Tqdm_nested_loops.ipynb

tqdm_nested_loops.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Tqdm_nested_loops.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMpxqriWtcYWGX+vHeZeQUz",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/simecek/0ee10e9d1fbc54c156b566386ca6806f/tqdm_nested_loops.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "onV5XiVy__ux",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from tqdm.notebook import tqdm"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CjagutS-AMIa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "k = 0\n",
        "\n",
        "for outer_loop in tqdm(range(20), desc='outer loop', leave=True):\n",
        "    for inner_loop in tqdm(range(10_000_000), desc='inner loop', leave=False):\n",
        "      k += 100"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}