Ever needed to explain pandas? Now, in the era of LLMs explaining how libraries work might seem challenging and almost meaningless. These slides explain basic concepts showing how to work with pandas with LLMs. Syntax might have lost its importance, but these basics are critical when working with data - independent of the tools.
These slides can be used to create a narrative for:
- 📐 architects & engineers
- 👗🎨 designers
- 🌃 urban planners
- …people from humanitarian backgrounds even though examples are not tailored for them
What to expect:
- 🎨 visual explanation
- 🌃 AEC examples
Wrong place to look for:
- 🧾lots of text
- ➕math formulas
- ⭐ fancy buzzwords
- 🏃🏼♀️ learning shortcuts - quality is a thing here:)
This material can be presented with exercises on Airbnb Open Data dataset.
Suggested steps:
- presentation ~20min
- explaining colab - optional ~5min
- explaining git - semioptional ~10min
- breakout rooms: 3-4 people, writing down what they understand from looking at the table (semantically) - and comparing it with what an LLM tells. Understanding the gaps.
- work in with the dataset in a notebook 👇🏼
Note: this tutorial has been used as a learning material at IAAC, in MACAD bootcamp.