Data Serialization & Date time, Creating csv file

Using Jupyter Notebook

Author: sunilzambre

Data_Serialize.ipynb

@@ -0,0 +1,162 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1531083e-8ff4-4ef7-a124-f032c434860b",
+   "metadata": {},
+   "source": [
+    "### Data Serialization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a03e5944-5059-4447-b759-95f770012c43",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\"name\": \"Sunil\", \"age\": 41}\n",
+      "<class 'str'>\n",
+      "{'name': 'Sunil', 'age': 41}\n",
+      "<class 'dict'>\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json \n",
+    "data ={'name':'Sunil','age':41}\n",
+    "\n",
+    "json_str =json.dumps(data)\n",
+    "print(json_str)\n",
+    "print(type(json_str))\n",
+    "\n",
+    "parsed_data=json.loads(json_str)\n",
+    "print(parsed_data)\n",
+    "print(type(parsed_data))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf26772b-5825-4941-b8f1-27932aaea45e",
+   "metadata": {},
+   "source": [
+    "## Creating CSV file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d00bba44-83cc-4e3d-b19c-cfc06d17e00f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['name', 'age']\n",
+      "['SUNIL', '41']\n"
+     ]
+    }
+   ],
+   "source": [
+    "import csv\n",
+    "with open('example.csv',mode='w',newline='') as file:\n",
+    "    writer=csv.writer(file)\n",
+    "    writer.writerow(['name','age'])\n",
+    "    writer.writerow(['SUNIL',41])\n",
+    "\n",
+    "with open('example.csv',mode='r') as file:\n",
+    "    reader = csv.reader(file)\n",
+    "    for row in reader:\n",
+    "        print(row)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e66d81a6-dc2f-4303-ab32-c58167e8db67",
+   "metadata": {},
+   "source": [
+    "### Import Datetime and timedelta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "61bc3cc1-a23f-4d04-a9fa-1b72563bd70a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-09 11:46:56.233616\n",
+      "2025-03-08 11:46:56.233616\n"
+     ]
+    }
+   ],
+   "source": [
+    "from datetime import datetime,timedelta\n",
+    "\n",
+    "now=datetime.now()\n",
+    "print(now)\n",
+    "\n",
+    "yesterday=now-timedelta(days=1)\n",
+    "print(yesterday)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a765c01d-d970-4c9a-ba00-70bd8ae09bb6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1741501043.1172035\n"
+     ]
+    }
+   ],
+   "source": [
+    "## time\n",
+    "import time\n",
+    "print(time.time())\n",
+    "time.sleep(4)\n",
+    "print(time.time())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "637d965b-f8c9-43ae-b22e-4168d8cb9686",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}