008T210353Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:Guy L. Steele has been instrumental in designing and documen | |
| ting several programming languages. Guy has served on accredited standar | |
| ds committees X3J11 (C language) and X3J3 (Fortran)\, and served as chai | |
| rman of X3J13 (Common Lisp). He was also a member of the IEEE committee | |
| that produced the IEEE Standard for the Scheme Programming Language\, IE | |
| EE Std 1178-1990. At Thinking Machines Corporation he co-developed the l | |
| anguages Connection Machine Lisp\, C*\, and Connection Machine Fortran. | |
| Whilst at Sun Microsystems (and now at Oracle) he has advised on the evo | |
| lution of the Java programming language. He is author or co-author of fi | |
| ve books: Common Lisp: The Language\, C: A Reference Manual\, The Hacker | |
| ’s Dictionary\, The High Performance Fortran Handbook\, and The Java Lan | |
| guage Specification. He has been given the Grace Murray Hopper Award (19 | |
| 88)\, the ACM SIGPLAN Programming Languages Achievement Award (1996)\, a | |
| nd the Harry H. Goode Memorial Award (2007).\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/guy-steele/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Invited Talk - Guy Steele | |
| DTSTART;TZID=America/New_York:20171013T161000 | |
| CREATED:20171008T210353Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171014T122000 | |
| UID:BA8531EC-3C40-45FF-8E20-A4CBB51DE03B | |
| DTSTAMP:20171008T210959Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:Deep Learning is eating the world. It’s changing the way we | |
| live\, communicate\, and solve problems. Although Clojure has its roots | |
| in the rich LISP heritage of AI\, it’s relatively new to the machine lea | |
| rning space. We’ll take a look at the many advantages that Clojure has t | |
| o offer in this exciting and fast moving area as well as some hurdles th | |
| at we’ll need to overcome to really shine.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/deep-learning-needs-clojure/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Deep Learning Needs Clojure – Carin Meier | |
| DTSTART;TZID=America/New_York:20171014T114000 | |
| CREATED:20171008T210511Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171014T104000 | |
| UID:B36310AB-C5AA-42B2-91C9-0C15DE9CE86A | |
| DTSTAMP:20171008T210749Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:Deeplearning4j is the best option for creating deep learning | |
| models via the JVM. Creator Adam Gibson and the open source community t | |
| hat sprung up around him have dedicated years to creating a commercial-g | |
| rade\, distributed and production ready ecosystem of libraries specifica | |
| lly designed to tackle the challenges of creating deep learning applicat | |
| ions. This talk is about bringing all of their hard work to the clojure | |
| community via a declarative wrapper that combines the luxuries of clojur | |
| e with the power of DL4J.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/declarative-deep-learning/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Declarative Deep Learning In Clojure – William Hoyt | |
| DTSTART;TZID=America/New_York:20171014T100000 | |
| CREATED:20171008T210511Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
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| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171014T113000 | |
| UID:554E8069-8B39-43D3-84BD-3936073E1C2E | |
| DTSTAMP:20171008T210901Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:This talk will detail our experience using Clojure for our t | |
| otal solution in bioInformatics field. Genomic data is being stored rapi | |
| dly because of the radical growth of DNA sequencer\, and its size reache | |
| s several hundred GB per specimen. As part of this talk\, I will discuss | |
| why we decided to use Clojure for analyzing such huge genomic data\, wh | |
| ile most of the bioinformatics tools are developed in C or Java for high | |
| performance. I will also touch on how Clojure is used for wide range of | |
| our solution of which 99% is written in Clojure(Script) from analysis m | |
| odules on the back-end to the web front-end. I will just focus Clojure t | |
