PyVenice

In collaborazione con UseCaseConf,

Ci troviamo in #presenza giovedì 17 settembre alle ore 19:00.

La scaletta prevede due speech seguiti da discussione ciascuno.

E dopo\, per chi vuole\, resteremo in zona per \( 🍸 \| 🍺 \) e \( 🍕 \| 🍔 \)

📽 E se avete piacere di condividere idee, progetti, argomenti, o proporvi come prossimi speaker, lascio un form Google e la pagina Sessionize !

Il Meetup WordPress di Roma

In questo appuntamento avremo Vincenzo Arena come speaker.

Come di consueto i contributi sotto forma di flash-talk o ulteriori approfondimenti possono essere proposti direttamente durante il Meetup, oppure nel canale #wproma su Slack nella Italia WP Community.

Saremo ospitati da Binario F, sempre all'interno dello spazio di The Hub - Zest Group.

Il Meetup WordPress di Roma è un evento dal vivo gratuito dedicato al mondo WordPress.

Siamo presenti sui social network:

• Facebook
• X (Twitter)
• Mastodon
• LinkedIn

Un grande grazie al nostro sponsor Sticker Mule, e a Binario F per ospitarci in questa bellissima sede.

Coding Bunker

Yohooo! – L’arte di essere meno developer e più pirata (Anche se con meno rum e più caffè)

Cosa possono insegnarci i pirati sul lavoro di squadra nello sviluppo software?

In questo meetup, Adriano Barsali ci porterà alla scoperta di un lato meno conosciuto delle ciurme piratesche: organizzazioni basate su collaborazione, regole condivise, responsabilità reciproca e mutuo soccorso.

Attraverso esempi, esperienze reali e qualche incursione nella storia della pirateria, esploreremo alcuni temi centrali per costruire team più efficaci:

• Psychological Safety: come creare un ambiente in cui fare domande, ammettere un errore o chiedere aiuto non venga percepito come un segno di debolezza
• Junior e Senior: come superare sia la paura di sbagliare sia l'aspettativa che chi ha più esperienza debba avere sempre la risposta giusta
• Collaborazione: come passare da un gruppo di singoli developer a una squadra che condivide responsabilità, conoscenza e obiettivi
• Ego: perché il valore di un team non si misura dal singolo commit, ma dalla capacità della “ciurma” di avanzare insieme

L'obiettivo non è diventare meno competenti tecnicamente, ma capire come utilizzare meglio le nostre competenze all'interno di un team.

Speaker

Adriano Barsali \- Team Leader & Senior Frontend Developer

Negli anni è passato allo sviluppo web, lavorando su applicazioni di diversa scala e complessità e collaborando con team cross-funzionali durante tutte le fasi del ciclo di sviluppo software.

Link Telegram

​

18:30 - Accredito

​​19:15 - Inizio sessione

​​20:30 - Networking

Nota legale

Python Pescara

In occasione dell’arrivo a Pescara di Django on the Med 🏖️, lo sprint internazionale dedicato a Django, ci sembrava il momento perfetto per organizzare una PyDinner un po’ speciale.

Niente slide, talk o speaker: ci troviamo semplicemente a cena per mangiare una pizza, conoscerci e fare quattro chiacchiere, mettendo insieme la nostra community Python locale e la community Django internazionale.

📅 Quando: 22 settembre 2026, ore 19:30

Le pizze saranno servite al tavolo e condivise tra i partecipanti, fino a un massimo complessivo di una pizza per ogni persona presente. Non sarà quindi possibile ordinare una pizza personale a scelta.

\* Durante l’iscrizione indicate eventuali allergie, intolleranze o preferenze alimentari: le comunicheremo in anticipo alla pizzeria, così da tenerne conto nella scelta delle pizze.

🇺🇸

Python Pescara, a community partner of Django on the Med, invites you to spend an evening together with the local Python community and the international Django developers coming to Pescara for the event.

📍 Where: Lido Aurora, Pescara

🍕 Menu: Giro Pizza, €27 per person, including a small bruschetta, fries, a selection of pizzas to share\*, water, and cover charge.

Everyone will pay their own share directly at the counter. Drinks other than water and any extras are not included and must be paid separately.

⚠️ Places are limited and registration is required. Only people registered through Meetup will be able to attend, so please do not bring additional guests or companions who are not registered.

