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Machine Learning/Untitled.ipynb

@@ -0,0 +1,118 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "f517dc32-546a-4a6d-9dd0-b260844279f7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a=5\n",
+    "b=3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "ecff9bf2-db72-4a59-9054-5be6e70d6b08",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a+b"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "818b92a4-40b5-4a36-a765-f8f305a98bc6",
+   "metadata": {},
+   "source": [
+    "# Hello quera"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "cb0f8603-6715-45f6-8a17-b839ea1de691",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "278 ns ± 75.3 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%timeit a*b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "27381e1c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1;31mType:\u001b[0m        list\n",
+      "\u001b[1;31mString form:\u001b[0m ['ali', 'ebrahim', 3]\n",
+      "\u001b[1;31mLength:\u001b[0m      3\n",
+      "\u001b[1;31mDocstring:\u001b[0m  \n",
+      "Built-in mutable sequence.\n",
+      "\n",
+      "If no argument is given, the constructor creates a new empty list.\n",
+      "The argument must be an iterable if specified."
+     ]
+    }
+   ],
+   "source": [
+    "my_list = ['ali','ebrahim', 3]\n",
+    "?my_list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ec72d781",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "qenv",
+   "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": "3.8.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}