| opics\, so that attendees do not need to have expertise in bioinformatic | |
| s.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/sequence-and-concurrent/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Sequence and Concurrent Processing for Huge Genomic Data – Toshi | |
| ki Takeuchi | |
| DTSTART;TZID=America/New_York:20171014T105000 | |
| CREATED:20171008T210511Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171014T095000 | |
| UID:2F6F1A82-B7B2-435F-8E72-17BAF53C83DE | |
| DTSTAMP:20171008T210655Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:A lighthearted gambol through the first ten years of Clojure | |
| ’s history.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/watching-a-language-grow/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Watching a Language Grow – Chris Houser & Michael Fogus | |
| DTSTART;TZID=America/New_York:20171014T091000 | |
| CREATED:20171008T210511Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171014T113000 | |
| UID:2D83B842-8046-4F82-827A-9B5051776A9D | |
| DTSTAMP:20171008T210819Z | |
| LOCATION:Holiday 6 | |
| DESCRIPTION:“A Lisp by any other name would be as fun and simple\,” Shak | |
| espeare once said.* People who first learn programming through Logo\, or | |
| its graphical spinoffs Blockly and Scratch\, often reminisce of fun and | |
| simplicity. Logo and Clojure are also both a Lisp\, so what’s easy in o | |
| ne language should inspire or carry over to the other. We introduce cloj | |
| ure-turtle and Power Turtle as ways to soften the Clojure learning curve | |
| \, with Power Turtle itself being vivid proof of the power and flexibili | |
| ty of Clojure.\n\n(* Or maybe not)\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/learning-clojure-through-logo | |
| / | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Learning Clojure through Logo – Elango Cheran | |
| DTSTART;TZID=America/New_York:20171014T105000 | |
| CREATED:20171008T210511Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| CREATED:20171008T210511Z | |
| UID:B81A154E-DC08-4825-86EF-980DA8E329EF | |
| DTEND;TZID=America/New_York:20171014T091000 | |
| TRANSP:OPAQUE | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Announcements | |
| DTSTART;TZID=America/New_York:20171014T090000 | |
| DTSTAMP:20171008T210511Z | |
| LOCATION:Holiday 4 & 5 | |
| SEQUENCE:0 | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| TRIGGER:-PT15M | |
| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| BEGIN:VEVENT | |
| TRANSP:OPAQUE | |
| DTEND;TZID=America/New_York:20171014T104000 | |
| UID:4B4807C4-64EB-401D-8782-9801E529E842 | |
| DTSTAMP:20171008T210718Z | |
| LOCATION:Holiday 4 & 5 | |
| DESCRIPTION:Are you interested in writing clojure.spec annotations but a | |
| re put off by spec’s intricate syntax or the prospect of reverse-enginee | |
| ring code and documentation? I’ll teach you how to automate most of this | |
| work with a new tool that uses runtime observations to generate useful | |
| specs for any project.\n\nWe’ll take entire namespaces from popular proj | |
| ects and generate specs that are compact enough to be readable\, but det | |
| ailed and specific enough to offer clear insights into the code. We’ll a | |
| lso discuss how the tool works\, and show how to use it with both its ea | |
| sy Leiningen plugin and simple REPL-compatible API.\n\nYou will learn ho | |
| w to automatically generate specs for your own projects\, getting you of | |
| f the ground and enjoying the benefits of spec quickly and easily.\n\n | |
| URL;VALUE=URI:http://2017.clojure-conj.org/tool-assisted-spec-developmen | |
| t/ | |
| SEQUENCE:0 | |
| X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC | |
| SUMMARY:Tool-Assisted spec Development – Ambrose Bonnaire-Sergeant | |
| DTSTART;TZID=America/New_York:20171014T100000 | |
| CREATED:20171008T210623Z | |
| BEGIN:VALARM | |
| X-WR-ALARMUID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
| UID:8517D796-8794-4DC9-A1B6-2A587767C335 | |
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| X-APPLE-DEFAULT-ALARM:TRUE | |
| ATTACH;VALUE=URI:Basso | |
| ACTION:AUDIO | |
| END:VALARM | |
| END:VEVENT | |
| END:VCALENDAR |
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