**Mike Kittridge: Rechunking multi-dimensional data**

PyTHon every THird THursday of a month at 6pm.

* 📌 Please **RSVP** if you intend to participate
* 📌 Please **remove your RSVP** if you will not participate
* **Space is limited** at the venue, and we don't want to turn someone away because another person RSVPed who will actually not be present.
* Also, as we will provide some food and drinks, this will help us manage amounts and **avoid waste**. Thank you!

Join our channel *#meetup-wellington* on the [Python New Zealand Slack](https://python.nz/get-involved/chat-with-the-community/) to stay up to date, interact with others or help with upcoming events.

**Mike Kittridge: Rechunking multi-dimensional data**
**Large datasets (like country-wide weather models) store data as smaller chunks for a variety of beneficial reasons. The chunk shape and size are optimised based on the creator's assumed use cases, but there are many use cases where the original chunking is not ideal. Efficient rechunking to a new chunk shape and size is important to ensure effective use of resources.**

Python talks! Python people! Discussions from how to start learning Python through to debugging your robot pirate spaceship avionics controller library. Or whatever. There is also pizza and soft drinks and BEER. :)

📌 If you'd like to present at one of the next meetups, [please fill out this form](https://forms.gle/2DsixUFLZf1W94ae6) and we will help schedule you in. (Don't worry, we only stream/record/publish your presentation if you want to!)

First time speakers are absolutely welcome. We can help you with your presentation. Just let us know.
What kind of topics can you speak about?

* Something you've been working on using Python
* A neat Python trick you learned
* Your journey learning Python
* Something new you have created with Python
* Running Python on embedded devices
* Contributing to open source projects

Python New Zealand's [Code of Conduct](https://python.nz/about/code-of-conduct/) applies to all Python New Zealand events and participants agree to abide by it.

Python New Zealand - Wellington

PythonNZ

Dan Rajasekaran

Mike Kittridge

Prab Singh

Ricky Fong

eganxhart

Gagan Virk

christopherjones09

camelliabi

Aaron Lee

Jennifer

Tram Nguyen

Melek

Chi Leung

Youyi

Payal Dhiman

Silvina Pugliese

Zahid Y

Weiwei Sun

Duy Nguyễn

Wellington Python Meetup

Sharesies

*A special thanks to MIT Hacking Medicine, the sponsors of this month's event. They'll be joining to tell us about "Siraj x MIT Hacking Medicine 2025" - a hackathon for exploring healthcare solutions hosted by Siraj Hospital and Massachusetts Institute of Technology (MIT).*

**#1 -** **Getting things done with AI: learnings from building across domains - Prateek** **Jogani** **(CTO, Qoala)**: Prateek has built products across domains \- from edtech\, health\-tech\, music\-tech to insurtech\. He's codifying all his learnings into playbooks for building products and accelerating development with AI\. Most recently he co\-founded Vouch \| FairDee\, which merged with Qoala in 2020\, helping to scale it from <$20M to $270M\+ in GWP\, leading product and engineering through acquisition\, international expansion\, and $100M\+ in funding\.

**#2 - Building a lightweight async job runner with asyncio and postgres - Miguel Rebelo** **(Aptiode)**: Task schedulers in the Python ecosystem often fall short when it comes to support for asynchronous workloads and come with some tough tradeoffs: they're often heavyweight (celery), don't scale well horizontally (APSscheduler) or are in memory only. Miguel is developing an open source library that's both lightweight and async first, in this talk he'll introduce us to the problem and share his experience contributing to the Python ecosystem.

* 18.30: Top floor of the Royal Oak, Suk 33/1 (BTS Phrom Phrong).
* 18:30: Arrive and mingle at the venue. ThaiPy is a free event for anyone that's interested in Python from the py-curious to experts. Snacks sponsored by MIT Hacking Medicine.
* 19:00: 2 Short talks (10-25min each)
* 20:00: Lightning talks (anyone can, capped at 5min per talk)
* 20:30 - late: For optional networking and socialising, stick around.

**Interested in speaking at future events?** - [https://lin.ee/y01pvKl](https://lin.ee/y01pvKl)
We are also interested in those wanting to present (10-15min short presentations, or 5min lightning talks). Please contact via meetup, the line link above, or ask one of our organizers at our monthly event.
**New to the Python? Thinking about attending ThaiPy?**
Python is one of more popular programming languages ​​in the word and rising further, being used in fields such as web, science, big data, dev-ops and digital entertainment. We have talks from beginners to advance and provide a friendly atmosphere to meet and network with your fellow pythonistas. Whether you're just getting started or you're an seasoned developer you'll learn something new every time.

