run.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "993e80f5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2mAudited \u001b[1m3 packages\u001b[0m \u001b[2min 6ms\u001b[0m\u001b[0m\r\n"
     ]
    }
   ],
   "source": [
    "!export UV_NO_REPLACE=1 uv venv\n",
    "!uv pip install notebook ipython pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f440f6de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting data.csv\n"
     ]
    }
   ],
   "source": [
    "%%writefile data.csv\n",
    "name,revenue\n",
    "Jordi,200\n",
    "Hans,100\n",
    "Sven,300\n",
    "Jonas,120"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fe2cd140",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    name  revenue\r\n",
      "0  Jordi      200\r\n",
      "1   Hans      100\r\n",
      "2   Sven      300\r\n",
      "3  Jonas      120\r\n"
     ]
    }
   ],
   "source": [
    "!uv run run.py"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

run.py

import pandas as pd

df = pd.read_csv("data.csv")
print(df)