| 301. | Marco Santamaria - Pipenv per la gestione delle dipendenze negli ambienti di sviluppo | 38:35 | |
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| 302. | [PyCon Italy 2014] D. Corio - Kivy, applicazioni mobile cross-platform in Python | 38:34 | |
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| 303. | Kivy RAD Python by Davide Corio | 38:33 | |
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| 304. | Giuseppe Vallarelli - Python & Serverless: Refactor your monolith piece by piece | 38:32 | |
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| 305. | Valentino Gagliardi - Decoupling Django with Django REST (and a sprinkle of React) | 38:27 | |
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| 306. | Franco Carbognani - Python and the Commissioning of the Advanced Virgo Gravitational Waves Detector | 38:23 | |
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| 307. | S. Dalla - Google loves Python 2.0 | 38:21 | |
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| 308. | André Panisson - Tensor decomposition with Python: Learning structures from multidimensional data | 38:19 | |
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| 309. | [PyCon Italy 2014] M. Paolini - Django meets asyncio | 38:13 | |
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| 310. | E. Lopez, L. Di Naro - Usare Odoo come framework | 38:09 | |
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| 311. | G. Porcari - Erpy e Genropy. Gestione punti vendita | 38:09 | |
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| 312. | Roberto Rosario - Geospatial three amigos: Python, Leaflet, and ElasticSearch | 38:06 | |
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| 313. | Benedetto Campanale - Jmb mailup uno strumento semplice per Interfacciarsi con MailUp | 38:06 | |
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| 314. | DjangoCMS Best Practices by Iacopo Spalletti | 38:01 | |
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| 315. | P. Bittner - Continuous delivery starts at your Development Environment | 38:00 | |
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| 316. | Serena Lorenzini - Ansible roles, private git repos and the Ansible Galaxy tool | 37:57 | |
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| 317. | U. Cakmak - Recent advancements in NLP and Deep Learning: A Quant's Perspective | 37:56 | Let's Play |
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| 318. | Nicola Iarocci - Convalida dei dati per essere umani | 37:55 | |
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| 319. | Alessandro Molina - Python Standard Library, the hidden gems | 37:54 | |
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| 320. | R. Souza - Taking care of PostgreSQL with Ansible | 37:45 | |
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| 321. | Eliumara Lopez - Primi passi in Odoo dev | 37:44 | |
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| 322. | [PyCon Italy 2014] S. Federici - Ta taaaa... chi trova fabric non lo lascia più | 37:39 | |
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| 323. | Riconoscimento di eventi in sequenze di immagini molto rumorose by Gianfranco Durin | 37:39 | |
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| 324. | Marco Nenciarini - PostgreSQL on the kube | 37:31 | |
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| 325. | Alessandro Amici - Affrontare le sfide del cambiamento climantico con Python | 37:30 | |
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| 326. | F. Cabral - Using Python to bring democracy to the A.I. age | 37:27 | |
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| 327. | Roberto Rosario - Dockerizing Django projects | 37:25 | |
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| 328. | Marco Bonzanini - Let the AI Do the Talk: Adventures with Natural Language Generation | 37:22 | |
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| 329. | Antonio Cuni - PyPy Status Update | 37:21 | |
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| 330. | Francesco Bruni - Geospatial analysis with Python | 37:18 | |
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| 331. | Alessio Guerrieri - Please tell me why?! Explaining Machine Learning predictions in Python with Shap | 37:16 | |
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| 332. | Christian Barra - How software can feed the world | 37:14 | |
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| 333. | The IoT revolution present and future by Fabio Pliger | 37:14 | |
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| 334. | F. Caboni - Serverless Computing con Python e AWS : Redux | 37:08 | |
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| 335. | C. Barra - Scaling your Data infrastructure | 37:08 | |
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| 336. | Amit Kushwaha - Defence Against the Dark Arts: Adversarial ML | 37:04 | |
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| 337. | Alessandro Tufi : Un CRM con Genropy e altro | 36:58 | |
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| 338. | Alessandro Tufi - Un CRM con Genropy e altro | 36:58 | |
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| 339. | Building a self-service kubernetes platform for python developers - Fagani Hajizada | 36:57 | Discussion |
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| 340. | Katie Silverio - A huge green snake bars the way | 36:56 | |
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| 341. | Francesco Bruni - Ripensare la programmazione: un approccio funzionale | 36:56 | |
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| 342. | un programmatore python tra gli elefanti by Davide Setti 1 | 36:55 | |
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| 343. | S. Severino - Heroku: come deployare un'app Django in 10 minuti! | 36:48 | |
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| 344. | Davide Corio - Costruire un sito e-commerce con Odoo | 36:40 | |
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| 345. | Snakes and Ladders: The Ups and Downs of Python Development with AWS Lambda - Kristi Perreault | 36:34 | |
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| 346. | T. Nocentini, L Secchi - Quando Django incontra PosgreSQL! | 36:32 | |
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| 347. | Riccardo Magliocchetti - Dai dati alla visualizzazione: la mia prima data pipeline | 36:30 | |
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| 348. | F. Carbognani - Python, Gravitational Waves and the Dawn of Multimessenger Astrophysics | 36:29 | |
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| 349. | Akul Mehra - Predicting Human Activity using Time Series Analysis | 36:28 | |
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| 350. | Machine Learning Recipes for Large Scale problems by Valerio Maggio VER2 | 36:25 | |