Rome AI, Machine Learning and Computer Vision Meetup

Date, Time and Location

Sep 22, 2026

Online. Register for the Zoom!

Ask it to find and remove duplicate images, run object detection and surface low-confidence predictions, or evaluate a model and summarize where it fails, and the agent handles execution end to end.

We will also walk through the newest capabilities shipping with this release, including code generation and plugin generation. You will see how to go from a conversational prompt to a custom dashboard, visualization, or full FiftyOne application, and how to package multi-step workflows as reusable skills the agent can call on demand.

Because the agent runs inside FiftyOne's secure guardrails, teams keep full control. Connect your preferred models from over 100 LLM providers, route requests through your own enterprise gateway, and maintain audit logging and user attribution for every action the agent takes.

Padova WordPress Meetup

Dopo la pausa estiva tornano gli appuntamenti mensili con Padova WordPress Meetup: il 23 settembre presso il coworking Lab38 dalle 19.15 alle 21.15 ci sarà Tommaso Signori, fondatore di stupydoo, che ci parlerà di come costruire il proprio assistente IA: workspace, istruzioni e automazioni per chi lavora con WordPress.

Chi lavora in proprio con WordPress passa buona parte della settimana su attività che con lo sviluppo hanno poco a che fare: la parte amministrativa, i brief per i collaboratori, i riassunti delle call con i clienti, le checklist di test da ripetere a ogni consegna e dopo ogni aggiornamento.

In questo talk vedremo come impostare un assistente IA che si occupi di questa parte del lavoro, uscendo dalla logica della chat. Come si organizza il workspace, quali istruzioni conviene dargli, come si automatizzano le attività che tornano ogni settimana e come si trasforma una checklist che già usate in una procedura da richiamare all'occorrenza.

Al termine dell'incontro ci fermeremo per una cena all' Old Wild West di Legnaro in Viale dell'Industria, 30, 35020 Legnaro PD.

Iscriviti al Meetup:

Un grazie ai nostri sponsor Vhosting Solution e Novamira per il supporto al Padova WordPress Meetup.

WordPress Meetup Genova

Come cantava Jarabe de Palo, "Depende, de qué depende...". Ma prima di rispondere con il solito e odiato "dipende", al WP Meetup #31 vogliamo fare un passo indietro e porci una domanda più profonda: cosa stiamo vendendo davvero quando facciamo un preventivo? Un prodotto finito? Una consulenza strategica di posizionamento? Ore di codice, UX design o interminabili riunioni di allineamento?

Di cosa parleremo

• Cosa vendiamo realmente: come identificare e comunicare il valore reale erogato a chi ci "compra" un sito.
• Psicologia e ancoraggio del prezzo: le soglie psicologiche del mercato e come viene percepita una proposta economica.
• L'arte di raccontare il valore: perché il problema quasi mai è la cifra in sé, ma la struttura con cui viene presentata.
• I costi nascosti: le trappole del fai-da-te e lo sviluppo custom inutile quando il tempo è la risorsa più preziosa.
• L'introduzione dell'AI: l'AI ci sta aiutando nel processo produttivo oppure ci sta rubando il lavoro?

Ospite della serata Per aiutarci a decifrare queste dinamiche avremo con noi Francesca Moresco, Client Manager in TWOW. Francesca vive ogni giorno la "trincea" dei preventivi, della gestione dei budget e del confronto con i clienti: insieme a lei capiremo perché i tassi di conversione cambiano drasticamente e come far percepire il giusto valore al cliente.

Programma e Orari

• 18:15 – 18:30: Accoglienza
• 18:45 – 19:45: Talk & Tavola rotonda con Francesca Moresco
• 19:45 – 20:30: Q&A, dibattito aperto e Networking (con aperitivo offerto!)

Dettagli dell'evento

• 📅 Quando: Mercoledì 23 Settembre \| Ore 18:30
• 📍 Dove: Presso TWOW, Via Lomellini 2/1, Genova (In presenza)
• 📽️ Streaming: Diretta live garantita dal nostro sponsor AerCast per chi non riesce a partecipare di persona

L'evento è gratuito ma la prenotazione è obbligatoria qui su Meetup per aiutarci a gestire gli spazi. E ricordate: a chi cerca solo il prezzo più basso senza capire il valore, la risposta resta sempre una sola... c'è sempre tuo cugino che te lo fa gratis! 😉

Rome AI, Machine Learning and Computer Vision Meetup

Date, Time and Location

Sep 24, 2026

Online. Register for the Zoom!

