https://timeseries.fr/edition/timeseriesfr-18/

1<!doctype html><html lang=fr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><title>TSFR Edition #18 - LispTick: Traitement efficient des timeseries en pur streaming. | Time Series France</title><link rel=stylesheet href=/css/main.min.f2c2e82b53e7828d98c69789bedd431e257706442bf40d1c024911c7c29f2528.css integrity="sha256-8sLoK1Pngo2YxpeJvt1DHiV3BkQr9A0cAkkRx8KfJSg=" crossorigin=anonymous><link rel=stylesheet type=text/css media=screen href=/output.css><link rel=icon type=image/svg+xml href=/timeseriesfr/symbol/background/svg/logo-on-white.svg><link href=/edition/index.xml rel=alternate type=application/rss+xml title="TSFR Edition #18 - LispTick: Traitement efficient des timeseries en pur streaming. - Editions"><link href=/index.xml rel=alternate type=application/rss+xml title="TSFR Edition #18 - LispTick: Traitement efficient des timeseries en pur streaming."></head><body><div class="container mx-auto max-w-7xl sm:px-6 lg:px-8"><nav><div class="navbar bg-base-100"><div class=navbar-start><a class=link href=/><img src=/timeseriesfr/logo/transparent/svg/logo-on-white.svg></a></div><div class=navbar-end><ul class="menu menu-horizontal px-1"><li><a class=mr-3 href=/>Accueil</a></li><li><a class='mr-3 text-base-100 menu-active' href=/edition/>Editions</a></li></ul></div></div></nav><header><div class="min-h-max bg-secondary rounded-lg my-6"><div class="grid grid-cols-1 md:grid-cols-2"><div class=m-10><h1 class="text-5xl font-bold text-base-100">Time Series France</h1><p class="py-6 text-base-100">La commmunauté francophone sur les séries temporelles, de la collecte de la donnée jusqu'à son exploitation !</p><a href=#contact class="btn btn-accent text-base-100">Rejoignez la communauté</a></div><div class="hidden md:inline"><img src=/timeseriesfr/symbol/transparent/svg/logo-on-blue.svg class="max-w-sm float-right"></div></div></div></header><div class="col-1 border border-solid border-primary rounded-lg px-8 py-5 my-5 text-secondary"><div class="flex items-center"><svg class="w-10 h-10 mr-3" viewBox="0 0 448 512"><path d="M128 0c17.7.0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5.0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5.0-48-21.5-48-48V192zM329 305c9.4-9.4 9.4-24.6.0-33.9s-24.6-9.4-33.9.0l-95 95-47-47c-9.4-9.4-24.6-9.4-33.9.0s-9.4 24.6.0 33.9l64 64c9.4 9.4 24.6 9.4 33.9.0L329 305z"/></svg><h2 class="text-xl md:text-3xl my-3"><a href=/edition/timeseriesfr-18/ class=link>TSFR Edition #18 - LispTick: Traitement efficient des timeseries en pur streaming.</a></h2></div><div class="flex flex-wrap items-center gap-x-2 text-sm my-3"><svg fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" class="w-5 h-5 my-2"><path stroke-linecap="round" stroke-linejoin="round" d="M12 6v6h4.5m4.5.0A9 9 0 113 12a9 9 0 0118 0z"/></svg>
2<time datetime="2023-09-13 00:00:00 +0200 CEST">13/09/2023</time>
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4<span class="badge badge-outline badge-md badge-primary">lisp</span>
5<span class="badge badge-outline badge-md badge-primary">streaming</span>
6<span class="badge badge-outline badge-md badge-primary">performance</span>
