Join us on our May meetup hosted in collaboration with **Schiphol Group**! This meetup will be all about the challenges and opportunities when using Large Language Models (LLMs) in production environments. First Schiphol Group will demonstrate how they use LLMs for external usage to enhance customer care support. Afterwards Albert Heijn will show the power of LLMs by showcasing their internal LLM "Samurai", which is used for efficient information retrieval. Excited?! Join us on the 2nd of May 2024!

**SCHEDULE**

* 18:00-19:00: Welcome with food and drinks! (🍕 / 🍺)
* 19:00-19:45: **Talk 1 - "How Generative AI will bring Schiphol's customer care to new heights"**
* 19:45-20:00: Break
* 20:00-20:45: **Talk 2 - "Unleashing Samurai: How Albert Heijn is Making Content Retrieval Hassle-free for Employees"**
* 20:45-22:00: Networking / drinks!

**TALKS**

**\[Talk 1\]: “How Generative AI will bring Schiphol's customer care to new heights”** by Sebastiaan de Vries & Justin van Dongen
In this talk, Sebastiaan de Vries, Senior Data Scientist and Justin van Dongen, Data Engineer at Schiphol Group will elaborate on how Schiphol is enhancing customer care support through the implementation of domain knowledgeable Large Language Models (LLMs) with adequate guardrails via their online channels.
Justin will be presenting the centralised platform, the base of their future LLM applications that currently is realised and the vision they have for this foundation. Sebastiaan will delve into challenges faced in developing a customer facing model, the opportunities presented by leveraging LLMs, and the importance of implementing guardrails to ensure responsible AI usage. Furthermore, he will discuss the technical implementation, validation methods, and measurable impact of integrating LLMs in our day-to-day operations, along with desirable next steps of our newest digital agent.

**\[Talk 2\]: “Unleashing Samurai: How Albert Heijn is Making Content Retrieval Hassle\-free for Employees"** by Samuel Oyediran & Christiaan Rademan
Albert Heijn is transforming how employees search for information through the Samurai (SAM-your-AI) RAG application. This application was conceived during an AH Technology Hackathon and developed further by AH Gen AI Labs. Still in its pilot phase, Samurai has helped Dutch and non-Dutch-speaking colleagues across Albert Heijn efficiently access internal documentation using semantic search.

In the upcoming presentation, Samuel Oyediran, ML Engineer (Commerce) and Christiaan Rademan, ML Engineer (Digital), will provide insightful details on how Samurai was built.

**DIRECTIONS**
Hosted by Schiphol Group at their head office building at Evert van de Beekstraat 202, 1118 CP Schiphol. To arrive at the Schiphol Head Office building (see photo attachments for directions):

**Public transport**
From the railway station/Schiphol Plaza: exit the building and head for the buses. Take one of the Schiphol Sternet regional buses in the direction of Zuid-P30 from Platform B10 (lines 191, 195, 198) or B12 (lines 190, 192, 199). These buses run every 10 minutes throughout the day. Get off the bus at the Schipholgebouw [Schiphol Head Office building] stop (fourth stop). Journey time: 10 minutes.

**Walking**
From the railway station/Schiphol Plaza: walk along Schiphol Boulevard towards the Hilton Hotel and past The Base A,B,C office building. Walking time: 10 minutes.

**Car**
You can check in at the reception and you'll receive a free parking ticket. **NOTE: parking is not directly next to the office. You can park your car at P22 (see photo attachments for directions).**

PyData Amsterdam

Alexander Oude Elferink

Sk Imtiaz Ahmed

Shabab Karim

On the fly with AI: LLM action for customer care support & information retrieval

Koninklijke Schiphol Group

**Venue**: Riverbank House, 2 Swan Ln, London EC4R 3AD -
IMPORTANT: LOCATION UPDATED!
**Please note**:

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the **[NumFOCUS Code of Conduct](https://numfocus.org/code-of-conduct)**, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.

If you can no longer make it, please unRSVP as soon as you know.

***

**Code of Conduct**:
This event follows the **[NumFOCUS Code of Conduct](https://numfocus.org/code-of-conduct)**. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.

***

As always, there'll be free food & drinks, generously provided by our host, Man Group.