How Do Mercedes-Benz AI Principles Drive our Innovation?

At Mercedes-Benz, our AI Principles guide every step of innovation, emphasizing responsible use, safety and reliability, explainability, and the protection of privacy. These principles go beyond statements and actively shape how we design, test, and deploy AI systems in real-world automotive and enterprise settings. In this talk, I will present how these principles inspired our recent research on when reusing LoRA (Low-Rank Adaptation) is effective. By combining theoretical analysis with synthetic data as a proxy for enterprise scenarios, we uncovered the strengths and limitations of modular AI components under constrained data access. Our findings provide practical guidance on when reused LoRAs could deliver high-quality results.

About the Speaker

Mei-Yen Chen is a Senior Data Scientist at Mercedes-Benz Tech Innovation GmbH in Germany with 10 years of industry experience in AI and data solutions. She leads early-stage AI projects across business functions and collaborates with research institutions on machine learning and responsible AI.

Region Tokens as the Visual Primitive: From Recognition to World Modeling

Patch-based tokenization has become the default interface between vision encoders and downstream models, yet patches carry no semantic structure and scale poorly with resolution and temporal extent. This talk presents a research program centered on replacing patch tokens with region-level representations — semantically dense tokens grounded in visual entities rather than arbitrary grid crops.

I will describe RELOCATE, REN, and T-REN, a progression of methods that produce region tokens via pooling, train them with region-level objectives, and extend them to video with temporal coherence. I will then present ongoing work integrating region tokens into VLMs to directly expand visual context capacity, and preliminary results on future region trajectory prediction as a foundation for world modeling.

The broader thesis is that region-level tokens are a more natural unit of visual computation than patches, and their advantage compounds as task complexity, resolution, and temporal horizon increase.

About the Speaker

Savya Khosla is a second-year Ph.D. student at the University of Illinois Urbana-Champaign, advised by Prof. Derek Hoiem and Prof. Alex Schwing.

Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation

Image collections are humans' primary way of capturing the world, yet advances in generative editing remain largely inapplicable to this modality. We address this gap by introducing Match-and-Fuse - a zero-shot, training-free method for consistent set-to-set generation from image collections that share a common visual element but differ in viewpoint, capture time, and surrounding content.

About the Speaker

Kate Feingold is a PhD student in Computer Vision at the Weizmann Institute of Science. Her research sits at the intersection of generative models, 3D/4D perception, and multimodal learning, focusing on problems where vision meets other modalities or paradigms in creative tasks.

Yield Estimation of a Coffee in a dense environment

This presentation provides a detailed workflow related to coffee yield estimation in a dense environment. With photos of pre-harvest coffee plants from a couple of coffee estates, details related to pre-processing, annotation to detect regions of interest (ROI), object detection training and inferencing results with various Yolo models and finally segmentation with SAM2 and Yolo\*-seg with training and inference results to determine the count of raw, pre-mature, mature and over-mature coffee berries and finally the yield of the entire estate. All this is based on real world data captured on iPhone and android phones.

About the Speaker

Raghu M. Rao is a consultant working on applications of computer vision AI models. He was previously with AMD and Xilinx. He has a Ph.D. in Wireless Communications from UCLA and is a Senior Member, IEEE. His current interests are in applications of AI for agriculture, health care and wireless communications.

Link dell'evento:

R-Ladies Rome

Join R-Ladies Rome for a practical, two-hour introduction to machine learning in epidemiology using R.

In this workshop, Federica Gazzelloni will introduce the main ideas behind supervised machine learning through an applied epidemiological example. Rather than focusing on a long list of algorithms, we will follow the complete machine-learning workflow: from defining an epidemiological question to training, evaluating and interpreting predictive models.

We will explore how different models approach the same prediction problem, starting with logistic regression as a baseline and moving to decision trees and random forests.

Using R, we will look at how to define a classification task, train models, generate predictions and evaluate their performance on unseen data.

Throughout the workshop, we will also consider an important distinction for epidemiological research:

The workshop is inspired by the recent Machine Learning in Epidemiology study by Wright et al. (2026) and connects with Federica's book, Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R (CRC Press, 2025), where she introduces machine-learning applications in health and infectious-disease research using the mlr framework.