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7-24-19.4-29.1-33.4-29.4-13.4-.3-16.9 2-21.4 4.6-2.9 1.7-6.6 4.9-11.7-.3-6.3-6-11.1-11.7-19.4-12.9-12.3-2-17.7 2-26.6 9.7-3.4 2.9-12 12.9-20 9.1-3.4-1.7-15.4-7.7-24-11.4-16.3-7.1-40 4.6-48.6 20-12.9 22.9-38 113.1-41.7 125.1-8.6 26.6 10.9 48.6 36.9 47.1 11.1-.6 18.3-4.6 25.4-17.4 4-7.4 41.7-107.7 44.6-112.6 2-3.4 8.9-8 14.6-5.1 5.7 3.1 6.9 9.4 6 15.1-1.1 9.7-28 70.9-28.9 77.7-3.4 22.9 26.9 26.6 38.6 4 3.7-7.1 45.7-92.6 49.4-98.3 4.3-6.3 7.4-8.3 11.7-8 3.1.0 8.3.9 7.1 10.9-1.4 9.4-35.1 72.3-38.9 87.7-4.6 20.6 6.6 41.4 24.9 50.6 11.4 5.7 62.5 15.7 58.5-11.1zm5.7 92.3c-10.3 7.4-12.9 22-5.7 32.6 7.1 10.6 21.4 13.1 32 6 10.6-7.4 13.1-22 6-32.6-7.4-10.6-21.7-13.5-32.3-6z"/></svg>
8<a href=https://www.meetup.com/fr-FR/time-series-france/events/294848264/><span class="badge badge-outline badge-md badge-ghost">Inscription</span></a></div><div class="mt-5 prose max-w-none text-neutral"><p>Bonjour à tou(te)s,</p><p>Pour cette 18ème édition, nous allons mettre nos activités entre parenthèses et donner un petit coup de glamour avec la présentation de <a href=https://lisptick.org/>LispTick</a> par <a href=https://www.linkedin.com/in/cedric-joulain/>Cédric Joulain</a>.</p><p>Pendat cette édition, Cédric va nous présenter <a href=https://lisptick.org>LispTick</a>, un format de stockage et un moteur de calcul sur les timeseries en pur streaming. Vous pourrez découvrir ou redécouvrir les nombreux avantages insoupçonnés d’une approche pur streaming:</p><ul><li>une utilisation mémoire minimale,</li><li>aucune contrainte sur la taille des timeseries,</li><li>le début des résultats pouvant arriver quasi immédiatement,</li><li>traitement identique de l’historique et du temps réel (temps continu),</li><li>etc.</li></ul><p><a href=https://lisptick.org>LispTick</a> a été conçu à l’origine pour les flux de bourses, les flux les plus complexes car asynchrones, avec des fréquences très variables (quelques points par an à plusieurs à la même nanoseconde) et tout type de valeur (entiers, décimaux, réels, booléen, chaîne de caractères…). Nous avons depuis étendu les usages à l’IoT, la météo, les tenseurs multidimentionnels… Ainsi, nous avons pu appliquer des algortihmes de finance au suivi de la santé des abeilles!</p><p>A propos de Cédric Joulain : après avoir suivi un cursus Ingénieur en informatique et en parallèle un DEA en traitement du signal j’ai été doctorant en NeuroCybernetic avec plusieurs publications à la clef. J’ai ensuite travaillé pendant 20 ans, de près ou de loin, pour BNP Paribas à Paris et Londres dans les équipes recherches des salles de marché. L’expertise acquise m’a permis de développer une approche très efficace du traitement des timeseries, aussi bien pour le stockage que pour le calcul en pur streaming. Depuis 2021, je suis responsable R&amp;D chez <a href=https://kereon-intelligence.com/>Kereon Intelligence</a>, travaillant sur tout type de projet innovant relatif à la data, que ce soit de la computer vision, de l’IoT,… ou bien sûr des timeseries!</p><p>Cette édition se fait toujours en virtuel via Zoom étant sur la région parisienne et notre invité dans la région de Poitiers. Si néanmoins quelqu&rsquo;un souhaite héberger le meetup pour avoir une version hybride, n&rsquo;hésitez pas à me contacter.