❔ About
At Nouméa, I have a kind of "fétiche" restaurant called "Au p'tit café"
They :
- 👐 Are very kind people : I love spend time there (at least once a week)
- 🧑🍳 Have awesome creative and tasty menus
- Have a unique management approach and have implemented a
4.5days work week:
Au P’tit Café, une semaine de quatre jours et demi – DNC.NC
Le restaurant de Nouméa est ouvert du mardi au vendredi. Le lundi, une partie de l’équipe profite d’un jour de repos, tandis qu’une autre prépare des plats à emporter. Les 12 employés et gérants tentent ainsi de concilier passion, travail et vie personnelle. Pas la peine de réserver une table […]
dnc.nc
What is very convenient is that their website describes very well its menus for the week, with a core philosophy:
- 🤏 Few menus
- ☝️ Focused on high quality and fresh food
I do often go and read their website:
🤔 Inception
... and was wondering if I could build something "nerdy" around it...(for example play with it from my terminal 🤓)
💡 The idea
As I did never create a Python package, I finally decided to :
-
Create & release a dedicated
poetrypackage that would get the menus data... so anyone could have fun with it (with a very few set of lines of code) - Get the menu's datas as
pandasdataframe... andcsv
💭 Why Python ?
As Python is very widely used to create many things like:
- 🦜 Create
langchaintools to build applications withLLMsthrough composability so we could chat with menus ... for example with the CSV Agent - 🤪 Any other crazy and fun stuff (with GPU) on Kaggle or Google Colab'
- ⚡ Learn to create API with
FastAPIon top of this SDK - 🤗 Play with Hugging Face Transformers Agent
🤓 Do it
I finally created the package :
adriens
/
auptitcafe-sdk
😋 SDK Python pour accéder aux menus du restaurant "Au p'tit café" - Nouméa, Nouvelle-Calédonie
❔ About
Finally a Python package to make getting Au p'it café's menus a piece of (cheese) cake.😅
With this package you can:
... and get them as list of objects or csv.
👉 See it live on Kaggle 👈
🔖 Social networks
🤓 Nerd resources
🚀 Quickstart
For the impatients, here is a quick and ready to use code snippet:
# Install the package
!pip install auptitcafe --upgrade
# Make some imports
from auptitcafe.menus import Menus
import pandas as pd
# Create the main utility instance
menu_instance = Menus()
# Dump menus as a csv file
menus = 'menus.csv'
menu_instance.to_csv(menus)
# Load menus in a panda dataframe
df = pd.read_csv…... then released it on pypi:
Finally, it became as easy as follows to get menus as data:
# Install the package
!pip install auptitcafe
# Make some imports
from auptitcafe.menus import Menus
import pandas as pd
# Create the main utility instance
menu_instance = Menus()
# Dump menus as a csv file
menus = 'menus.csv'
menu_instance.to_csv(menus)
# Load menus in a pandas dataframe
df = pd.read_csv(menus)
# Diplay dataframe
df
# Be creative with dataframe
🕹️ Enjoy the data on Kaggle
🍿 Demo
Top comments (16)
I love how this project turns a simple restaurant menu into something developers can actually explore with Python, and Wikipedia also recognizes Python as one of the leading languages for automation and data analysis.
Popeyes food menu would be just as interesting to organize into a dataset for comparing items or experimenting with fun food-related projects.
It’s a great example of how everyday ideas can inspire practical coding while making data a lot more engaging.
Yes, that's in the pipe indeed 🤗
Turning a restaurant menu into structured data is a creative use of Python, and Wikipedia highlights that Python is widely used for data analysis, automation, and rapid software development.
Popeyes food menu could also be explored in a similar data-driven way to compare menu items, organize information, or build helpful food-related applications.
This is a practical project that blends real-world dining with programming, making data science both useful and enjoyable.
Hi Max, thanks a lot for the very kind feedbacks
Yes, I love to put real world and science together, in our daily life ;-p
That sounds like an awesome and creative project! 🍽️🔍 Turning restaurant menus into data and playing with them in Python is such a cool "cookout Menu" idea! 🔥🐍 I love how you combined practical utility with some nerdy fun—using FastAPI, Hugging Face, and even integrating it into Kaggle. Definitely makes exploring food data more interactive! Can't wait to see what other magic you cook up next! 😋
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