What we will cover

• What machine learning means in an epidemiological context
• From an epidemiological question to a prediction task
• Preparing data for machine learning
• Logistic regression as a baseline model
• Decision trees and random forests
• Training and evaluating models with mlr3
• Cross-validation and performance on unseen data
• Sensitivity, specificity, confusion matrices and ROC/AUC
• Variable importance and model interpretation
• Prediction versus explanation and causation
• Limitations, bias and data quality in epidemiological machine learning

Who is this workshop for?

The workshop is designed for R users interested in epidemiology, public health, health data or machine learning. Basic familiarity with R and data analysis is useful, but no previous machine-learning experience is required.

About the instructor

She is the author of Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R, published by CRC Press in 2025.

R-Ladies

Everyone is welcome to attend, regardless of gender identity or level of experience.

Hacklab Cormano

ODSC AI Milano

Pre-Registration is REQUIRED. Joining link -

​WHEN

​September 30 at 1:00 PM ET

​WHO SHOULD JOIN?

​This session is for people who already use tools like ChatGPT or Claude, but want to go beyond asking questions and start using AI to actually get work done.

• ​Product and project managers
• ​Operations and process leads
• ​Marketing and admin professionals
• ​Founders and small business teams
• ​Career changers and AI beginners
• ​Anyone looking to automate everyday work without coding

​Come curious. No coding, setup, or technical background required.

WHAT YOU’LL LEARN

In this free, 45-minute hands-on session, ODSC's Sheamus McGovern shows you the difference between chatting with AI and putting it to work.

You'll watch Cowork sort a messy folder of files into order, turn raw notes and spreadsheets into a polished, ready-to-send document, and set up recurring work that runs on its own, no prompting required.

Just the everyday tasks you can hand off to AI that eat your week: filing, formatting, summarizing, following up, etc.

Leave with one task you can delegate this week, and a clear next step for what to automate after that.

​Stay Connected

• ​Learn: Free talks and trainings on the Ai+ Training platform.
• ​Read: The latest in AI research on the ODSC Blog.
• ​Chat: Join the conversation in our Slack Channel.
• ​Community: Review our Code of Conduct.

Rome AI, Machine Learning and Computer Vision Meetup

Date, Time and Location

Sep 30, 2026

Online. Register for the Zoom!

You’ll also automate repetitive tasks by writing custom workflows executing within the FiftyOne environment. Attendees will learn to transform FiftyOne from a visualization tool into a central hub for your vision stack.

What you'll learn:

• Build Python plugins. Define plugin manifests and directory structures to register custom functionality within the FiftyOne ecosystem.
• Develop server side operators. Write functions to execute model inference, data cleaning, or metadata updates from the App interface.
• Build interactive panels. Create custom UI dashboards using to visualize model metrics or specialized dataset distributions.
• Manage operator execution contexts. Pass data between the App front end and your backend to build dynamic user workflows.
• Implement delegated execution. Configure background workers to handle long running data processing tasks without blocking the user interface.
• Build labeling integrations. Streamline the flow of data between FiftyOne and annotation platforms through custom triggers and ingestion scripts.
• Extend vector database support. Program custom connectors for external vector stores to enable semantic search across large sample datasets.
• Package and share plugins. Distribute your extensions internally and externally

Rome AI, Machine Learning and Computer Vision Meetup

Date, Time and Location

Oct 08, 2026

Online. Register for the Zoom!

Designing Multi‑Agent Systems: Sequential, Parallel, and Beyond with ADK

Multi‑agent systems are powerful but choosing the wrong interaction pattern can quickly lead to fragile, slow, or expensive AI systems.

You’ll learn:

• When sequential agents are the right choice and when they become a bottleneck
• How parallel agents improve speed and coverage (and the trade‑offs they introduce)
• Common failure modes in poorly designed agent interactions
• Practical criteria for choosing the right pattern based on task, latency, and reliability

By the end of the session, you’ll have a clear mental model for designing multi‑agent systems that are intentional, scalable, and production‑ready.

About the Speaker

Dr Roushanak Rahmat is an Enterprise AI Architect, Google Developer Expert (AI & Cloud), and recognized among the Top 100 Women in Tech (2025). With a PhD in Artificial Intelligence and over 15 years of experience, she specializes in designing and delivering enterprise-scale Generative AI, Agentic AI, and Deep Learning solutions that transform industries including healthcare, finance, energy, and public services.