ThaiPy - Bangkok Python Meetup

Devin Moore

Gonzague PATINIER

Matthew Mitchell

Manuel

Hani Bidabad 

Daniil Kharkov

Shiyuan Yang

Stefan Witchell

Andy Clegg

Somsak​ Sooksripanich​

Paul Tobias

grace perry

Kevin Chu

Nanchaya sanphan

Charlie Phairojmahakij

BIllet

Anan charoenpong

Oleksandr P.

ThaiPy #116: CTO’s AI Playbooks + Async-First Job Runner

Event Space at Royal Oak (4th floor)

Join Fay Shaw for a practical, hands-on session focused on data preprocessing — an essential step in any data science or machine learning workflow. Whether you’re new to data science or looking to streamline your current process, this session will introduce actionable tools, techniques, and tips to help you clean, transform, and prepare your data effectively.

Fay will walk through a real-world example using data from *Belmin et al.’s* 2022 Nature paper, **[LivWell: a sub-national dataset on the living conditions of women and their well-being for 52 countries](https://url.us.m.mimecastprotect.com/s/Ux7QC31JO8I7QzDofgfwsQFMfr?domain=nature.com)**. This dataset includes 265 indicators across 447 regions in 52 countries, offering a rich foundation for practical demonstration.

Participants will learn how to:

* Explore and filter data using DataFrame functions
* Clean and manipulate strings
* Apply common transformation techniques
* Structure data for downstream analysis or machine learning

**Prerequisites:** Basic familiarity with Python and working in Colab or Jupyter notebooks.

Link to materials: [https://github.com/fayshaw/data_preprocessing](https://github.com/fayshaw/data_preprocessing)

PyLadies Boston

Fay Shaw

kayegamboa24

PriyankaGagneja

Diana García

Sammy Klasfeld

Sidra Effendi

Sarah R McLaughlin

Priscila

Lisa

Shivani Gole

Laura Cathey

Liz Landa

Marianna Foos

Olga Kyzylova

Emily L

Courtney Fowler

Freya

Manaal Syed

Leeanne Marie

Data Pre-Processing Best Practices with Pyladies Boston & Women in Data

Online event

𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧?
This month we're diving into AI Engineering. Join us this August 23 for a back-to-back session on NLPOps and AI Agents.

🚀 𝐅𝐫𝐨𝐦 𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 𝐭𝐨 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧: 𝐍𝐋𝐏 𝐎𝐩𝐬 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 — Learn how to take NLP projects from concept to deployment. We’ll cover pipeline design, model management, scalability, and maintainability. Build up skills to turn prototypes into robust, production-ready systems.

🧠 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐅𝐢𝐫𝐬𝐭 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 — Turn an LLM into a smart, task-driven assistant. You’ll create a working AI agent with LangGraph, set up decision flows, connect real-time tools like web search, and build a Research Assistant Agent that chats, finds information, and responds intelligently.

🗓️ Date: August 23, 2025
🕛 Time: 12:30PM - 5:00PM
📍 Venue: Mugna Tech, Marfori Subd.
🎟️ Registration fee: PHP 100

🔗 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝? 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐧𝐨𝐰:
https://forms.gle/1yhYYLRw9b1841r96

𝐈𝐧 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 𝐰𝐢𝐭𝐡:
Mugna Tech
Data Owls of the University of Mindanao