</p><p>Nous espérons vous voir nombreux !</p><h3 id=supports-de-présentation>Supports de présentation</h3><p>Vidéo :</p><div style=position:relative;padding-bottom:56.25%;height:0;overflow:hidden><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share; fullscreen" loading=eager referrerpolicy=strict-origin-when-cross-origin src="https://www.youtube-nocookie.com/embed/Uk--HtbH-UI?autoplay=0&amp;controls=1&amp;end=0&amp;loop=0&amp;mute=0&amp;start=0" style=position:absolute;top:0;left:0;width:100%;height:100%;border:0 title="YouTube video"></iframe></div><p>Slides :</p>

8<script async class=speakerdeck-embed data-id=5faf11ce56bb444fb06792cf459ebb3b data-ratio=1.7777777777777777 src=//speakerdeck.com/assets/embed.js></script>

8</div></div><div class="grid grid-flow-col auto-cols-max grid-cols-7 justify-items-center rounded-lg p-10 my-10 bg-neutral" id=contact><a href=https://www.meetup.com/fr-FR/time-series-france/><svg class="h-6 md:h-24 w-6 md:w-24 fill-base-100" viewBox="0 0 512 512"><path d="M99 414.3c1.1 5.7-2.3 11.1-8 12.3-5.4 1.1-10.9-2.3-12-8-1.1-5.4 2.3-11.1 7.7-12.3s11.1 2.3 12.3 8zm143.1 71.4c-6.3 4.6-8 13.4-3.7 20 4.6 6.6 13.4 8.3 20 3.7 6.3-4.6 8-13.4 3.4-20-4.2-6.5-13.1-8.3-19.7-3.7zm-86-462.3c6.3-1.4 10.3-7.7 8.9-14-1.1-6.6-7.4-10.6-13.7-9.1-6.3 1.4-10.3 7.7-9.1 14 1.4 6.6 7.6 10.6 13.9 9.1zM34.4 226.3c-10-6.9-23.7-4.3-30.6 6-6.9 10-4.3 24 5.7 30.9 10 7.1 23.7 4.6 30.6-5.7 6.9-10.4 4.3-24.1-5.7-31.2zm272-170.9c10.6-6.3 13.7-20 7.7-30.3-6.3-10.6-19.7-14-30-7.7s-13.7 20-7.4 30.6c6 10.3 19.4 13.7 29.7 7.4zm-191.1 58c7.7-5.4 9.4-16 4.3-23.7s-15.7-9.4-23.1-4.3c-7.7 5.4-9.4 16-4.3 23.7 5.1 7.8 15.6 9.5 23.1 4.3zm372.3 156c-7.4 1.7-12.3 9.1-10.6 16.9 1.4 7.4 8.9 12.3 16.3 10.6 7.4-1.4 12.3-8.9 10.6-16.6-1.5-7.4-8.9-12.3-16.3-10.9zm39.7-56.8c-1.1-5.7-6.6-9.1-12-8-5.7 1.1-9.1 6.9-8 12.6 1.1 5.4 6.6 9.1 12.3 8 5.4-1.5 9.1-6.9 7.7-12.6zM447 138.9c-8.6 6-10.6 17.7-4.9 26.3 5.7 8.6 17.4 10.6 26 4.9 8.3-6 10.3-17.7 4.6-26.3-5.7-8.7-17.4-10.9-25.7-4.9zm-6.3 139.4c26.3 43.1 15.1 1e2-26.3 129.1-17.4 12.3-37.1 17.7-56.9 17.1-12 47.1-69.4 64.6-105.1 32.6-1.1.9-2.6 1.7-3.7 2.9-39.1 27.1-92.3 17.4-119.4-22.3-9.7-14.3-14.6-30.6-15.1-46.9-65.4-10.9-90-94-41.1-139.7-28.3-46.9.6-107.4 53.4-114.9C151.6 70 234.1 38.6 290.1 82c67.4-22.3 136.3 29.4 130.9 101.1 41.1 12.6 52.8 66.9 19.7 95.2zm-70 74.3c-3.1-20.6-40.9-4.6-43.1-27.1-3.1-32 43.7-101.1 40-128-3.4-24-19.4-29.1-33.4-29.4-13.4-.3-16.9 2-21.4 4.6-2.9 1.7-6.6 4.9-11.7-.3-6.3-6-11.1-11.7-19.4-12.9-12.3-2-17.7 2-26.6 9.7-3.4 2.9-12 12.9-20 9.1-3.4-1.7-15.4-7.7-24-11.4-16.3-7.1-40 4.6-48.6 20-12.9 22.9-38 113.1-41.7 125.1-8.6 26.6 10.9 48.6 36.9 47.1 11.1-.6 18.3-4.6 25.4-17.4 4-7.4 41.7-107.7 44.6-112.6 2-3.4 8.9-8 14.6-5.1 5.7 3.1 6.9 9.4 6 15.1-1.1 9.7-28 70.9-28.9 77.7-3.4 22.9 26.9 26.6 38.6 4 3.7-7.1 45.7-92.6 49.4-98.3 4.3-6.3 7.4-8.3 11.7-8 3.1.0 8.3.9 7.1 10.9-1.4 9.4-35.1 72.3-38.9 87.7-4.6 20.6 6.6 41.4 24.9 50.6 11.4 5.7 62.5 15.7 58.5-11.1zm5.7 92.3c-10.3 7.4-12.9 22-5.7 32.6 7.1 10.6 21.4 13.1 32 6 10.6-7.4 13.1-22 6-32.6-7.4-10.6-21.7-13.5-32.3-6z"/></svg></a>
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