FREE EVENT - scroll down to register

Python talks! Python people! Discussions from how to start learning Python through to debugging your robot pirate spaceship avionics controller library.
If all goes well there will also be pizza and drinks.

• We meet every first Monday of a month at 6pm.
• 📌 Space is limited at the venue, so please only register (it's free) if you really intend to come.
  Also, as we will aim to provide some food and drinks, this will help us manage amounts and avoid waste. Thank you!
• Join our Slack channel #meetup-auckland on the Python New Zealand Slack to stay up to date, interact with others or help with upcoming events.
• Python New Zealand's Code of Conduct applies to all Python New Zealand events and participants agree to abide by it.

Maybe you?
All presentations are by members of our Python community - people like yourself!
First time speakers are absolutely welcome.
If you'd like to present at one of the next meetups, please fill out this form and we will help schedule you in.

Presentations

Samuel Odukoya: Your journey learning Python

In this talk, I’ll share how I began learning Python through a data science class, then moved into web development with guidance from a SAIL Innovation Lab graduate. I built several websites, trained others, and later earned a scholarship at SAIL to study Generative AI. After a Python refresher course and months of hands-on learning, I worked on AI projects aimed at solving real-world problems.

From basic data wrangling to building intelligent systems and web tools, I’ll walk through the challenges, key resources, and real-life applications that shaped my growth. Python became a key tool in my journey as a Generative AI Engineer and ICT Manager. Whether you’re just starting out or looking for inspiration, I hope my story encourages you to explore Python’s potential in your own field.

Zach van Dorp: Python in practice as a Data, AI & Automation Consultant

I will showcase how Python has been applied in the solutions I have created for the clients of Artemis Software & Analytics (www.artemisai.co.nz). All solutions incorporate packages such as those used for data science including Numpy, Spacy, Pandas, SKLearn and XGBoost.

If you any questions or issues, please contact the organiser via email auckland@python.nz