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Commit 9b6b025

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Amogh Singhal
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‎bits_wilp/Ex2_Numpy_Q6.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "6fbe566f",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a0d6b1f1",
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"metadata": {},
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"source": [
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"### Matrix Multiplication"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "77a499e1",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"First matrix:\n",
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" [[4 3 3]\n",
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" [2 4 2]\n",
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" [0 1 4]]\n",
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"\n",
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"Second matrix:\n",
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" [[4 8 1]\n",
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" [0 2 3]\n",
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" [6 6 2]]\n",
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"\n",
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"Product of the two matrix\n",
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"[[34 56 19]\n",
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" [20 36 18]\n",
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" [24 26 11]]\n"
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]
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}
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],
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"source": [
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"def matgen3d():\n",
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" \"\"\"\n",
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" Function to generate a random integer 3x3 matrix\n",
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" Min value: 1, Max value: 9\n",
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" \"\"\"\n",
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" return np.random.randint(low=0, high=10, size=(3,3))\n",
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"\n",
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"mat1 = matgen3d()\n",
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"mat2 = matgen3d()\n",
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"\n",
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"print(\"First matrix:\\n\", mat1)\n",
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"print()\n",
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"print(\"Second matrix:\\n\", mat2)\n",
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"print()\n",
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"print(\"Product of the two matrix\")\n",
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"print(np.matmul(mat1, mat2))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2b277c10",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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