***

**Main Talks**

**Microsoft Fabric for Python Data Developers -** *[Barry Smart](https://twitter.com/barry_j_a_smart)*
Fabric is a major new development from Microsoft where Python is treated as a first class citizen. This talk will provide an overview of Microsoft Fabric through the lens of a Python Data developer, with demos showing how Python can be used to build cloud native, enterprise grade data pipelines on the platform. It will also touch on concepts such as lakehouse, data mesh, medallion architecture and star schemas - all fundamental building blocks of a modern cloud native data architecture.

**Desert Island Docker: Python Edition** - *[Andrew Collier](https://twitter.com/datawookie)*
What 3 Docker images would you choose if you were shipwrecked on a desert island? Choosing the right images will determine whether you are rescued or end up in a cannibals' cooking pot (Python images will make you particularly unpalatable).

Docker is an essential tool for survival as a Python developer, regardless of whether you are stranded or not. In this talk I'll describe three Python Docker images that I consider essential for survival on a desert island. I'll demonstrate how to set up and build a custom image. And finally I'll demonstrate how using a Docker image can simplify CI/CD and deployment.

**⚡ Lightning Talks**
**1️⃣ Why You Should Be Afraid of Pickles** - *Rikard Anglerud*

**2️⃣ ASCII Art with Python -** *[Hugh Evans](https://www.linkedin.com/in/hugh-evans-435134153/)*

**Logistics**
Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with!

Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!

Follow **[@pydatalondon](https://twitter.com/pydatalondon)** (https://twitter.com/pydatalondon) for updates and early announcements.

PyData London Meetup

Ian Ozsvald

Malgorzata  Szeszo

Jessica Walkenhorst

PyData London - 85th Meetup

EC4R 3AD

DataScience and AI: in person in Karlsruhe and live on PyData.TV on YouTube

**Agenda**
18:00 Doors open
18:30 Welcome
18:45 **Kickstart Coding at Scale – How Project Template Automation unlocks Developer Productivity - Adrian Freund, Pavel Zwerschke, Bela Stoyan (QuantCo)**
19:15 Break: Networking with snacks and beverages
20:15 **Dask DataFrame is fast now (Coiled)**
20:45 Lightning Talks
21:00 Networking with snacks and beverages
21:30 End
**Lightning Talks**
Join us by contributing a five-minute lightning talk!
Fill out [this form](https://bit.ly/pydata-sw-talk).
**How to sign up for on site**
It's important for us to make this meet up happen in a responsible way. We have limited seats available only.
**No limits to sign up remotely!**
**How to join remotely**
Join the[ live stream on YouTube](https://www.youtube.com/@PyDataTV).
This event will be in English.
\-\-\-\-
Talk #1
**Kickstart Coding at Scale: How Project Template Automation Unlocks Developer Productivity** **– Adrian Freund, Pavel Zwerschke, Bela Stoyan (QuantCo)**

As your company grows, often so does your software landscape. Setting up each repository from scratch quickly leads to a fragmented ocean of project and ci setups that basically solve the same problems. For this, we came up with a standardized customizable internal project template that we use for all new projects. To operate this effectively at scale, we also came up with a solution to automatically migrate existing projects to newer versions of the template. This lets our developers focus on what they do best, writing code, and not getting stuck on boilerplate while still giving them the option to later deviate from the standard setup if needed.
**Adrian Freund** is a working student in developer tools and is currently studying computer science at Karlsruhe Institute of Technology. One of his most popular OSS contributions is the support for the *match* statement in mypy.
**Pavel Zwerschke** is a Data Engineer focused on building platforms for Data Science development. As part of his work, he is working on packaging topics, especially the adoption of pixi in the wider scientific Python community.
**Bela Stoyan** is technical staff working on the intersection of Data Science and MLOps. He enables Data Scientist to write data pipelines and helps them to bring them to production systems.

Talk #2
**Dask DataFrame is fast now - Florian Jetter (Coiled)**

Dask is a library for distributed computing with Python that integrates tightly with pandas. Historically, Dask was the easiest choice to use (it's just pandas) but struggled to achieve robust performance (there were many ways to accidentally perform poorly). The re-implementation of the DataFrame API addresses all of the pain points that users ran into. We will look into how Dask is a lot faster now, how it performs on benchmarks that is struggled with in the past and how it compares to other tools like Spark, DuckDB and Polars.
**Florian Jetter** is leading the Dask Engineering team at Coiled Computing. He is a long term dask core maintainer and is an expert in distributed cloud computing and data storage
\-\-\-\-
Lightning Talks:
1\. Jakob Miksch \- Processing OpenStreetMap data with PostgreSQL using osm2pgsql
2\. Tim Berti \- A case study of custom kernels
3\. Natalia Mokeeva \- Find the best strategy to get involved in Open Source

**Acknowledgements**
Also a big thank you to our sponsors:

* [QuantCo](https://www.quantco.com/), for hosting the meetup.
* [PIONEERS HUB](https://pioneershub.de), for organising.
* [NUMFOCUS](https://numfocus.org/), for promoting open source software.

