Chroniques de PyData Paris 2024: Compilation de voix, reflections, enseignements et tendances en Python et Data Science
Language: French
Published by Independently published, 2025
Series: Book 2 of 5 - Dating PyData
- Softcover
- New

Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: New
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- Title
- Chroniques de PyData Paris 2024: Compilation de voix, reflections, enseignements et tendances en Python et Data Science
- Author
- Lalou, Jonathan
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- French
- ISBN 13
- 9798282883695
- Series
- Book 2 of 5: Dating PyData
Ce livre est bien plus qu’un simple compte rendu de conférence : c’est un recueil, qui capture l’esprit, le contenu et les enseignements clés de PyData Paris 2024, l’un des plus grands rassemblements européens dédiés à l’écosystème Python, à la data science et à l’intelligence artificielle open source.
Rédigé avec soin, dans un style accessible et vivant, cet ouvrage s’adresse à toutes celles et ceux qui souhaitent :
-
Rattraper les interventions marquantes s’ils n’ont pas pu y assister
-
Approfondir les sujets techniques abordés pendant l’événement
-
Découvrir de nouvelles pratiques, outils et visions du futur de la donnée
-
Conserver une trace écrite et pérenne de l'édition 2024, en français.
📚 Ce que vous allez y trouver
Le livre présente une sélection structurée et commentée des interventions les plus importantes, organisées selon les grands axes de la conférence :
🧠 Sujets techniques abordés
-
Modèles de langage (LLM), fine-tuning, filtrage et supervision
-
Traitement de données à grande échelle avec Polars, DuckDB, Apache Arrow
-
Optimisation de pipelines, MLOps, monitoring et reproductibilité
-
Outils de visualisation et développement de notebooks interactifs (JupyterLab, JupyterLite)
-
Nouveaux langages et performances (Rust, WebAssembly…)
💬 Moments communautaires
-
Panels autour de la gouvernance open source, de l’inclusion et de la diversité
-
Échanges de couloir, lightning talks, rencontres informelles
💡 Pourquoi lire ce livre ?
✅ Pour gagner un temps précieux : éviter de visionner 20 heures de vidéos, tout est synthétisé avec clarté
✅ Pour comprendre les grandes tendances qui redessinent le paysage de l’IA et de la data open source
✅ Pour accéder à des analyses de fond, enrichies par le regard d’un participant impliqué et passionné
✅ Pour vous former rapidement aux outils et approches les plus récents du monde Python
✅ Pour garder une trace écrite durable d’un événement éphémère mais majeur
👥 Pour qui ?
Ce livre est destiné à :
-
Des data scientists et ingénieurs ML souhaitant élargir leurs horizons techniques
-
Des décideurs techniques qui veulent anticiper les évolutions du secteur
-
Des étudiants ou formateurs en quête de cas d’usage concrets et inspirants
-
Des membres de la communauté open source engagés ou en devenir
📦 En résumé
Un concentré d’intelligence collective, de passion technique et d’ouverture sur le futur de la donnée.
Un indispensable pour toute personne qui vit ou aspire à vivre la data science dans un esprit de partage, de rigueur et d’innovation.
"Synopsis" may belong to another edition of this title.
GreatBookPrices
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