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| 351. | Eric Bonfadini - Introduzione a Orange Data Mining | 36:22 | |
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| 352. | Paula Gonzales - From Science with (Data) Love: make others love data the way you do | 36:17 | |
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| 353. | Pietro Battiston - You don't need n dimensions when you have pandas | 36:13 | |
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| 354. | Leonardo Cecchi - Docker e PostgreSQL un matrimonio possibile | 36:10 | |
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| 355. | How to Handle Very Large Data with Python - Jill Cates | 36:10 | Guide |
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| 356. | [PyCon Italy 2014] E. Palazzetti - Da sito web a dati JSON in 30 minuti con Scrapy | 36:08 | |
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| 357. | Leonardo Giordani - Abstract base classes uso intelligente delle metaclassi | 36:07 | |
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| 358. | Daniele Grieco, Stefano Terna - IoT e Machine learning per le PMI | 36:06 | |
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| 359. | A. Marcolini - How to make your model happy again | 36:00 | |
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| 360. | F. Porcari - Business Intelligence con Genropy | 35:58 | |
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| 361. | Alessandro Betti - Algoritmo di Routing Multi-Obiettivo di Veicoli Elettrici | 35:57 | |
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| 362. | A.Cuni - The practice of TDD: tips&tricks | 35:54 | |
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| 363. | aaS Royal Rumble by Barra Martelli e Percoco | 35:44 | |
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| 364. | Packaging Django projects for PyPI by Roberto Rosario | 35:42 | |
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| 365. | Cheuk Ho - AI and algorithmic art | 35:38 | |
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| 366. | A. Aneja - Working for FOSS can make you a better programmer | 35:32 | |
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| 367. | Baking Beaker perchè sessioni e caching possono ancora convivere by Alessandro Molina | 35:31 | |
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| 368. | M. Zuccon - Monitora le performance della tua applicazione Python Flask con Elasticsearch e Kibana | 35:31 | |
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| 369. | PyCon 9 - Lightning Talks | 35:27 | |
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| 370. | Justyna Janczyszyn - Amazon Web Services for dummies - tip and tricks | 35:21 | |
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| 371. | Andrii Soldatenko - Crash test of Django ORM | 35:19 | |
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| 372. | Marcin Gębala - Real world Graphene - lessons learned from building a GraphQL API | 35:19 | |
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| 373. | Knowing your Garbage collector by Francisco Fernández Castaño | 35:10 | |
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| 374. | PEP 683: Immortal Objects - A new approach for memory managing - Vinícius Gubiani Ferreira | 35:09 | Discussion |
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| 375. | F. Percoco - Don't try to look smart, be smart! | 35:07 | |
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| 376. | Marco Nenciarini - Pglogical il futuro della replica con Postgres | 35:06 | Vlog |
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| 377. | Rubens Souza - Taking care of PostgreSQL with Ansible | 35:02 | |
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| 378. | Writing async microservices in Python - Iacopo Spalletti | 35:02 | |
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| 379. | Offer Sharabi - From Java to Python | 34:53 | |
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| 380. | A. Grandi - Practical Machine Learning with Python and scikit-learn | 34:48 | |
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| 381. | Sviluppare e progettare consapevolmente: occhio all'inclusività | 34:47 | |
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| 382. | [PyCon Italy 2014] V. Maggio - Matplotlib recipes for your graphical "soups" | 34:45 | |
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| 383. | Alexandre Savio - Nipy on functional brain MRI | 34:37 | |
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| 384. | The European AI Act: a data scientist’s perspective - Luca Gilli | 34:35 | |
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| 385. | Practical Pipelines: A Houseplant Alerting System with ksqlDB - Danica Fine | 34:35 | |
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| 386. | How you can write a dataframe-agnostic library - Marco Gorelli | 34:27 | |
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| 387. | Odoo 8 Sviluppo di un modulo dalla A al Report by Ellumara del Valle Lopez | 34:21 | |
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| 388. | Elena Nieddu - In Codice Ratio: Machine Transcription in the Vatican Secret Archive | 34:17 | |
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| 389. | Francesco Porcari - Genropy: non solo gestionali | 34:16 | |
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| 390. | Roberto De Ioris - Unreal Engine 4 e Python: Ora si Puo' | 34:13 | |
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| 391. | Giulio Calacoci, Francesco Canovai - Disaster recovery: una serie di sfortunati eventi | 34:11 | |
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| 392. | Marco Nenciarini - Python e PostgreSQL, un connubio perfetto | 34:08 | |
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| 393. | Antonio Spadaro - AI, Machine Learning e Deep Learning: cosa cambia? | 34:07 | |
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| 394. | G. Di Bernardo - GPU-accelerated data analysis in Python: a study case in Materal Sciences | 34:04 | |
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| 395. | Laura De Stefanis , Ciro Campese , Amr Abdullatif - Machine Learning for Inventory Management | 33:57 | |
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| 396. | Processing and analysing streaming data with Python and Apache Flink - Javier Ramirez | 33:56 | |
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| 397. | Marco Bonzarini - Building data pipelines in python | 33:55 | |
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| 398. | Pietro Mascolo - Good features beat algorithms | 33:54 | |
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| 399. | Apache Arrow as a full stack data engineering solution - Alessandro Molina | 33:48 | |
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| 400. | Luca Antiga - RedisAI | 33:44 | |
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