**Contact**
If you have any questions or suggestions, please feel free to contact us via:

* Meetup
* Want to speak? [Submit a talk here](http://bit.ly/43QBJkn).
* Interested in hosting an event? Here's our [Info-Deck](https://bit.ly/pydata-sw-infodeck) & [contact to the organisers](https://www.linkedin.com/groups/12851256/)!

PyData Südwest

Alexander C. S. Hendorf

Uwe Korn

Pavel Zwerschke

PyData Karlsruhe -  Coding at Scale | Fast DataFrames

QuantCo Deutschland GmbH

Date set!

Join us once again for the next PyData Bristol Meetup!
We’re meeting in a lovely venue [Amdaris](https://amdaris.com/)!! Big thank you for hosting our event this time.
Massive thanks to our other sponsor - [Adlib](https://www.adlib-recruitment.co.uk/) for the scrumptious pizza, and thirst-quenching refreshments.
Here is an intro from out new hosts!

*Hi, We are Amdaris, an Insight company, and at our core we specialise in extending teams with highly skilled software experts. With bespoke Software Development, Product Design, Strategy and Consultation, Managed Services and Data Solutions, we seamlessly integrate into your business and culture, bringing passion, care, and technical proficiency directly to you.*

Agenda for the evening:
🚪 6:00 pm - Doors open
🕡 6:30 pm - Talks commence (sharp!)
📚 25-minute talks:

* TBA

Lightning talks:

* TBA

📢 Community announcements
🤝 Relaxed networking over beers and soft drinks
Interested in sharing your knowledge or experience at this or a future event? Fill out this form to submit your talk proposal: [PyData Bristol Talk Proposal](https://goo.gl/forms/8lsz1WA1986Ahbbs1)
We look forward to seeing you there for another fantastic evening of Python, Data Science, and camaraderie!
‌
‌

# **Talks**

## **TBA**

# **Lightning Talks**

## **TBA**

‌
🕖 **LOGISTICS**
Talks kick off at **18:30** sharp; then networking in Left Handed Giant from **20:40.**
**If you realise you can't make it**, please un-RSVP in good time to free up your place for your fellow community members.
Follow @‌pydatabristol ([PyData Bristol (@PyDataBristol) / X](https://twitter.com/pydatabristol)) for updates on this and future events, as well as news from the global PyData community.
📜 **CODE OF CONDUCT**
The PyData Code of Conduct governs this meetup ([Code of Conduct](https://pydata.org/code-of-conduct/)
). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Bristol organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS ([NumFOCUS Code of Conduct Report Form](https://numfocus.typeform.com/to/ynjGdT)).

## Speakers

**TBA**

PyData Bristol

David Greenwood

Alistair Rogers

Alon Samuel

PyData Bristol - 28th Meetup - 16th of May!

Amdaris

Join us at PyData Kampala for an interactive workshop on Deep Learning. This is an exciting opportunity for both beginners and experienced individuals in the field of deep learning to come together and learn, grow, and share knowledge.

Starting 17th May 2024, We will hold regular meetups where the Instructor and participants can connect, discuss progress, and work on projects together. lastly, the Instructor will guide participants in working on real-world deep learning projects, providing hands-on experience.

The program is designed to foster a supportive and collaborative learning environment. It aims to connect individuals who are passionate about deep learning and artificial intelligence, regardless of their current skill level.

We look forward to having you join our Deep Learning Program and embarking on this exciting learning journey together!

PyData Kampala

Ernest Kabahima

Kakaire Steven

Hassan mubiru

Deep Learning for Structured Data

Online event

PyData

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This group is operated by NumFOCUS, Inc. PyData is a program of NumFOCUS, a U.S.-based 501(c)3 non-profit. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including Python, Julia, R, and more.

The PyData Code of Conduct (http://pydata.org/code-of-conduct.html) governs this meetup. You can submit a report of any potential Code of Conduct violation here: https://numfocus.typeform.com/to/ynjGdT 

Thanks for making PyData a welcoming and friendly community!

NumFOCUS, Inc.

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