Privacy by Deployment: Architecting Agent-Driven Localization Workflows for Regulated Environments

Most enterprise AI today is private by promise - a DPA, a SOC 2 report, or a contract clause that says, "we won't train on your data". For a regulated buyer, these are remedies after a breach, not controls that prevent or contain one. For organizations in healthcare, finance, defense, and government, privacy often requires stronger guarantees: data residency, customer-controlled execution, and, in some cases, operation within air-gapped environments.

This session demonstrates how agentic AI can automate a localization workflow while operating within these constraints. Using a real-world localization pipeline as an example, we will show how agentic systems can coordinate translation, review, quality assurance, and content preparation tasks while incorporating human checkpoints for approval and oversight.

We will also walk through the architectural patterns that enable these workflows to run inside customer-controlled and air-gapped environments without transferring sensitive content outside the customer boundary. The session includes a live product demonstration.

Key Takeaways

• Architectural patterns for deploying agentic AI in air-gapped and customer-controlled environments
• How agentic systems can automate localization workflows while preserving critical human review and approval processes
• Practical considerations for operating agentic workflows in regulated environments with auditability and governance requirements

About the Speaker

Shruti Joshi is building an AI powered secure localization stack for regulated industries such as healthcare, legal, finance that cannot send their content to a typical hosted SaaS. She brings 12+ years of engineering and architecture experience to the question this talk addresses: how do you make an agentic AI system deployable inside a regulated perimeter.

MCP Is the Interface; Skills Are the Operating Discipline

This talk shows how MCP and Agent Skills work together in practical agent systems. MCP gives agents a standard interface to tools, data, and workflows; skills encode the operating discipline that makes those connections reliable. Using a sanitized field-operations ledger as the case study, the talk walks through source intake, normalized state, uncertainty labels, role prompts, QA gates, and share-safe status drafting.

About the Speaker

Chuck Hernandez is an AI engineering and client-delivery leader with 10+ years across software, data platforms, and enterprise implementation, including 3+ years shipping production GenAI systems.

Agentic engineering is about good guidance.

Garbage Inn. Is garbage out? This is true. For many input and output processes. In biological life and in computer systems, and equally true when working with LLM’s. The better the prompt, the better the context, the better the focus, And the better the contextual awareness, the better the quality of the output the LLM’s generates.

About the Speaker

Dimitri Geelen builds things that don't need him once they're done. Frameworks, transitions, agentic systems — the measure of success is always the same: does it hold up when he leaves the room? He understands not just how to deploy, but what it takes for a new service to survive and scale inside a complex enterprise.

LUGMan

GDG Cloud Milano

One day, two GDG communities, and 300 developers figuring out where technology is actually going. DevFest Milano is back: a full day of talks, hands-on workshops and community, organized by GDG Cloud Milano and GDG Milano.

The 2026 theme: from generative AI to agents

Models & generative AI — LLMs, multimodality, and building products on top of today's models.

Agents & tool use — reasoning, planning, orchestration: agents that call tools and APIs to act.

AI in production — from prototype to scale: cloud, evaluation, cost, and reliability.

Responsible AI — safety, privacy, and impact: building AI you can trust.

And because DevFest is a developer festival, not a single-topic conference, the rest of the stack is here too: Android, Web, Cloud, Flutter, Kotlin, Firebase, DevOps, Open Source and Accessibility.

What happens on the day

Hands-on workshops. Bring a laptop. Build something with the tools you've been reading about, with people in the room who can unblock you.

Community. The hallway track is half the reason to come. Between sessions you'll find the people who maintain the libraries you use, run the meetups you attend, and are hiring for the job you might want next. Coffee breaks and lunch are included, so nobody has to disappear at midday.

Sessions are in Italian and English — each one is labelled in the agenda, so you always know what you're walking into.

Is DevFest for you?

What makes DevFest different

In 2025 we brought together 300+ developers around 20+ sessions across 3 tracks.

Practical info

The Call for Speakers is closed and the committee is building the agenda — speakers and full program go live at 👉 https://2026.devfestmilano.it

LinkedIn: https://www.linkedin.com/company/devfestmilano/

See you in Milan. 🎉

Agenda

---

Hosted By

Davide Tresoldi, Organizer

Matteo Rocco, Analyst

Hi

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-cloud-milano-presents-devfest-milano-2026/.

