@datalayer/core/lib/examples/NotebookExample1.ipynb.json

**Datalayer Core**

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": ["2"]
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": ["1+1"]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "datalayer": {
          "_about": "AI Platform for Data Analysis"
        }
      },
      "outputs": [
        {
          "data": {
            "text/plain": ["4"]
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# I am a Python cell.\n",
        "print('2+2')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
      },
      "outputs": [
        {
          "data": {
            "text/plain": []
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# import micropip\n",
        "# await micropip.install('ipywidgets')\n",
        "from ipywidgets import IntSlider\n",
        "w = IntSlider()\n",
        "w"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
      },
      "outputs": [
        {
          "data": {
            "text/plain": []
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "w"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "datalayer": {
          "sql": true
        }
      },
      "outputs": [
        {
          "data": {
            "text/plain": [""]
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "-- I am a SQL cell.\n",
        "SELECT * FROM LOGS"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python (ipykernel)",
      "language": "python",
      "name": "python"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.4"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 4
}