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this is a test for an article around a freshly published paretos YouTube video

# `data_analysis` - all data analysis of customer projects in one place
**NOTE**: **First read** `docs/project_structure.md` to learn about the project setup.
## Getting Started
### Pre-requisites
* Python 3.9
* poetry
**READ THIS FIRST:**
[Instructions: how to setup poetry and paretos-pypi](https://www.notion.so/Private-Python-Packages-f12fcafa1f134ce08c0ca737d1b86afc#358913726e6c4c4eb78f1ef4a1d643cf)
### Preparation on Mac
Mac M1 sometimes causes issues.
Please first read the [instructions for setup on Mac](https://www.notion.so/Poetry-Setup-9ac69394e7114277b8468c6a848a1bb5#2777f35c0f89499988305803c91a4e24)
before following the general setup.
### Setup
```bash
make
make prj-init
```
If that does not work, execute those commands manually. This requires poetry to be set
up properly, visit Notion or the poetry documentation to find out how to.
```
poetry --version
poetry config virtualenvs.in-project true
poetry install -n
poetry run pre-commit install
poetry run pre-commit run --all
poetry run pytest
```












## This program prints Hello, world!

print('Hello, world!')
select * from json_populate_recordset(null::record,'[{"id_item":1,"id_menu":"34"},{"id_item":2,"id_menu":"35"}]')
 AS
 (
    id_item int
    , id_menu int
 )

An dieser Stelle setzt paretos neue Maßstäbe. Das deutsche Tech-Start-up macht Analyseprozesse für Unternehmen so leicht zugänglich und integrierbar wie ein E-Mail-Programm. Mithilfe eines KI-basierten Software-as-a-Service-Tool können Firmen, vom Mittelständler über Start-Ups bis hin zu Großkonzernen, umfangreiche Datenanalysen ohne Vorkenntnisse oder die Expertise von Data-Science-Spezialisten durchführen.

test caption

An dieser Stelle setzt paretos neue Maßstäbe. Das deutsche Tech-Start-up macht Analyseprozesse für Unternehmen so leicht zugänglich und integrierbar wie ein E-Mail-Programm. Mithilfe eines KI-basierten Software-as-a-Service-Tool können Firmen, vom Mittelständler über Start-Ups bis hin zu Großkonzernen, umfangreiche Datenanalysen ohne Vorkenntnisse oder die Expertise von Data-Science-Spezialisten durchführen.

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