Hacklab Cormano

GRUSP

PyVenice

Ci troviamo in #presenza giovedì 15 ottobre alle ore 19:00.

🗣 La scaletta non è ancora stata definita.

E dopo\, per chi vuole\, resteremo lì per \( 🍸 \| 🍺 \) e \( 🍕 \| 🍔 \)

📽 E se avete piacere di condividere idee, progetti, argomenti, o proporvi come prossimi speaker, lascio un form Google e la pagina Sessionize !

GRUSP

Hacklab Cormano

Coding Bunker

Per Hacktoberfest, Coding Bunker cambia formato: niente evento basato solo su talk e slide, ma un Hack Day hands-on dedicato alla creazione di progetti con tecnologie open source, open-source AI e modelli open-weight.

Non serve arrivare con un progetto già pronto. Anzi: secondo le regole ufficiali dell'Hacktoberfest Hack Day, il lavoro sul progetto presentato deve iniziare durante l'evento.

Come funzionerà

Durante l'Hack Day:

• Formazione dei team: potrai partecipare con altre persone, trovare un team direttamente durante l'evento o lavorare sulla tua idea
• Ideazione: scegliete un problema concreto da affrontare e definite il progetto
• Build: avrete diverse ore per progettare, sviluppare, testare e migliorare la vostra soluzione
• Open Source AI: i progetti utilizzeranno tecnologie open source e/o modelli AI open-weight
• Mentoring e confronto: durante la giornata potrai confrontarti con gli altri partecipanti e condividere approcci, problemi e soluzioni
• Project submission: al termine dell'Hack Day i team presenteranno il proprio progetto attraverso la piattaforma ufficiale OrganizerHQ Challenges
• Demo e judging: chiuderemo la giornata mostrando ciò che è stato costruito e valutando i progetti partecipanti

Non cerchiamo necessariamente il progetto più complesso.

Hacktoberfest Challenges

Coding Bunker partecipa al formato ufficiale Hacktoberfest Hack Day di Major League Hacking.

I dettagli delle challenge e degli eventuali premi verranno comunicati ai partecipanti prima o durante l'Hack Day.

Chi può partecipare?

Non importa se sei:

• developer
• QA / Quality Engineer
• DevOps / Platform Engineer
• architect
• data o AI engineer
• designer
• contributor open source
• oppure semplicemente curioso di sperimentare

Non è necessario essere esperti di AI o contribuire abitualmente a progetti open source.

Porta il tuo laptop, la voglia di costruire e qualche idea.

Programma

Il programma dettagliato sarà pubblicato a breve.

9:00 Accredito e check-in

9:45 Presentazione delle challenge e delle regole

10:15 Hack time

16:30 Demo dei progetti e judging

17:30 Networking

Registrazione

Come previsto dalle linee guida ufficiali Hacktoberfest, registrazione e check-in dei partecipanti verranno gestiti tramite OrganizerHQ.

Cos'è Hacktoberfest?

Hacktoberfest è un'iniziativa internazionale dedicata alla crescita e alla collaborazione nell'ecosistema open source.

Il Coding Bunker Hack Day fa parte del formato Hacktoberfest Hack Day, una giornata in presenza dedicata alla realizzazione di progetti attraverso un approccio da mini-hackathon.

Coding Bunker

Coding Bunker è una community dedicata alla Software Engineering e alla condivisione di esperienze concrete tra professionisti.

Questa volta, però, invece di parlarne soltanto...

Link Telegram

https://t.me/codingbunker

Nota legale

Partecipando all'evento, l'utente autorizza gli organizzatori a effettuare riprese fotografiche e video e a utilizzare il materiale raccolto per finalità di comunicazione, promozione e documentazione delle attività legate a Coding Bunker, Hacktoberfest e alla community.

PyData Venice

We’ll meet #InPresence on Thursday, October 22 at 7:00 PM.

👥 We’ll have two interesting sessions, in Italian 🇮🇹 or in English 🇬🇧 or one and one:

And afterwards\, for those who want\, we’ll stay there for \( 🍸 \| 🍺 \) & \( 🍕 \| 🍔 \) and #networking until late ‼️

📽 And if you’d like to share ideas, projects, topics, or propose yourself as the next speaker, here’s the usual Google form or Sessionize !

PNLUG

LUGMan

Da Confermare

Hacklab Cormano

GRUSP

GRUSP

LUGMan