diff --git a/Rahul_first_code.ipynb b/Rahul_first_code.ipynb
new file mode 100644
index 0000000..a18e85d
--- /dev/null
+++ b/Rahul_first_code.ipynb
@@ -0,0 +1,322 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "gpuType": "T4",
+ "authorship_tag": "ABX9TyPJn66wMDDpD27dRu/UsMSo",
+ "include_colab_link": true
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "accelerator": "GPU"
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "F34puM1fir0A",
+ "outputId": "27b49286-9557-48b2-e2a7-8036c1f05465"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "1.5.3\n",
+ "1.23.5\n",
+ "All the libraries have been imported\n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "print(pd.__version__)\n",
+ "import cv2\n",
+ "import numpy as np\n",
+ "print(np.__version__)\n",
+ "import sys\n",
+ "import os\n",
+ "print('All the libraries have been imported')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import cv2\n",
+ "print(cv2.__version__)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "Q-VHyegOo7b5",
+ "outputId": "990c67e9-f612-4767-db1d-015ee9cf5b3b"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "4.8.0\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "akka=[ii for ii in range(100)]\n",
+ "amma=np.arange(len(akka))\n",
+ "amma"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "LjSUEwHklCUO",
+ "outputId": "97b90c14-6aa1-4f32-f94d-185c6a4e4563"
+ },
+ "execution_count": 11,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,\n",
+ " 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,\n",
+ " 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,\n",
+ " 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,\n",
+ " 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,\n",
+ " 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99])"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 11
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "ys = 200 + np.random.randn(100)\n",
+ "x = [x for x in range(len(ys))]\n",
+ "\n",
+ "plt.plot(x, ys, '-')\n",
+ "plt.fill_between(x, ys, 195, where=(ys > 195), facecolor='g', alpha=0.6)\n",
+ "\n",
+ "plt.title(\"Sample Visualization\")\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 452
+ },
+ "id": "7gYW8wvwlCRM",
+ "outputId": "4d03397c-0c02-49ef-a20d-39f6b5d21f7b"
+ },
+ "execution_count": 13,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import numpy as np\n",
+ "total_no_columns=10\n",
+ "total_no_rows=100\n",
+ "amma=['R_'+str(ii)+'_S' for ii in range(total_no_rows)]\n",
+ "akka=pd.DataFrame()"
+ ],
+ "metadata": {
+ "id": "95cmhXFuqe2f"
+ },
+ "execution_count": 14,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "column_name=['Rahul'+str(ii) for ii in range(total_no_columns)]\n",
+ "for ii in column_name:\n",
+ " akka[ii]=amma\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "GgwpDLoMsjJu",
+ "outputId": "306340ee-555f-459d-ffa7-f3f732dde819"
+ },
+ "execution_count": 24,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "0 [0]\n",
+ "1 [1]\n",
+ "2 [2]\n",
+ "3 [3]\n",
+ "4 [4]\n",
+ " ... \n",
+ "95 [9, 5]\n",
+ "96 [9, 6]\n",
+ "97 [9, 7]\n",
+ "98 [9, 8]\n",
+ "99 [9, 9]\n",
+ "Name: Rahul0, Length: 100, dtype: object"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 24
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "NRwmyDzVrO4-"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "dDiWGGcNrOu-"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "BsIpwkiSrOey"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [],
+ "metadata": {
+ "id": "1NbMFP5xoRGC"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from types import ModuleType\n",
+ "\n",
+ "def search_submodules(module, identifier):\n",
+ " assert isinstance(module, ModuleType)\n",
+ " ret = None\n",
+ " for attr in dir(module):\n",
+ " if attr == identifier:\n",
+ " ret = '.'.join((module.__name__, attr))\n",
+ " break\n",
+ " else:\n",
+ " submodule = getattr(module, attr)\n",
+ " if isinstance(submodule, ModuleType):\n",
+ " ret = search_submodules(submodule, identifier)\n",
+ " return ret\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " import cv2\n",
+ " print cv2.__version__\n",
+ " print search_submodules(cv2, 'RNG')"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 140
+ },
+ "id": "kdSiITJ_o3BQ",
+ "outputId": "7cb70788-698a-4563-b72e-43d3af4b9b87"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "error",
+ "ename": "SyntaxError",
+ "evalue": "ignored",
+ "traceback": [
+ "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m18\u001b[0m\n\u001b[0;31m print cv2.__version__\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m Missing parentheses in call to 'print'. Did you mean print(...)?\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "4pT5y6ego3E4"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "6WVDInBPo3H7"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "mKK7q0HKo3Kz"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [],
+ "metadata": {
+ "id": "C7HTa660oRqy"
+ }
+ }
+ ]
+}
\ No newline at end of file