[#DurianPy](https://www.facebook.com/hashtag/durianpy?__eep__=6&__cft__%5B0%5D=AZXAYG0Etjk64iL8zZn-mj42KuzlhNKFTUQQaTj_EC5qr6_BT-Sfk38XAyWJe7T5KYxVlI6IlbPEa5yaRbFdNa4N4KkqaTJeBzPE5T8hnDJow0MJbFRC4y6JG8PLGtS5mgFf_T71YJAl4LNC_-MRj2ShptSooU8aWCeHf-qxBieArc8eecUp6MzKK82dso0Pnas&__tn__=*NK-R) [#AICohort](https://www.facebook.com/hashtag/aicohort?__eep__=6&__cft__%5B0%5D=AZXAYG0Etjk64iL8zZn-mj42KuzlhNKFTUQQaTj_EC5qr6_BT-Sfk38XAyWJe7T5KYxVlI6IlbPEa5yaRbFdNa4N4KkqaTJeBzPE5T8hnDJow0MJbFRC4y6JG8PLGtS5mgFf_T71YJAl4LNC_-MRj2ShptSooU8aWCeHf-qxBieArc8eecUp6MzKK82dso0Pnas&__tn__=*NK-R) [#Davao](https://www.facebook.com/hashtag/davao?__eep__=6&__cft__%5B0%5D=AZXAYG0Etjk64iL8zZn-mj42KuzlhNKFTUQQaTj_EC5qr6_BT-Sfk38XAyWJe7T5KYxVlI6IlbPEa5yaRbFdNa4N4KkqaTJeBzPE5T8hnDJow0MJbFRC4y6JG8PLGtS5mgFf_T71YJAl4LNC_-MRj2ShptSooU8aWCeHf-qxBieArc8eecUp6MzKK82dso0Pnas&__tn__=*NK-R) [#AIEngineering](https://www.facebook.com/hashtag/aiengineering?__eep__=6&__cft__%5B0%5D=AZXAYG0Etjk64iL8zZn-mj42KuzlhNKFTUQQaTj_EC5qr6_BT-Sfk38XAyWJe7T5KYxVlI6IlbPEa5yaRbFdNa4N4KkqaTJeBzPE5T8hnDJow0MJbFRC4y6JG8PLGtS5mgFf_T71YJAl4LNC_-MRj2ShptSooU8aWCeHf-qxBieArc8eecUp6MzKK82dso0Pnas&__tn__=*NK-R) [#Workshop](https://www.facebook.com/hashtag/workshop?__eep__=6&__cft__%5B0%5D=AZXAYG0Etjk64iL8zZn-mj42KuzlhNKFTUQQaTj_EC5qr6_BT-Sfk38XAyWJe7T5KYxVlI6IlbPEa5yaRbFdNa4N4KkqaTJeBzPE5T8hnDJow0MJbFRC4y6JG8PLGtS5mgFf_T71YJAl4LNC_-MRj2ShptSooU8aWCeHf-qxBieArc8eecUp6MzKK82dso0Pnas&__tn__=*NK-R) [#NLPOps](https://www.facebook.com/hashtag/nlpops?__eep__=6&__cft__%5B0%5D=AZXAYG0Etjk64iL8zZn-mj42KuzlhNKFTUQQaTj_EC5qr6_BT-Sfk38XAyWJe7T5KYxVlI6IlbPEa5yaRbFdNa4N4KkqaTJeBzPE5T8hnDJow0MJbFRC4y6JG8PLGtS5mgFf_T71YJAl4LNC_-MRj2ShptSooU8aWCeHf-qxBieArc8eecUp6MzKK82dso0Pnas&__tn__=*NK-R)

DurianPy - Davao Python User Group

Alex Neal Albinda

Arnel Jan Sarmiento

Xander Jay Cagang

CM Mendez

jhazlyn.sy

Bien Earl Manalo

maxfrnz17

Rey Marvin Rizal

Dannie Napala

Vonne Sumbeling

Cassey Gempesaw

James David Matoy

Prince Bryan Dandin

shainelucero840

o.beverlynicole

marvie

Jaymee Rosales

Shijme Pacheco

Honey Grace

AI Engineering Workflow: NLP Ops & Agents with LangGraph

Mugna Tech

We are continuing our Study group online for the time being.
We are now meeting online in the San Diego Python Discord server! Here is the link to join: [https://discord.gg/8GpWuVvdbQ](https://discord.gg/8GpWuVvdbQ)
There is a "meetup" voice/video channel that we will be using!

We may start meeting in person soon! This will be discussed at the meetup. We are considering having some online, some in-person. Decisions, decisions!

Every Saturday we meet up with the larger Python community (including San Diego PyLadies (http://www.meetup.com/sd-pyladies), Open BioInformatics San Diego (https://www.meetup.com/Open-Bioinformatics-SanDiego/) and San Diego Artificial Intelligence (https://www.meetup.com/SanDiegoAI/)) to chat, learn, and hang out.

Our study group is for everyone on their Python journey, whether you're just starting out, an experienced pro, or anywhere in between. There's no formal instruction, just a bunch of folks who like to code. Sometimes we talk about a specific subject, sometimes answer questions, whatever!

Python Community Code of Conduct (http://www.pythonsd.org/coc): Python is much more than a software language. Python is a vibrant community made up of members from around the globe with a diverse set of skills, personalities, and experiences. It is through these differences that our community experiences great successes and continued growth. Overall, we're good to each other. We contribute to this community not because we have to, but because we want to.

San Diego Python Users Group

David Fischer

David Lord

Diane Chen

Jorge L Gimeno

Melanie Arbor

veersaraf1

Hakeem Folami

ravikishore.kota1

Alex M

NY Entrepreneur

ahad rahemani

Mike Denver

Farah Lourie

Steven

Online: SD Python Saturday Study Group

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