{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Welcome to the world of Machine learning\n",
    "###### create the .venv environment form https://scikit-learn.org/stable/install.html\n",
    "###### use the .venv environment for the execution of the ipykernel\n",
    "###### first install scikit-learn, matplotlib, numpy, pandas, ipykernel in virtual environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape: (2, 3, 4)\n",
      "3D Array: \n",
      " [[[ 1  2  3  4]\n",
      "  [ 5  6  7  8]\n",
      "  [ 9 10 11 12]]\n",
      "\n",
      " [[13 14 15 16]\n",
      "  [17 18 19 20]\n",
      "  [21 22 23 24]]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "a = np.array([\n",
    "    [\n",
    "        [1, 2, 3, 4],\n",
    "        [5, 6, 7, 8],\n",
    "        [9, 10, 11, 12]\n",
    "    ],\n",
    "    [\n",
    "        [13, 14, 15, 16],\n",
    "        [17, 18, 19, 20],\n",
    "        [21, 22, 23, 24]\n",
    "    ]   \n",
    "])\n",
    "print(\"Shape:\", a.shape)\n",
    "print(\"3D Array: \\n\", a)"
   ]
  }
 ],
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   "display_name": ".venv",
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   "name": "python3"
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    "name": "ipython",
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