Roshni Panda

Roshni Panda/details.txt.txt

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+Roshni Panda
+roshni.panda@somaiya.edu

Track 1/Day 1/First Program/.ipynb_checkpoints/DAY_1_Commit-checkpoint.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c678e45a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   Name Age  Score\n",
+      "0   Jay   5    9.4\n",
+      "1   Ron  10    8.9\n",
+      "2   joe   7    7.2\n",
+      "3  Ross   6    9.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "data = {'Name': ['Jay', 'Ron', 'joe', 'Ross'],\n",
+    "        'Age': ['5', '10', '7', '6'],\n",
+    "        'Score': [9.4, 8.9, 7.2, 9]} \n",
+    "\n",
+    "df = pd.DataFrame(data)\n",
+    "\n",
+    "print(df)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

Track 1/Day 1/First Program/DAY_1_Commit.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c678e45a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   Name Age  Score\n",
+      "0   Jay   5    9.4\n",
+      "1   Ron  10    8.9\n",
+      "2   joe   7    7.2\n",
+      "3  Ross   6    9.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "data = {'Name': ['Jay', 'Ron', 'joe', 'Ross'],\n",
+    "        'Age': ['5', '10', '7', '6'],\n",
+    "        'Score': [9.4, 8.9, 7.2, 9]} \n",
+    "\n",
+    "df = pd.DataFrame(data)\n",
+    "\n",
+    "print(df)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

Track 1/Day 1/First Program/main.py

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+import pandas as pd
+import numpy as np
+
+data = {'name': ['Jay', 'Ron', 'joe', 'Ross'],
+        'age': ['5', '10', '7', '6'],
+        'score': [9.4, 8.9, 7.2, 9]} 
+
+df = pd.DataFrame(data)
+
+
+
+df.to_csv('C:\\Users\\jayzo\\PycharmProjects\\DataZen_DataAnalysis\\text_csv', index= False)
+print(df)