{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "922e3191-647e-4e0a-8d0c-8a2d3237ee5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"test...\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "94a8b586-7825-483d-8fbe-a70e3d29d81f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/rootx/Desktop/KTU/Dersler/EHM4011 Goruntu Isleme/code/venvImageProcessing2026/bin/python3'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.executable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "47f417a5-5ac1-44f2-ab10-6f73291b48e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://www.edureka.co/blog/wp-content/uploads/2018/10/Jupyter_Notebook_CheatSheet_Edureka.pdf"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}