jupytertutorial1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2452b74f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello Jupyter2\n"
     ]
    }
   ],
   "source": [
    "print('Hello Jupyter2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "308909e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8c422997",
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "306845f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow import *"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93cb5fc0",
   "metadata": {},
   "source": [
    "# This is my place"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "571940f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "!mkdir this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "36b06a62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/json": {
       "cell": {
        "!": "OSMagics",
        "HTML": "Other",
        "SVG": "Other",
        "bash": "Other",
        "capture": "ExecutionMagics",
        "cmd": "Other",
        "debug": "ExecutionMagics",
        "file": "Other",
        "html": "DisplayMagics",
        "javascript": "DisplayMagics",
        "js": "DisplayMagics",
        "latex": "DisplayMagics",
        "markdown": "DisplayMagics",
        "perl": "Other",
        "prun": "ExecutionMagics",
        "pypy": "Other",
        "python": "Other",
        "python2": "Other",
        "python3": "Other",
        "ruby": "Other",
        "script": "ScriptMagics",
        "sh": "Other",
        "svg": "DisplayMagics",
        "sx": "OSMagics",
        "system": "OSMagics",
        "time": "ExecutionMagics",
        "timeit": "ExecutionMagics",
        "writefile": "OSMagics"
       },
       "line": {
        "alias": "OSMagics",
        "alias_magic": "BasicMagics",
        "autoawait": "AsyncMagics",
        "autocall": "AutoMagics",
        "automagic": "AutoMagics",
        "autosave": "KernelMagics",
        "bookmark": "OSMagics",
        "cd": "OSMagics",
        "clear": "KernelMagics",
        "cls": "KernelMagics",
        "colors": "BasicMagics",
        "conda": "PackagingMagics",
        "config": "ConfigMagics",
        "connect_info": "KernelMagics",
        "copy": "Other",
        "ddir": "Other",
        "debug": "ExecutionMagics",
        "dhist": "OSMagics",
        "dirs": "OSMagics",
        "doctest_mode": "BasicMagics",
        "echo": "Other",
        "ed": "Other",
        "edit": "KernelMagics",
        "env": "OSMagics",
        "gui": "BasicMagics",
        "hist": "Other",
        "history": "HistoryMagics",
        "killbgscripts": "ScriptMagics",
        "ldir": "Other",
        "less": "KernelMagics",
        "load": "CodeMagics",
        "load_ext": "ExtensionMagics",
        "loadpy": "CodeMagics",
        "logoff": "LoggingMagics",
        "logon": "LoggingMagics",
        "logstart": "LoggingMagics",
        "logstate": "LoggingMagics",
        "logstop": "LoggingMagics",
        "ls": "Other",
        "lsmagic": "BasicMagics",
        "macro": "ExecutionMagics",
        "magic": "BasicMagics",
        "matplotlib": "PylabMagics",
        "mkdir": "Other",
        "more": "KernelMagics",
        "notebook": "BasicMagics",
        "page": "BasicMagics",
        "pastebin": "CodeMagics",
        "pdb": "ExecutionMagics",
        "pdef": "NamespaceMagics",
        "pdoc": "NamespaceMagics",
        "pfile": "NamespaceMagics",
        "pinfo": "NamespaceMagics",
        "pinfo2": "NamespaceMagics",
        "pip": "PackagingMagics",
        "popd": "OSMagics",
        "pprint": "BasicMagics",
        "precision": "BasicMagics",
        "prun": "ExecutionMagics",
        "psearch": "NamespaceMagics",
        "psource": "NamespaceMagics",
        "pushd": "OSMagics",
        "pwd": "OSMagics",
        "pycat": "OSMagics",
        "pylab": "PylabMagics",
        "qtconsole": "KernelMagics",
        "quickref": "BasicMagics",
        "recall": "HistoryMagics",
        "rehashx": "OSMagics",
        "reload_ext": "ExtensionMagics",
        "ren": "Other",
        "rep": "Other",
        "rerun": "HistoryMagics",
        "reset": "NamespaceMagics",
        "reset_selective": "NamespaceMagics",
        "rmdir": "Other",
        "run": "ExecutionMagics",
        "save": "CodeMagics",
        "sc": "OSMagics",
        "set_env": "OSMagics",
        "store": "StoreMagics",
        "sx": "OSMagics",
        "system": "OSMagics",
        "tb": "ExecutionMagics",
        "time": "ExecutionMagics",
        "timeit": "ExecutionMagics",
        "unalias": "OSMagics",
        "unload_ext": "ExtensionMagics",
        "who": "NamespaceMagics",
        "who_ls": "NamespaceMagics",
        "whos": "NamespaceMagics",
        "xdel": "NamespaceMagics",
        "xmode": "BasicMagics"
       }
      },
      "text/plain": [
       "Available line magics:\n",
       "%alias  %alias_magic  %autoawait  %autocall  %automagic  %autosave  %bookmark  %cd  %clear  %cls  %colors  %conda  %config  %connect_info  %copy  %ddir  %debug  %dhist  %dirs  %doctest_mode  %echo  %ed  %edit  %env  %gui  %hist  %history  %killbgscripts  %ldir  %less  %load  %load_ext  %loadpy  %logoff  %logon  %logstart  %logstate  %logstop  %ls  %lsmagic  %macro  %magic  %matplotlib  %mkdir  %more  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %pip  %popd  %pprint  %precision  %prun  %psearch  %psource  %pushd  %pwd  %pycat  %pylab  %qtconsole  %quickref  %recall  %rehashx  %reload_ext  %ren  %rep  %rerun  %reset  %reset_selective  %rmdir  %run  %save  %sc  %set_env  %store  %sx  %system  %tb  %time  %timeit  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode\n",
       "\n",
       "Available cell magics:\n",
       "%%!  %%HTML  %%SVG  %%bash  %%capture  %%cmd  %%debug  %%file  %%html  %%javascript  %%js  %%latex  %%markdown  %%perl  %%prun  %%pypy  %%python  %%python2  %%python3  %%ruby  %%script  %%sh  %%svg  %%sx  %%system  %%time  %%timeit  %%writefile\n",
       "\n",
       "Automagic is ON, % prefix IS NOT needed for line magics."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%lsmagic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "40520524",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Volume in drive C is Windows\n",
      " Volume Serial Number is 287C-B538\n",
      "\n",
      " Directory of C:\\Users\\ankus\n",
      "\n",
      "04-Aug-22  12:56 PM    <DIR>          .\n",
      "04-Aug-22  12:56 PM    <DIR>          ..\n",
      "24-Jun-22  10:04 PM    <DIR>          .android\n",
      "01-Aug-22  07:33 PM            10,408 .bash_history\n",
      "04-Jun-22  10:33 PM    <DIR>          .cache\n",
      "02-Aug-22  08:06 PM    <DIR>          .conda\n",
      "20-Feb-22  09:02 PM                25 .condarc\n",
      "05-Feb-22  02:53 PM    <DIR>          .config\n",
      "20-Feb-22  09:01 PM    <DIR>          .continuum\n",
      "08-Jul-22  07:12 PM               125 .gitconfig\n",
      "27-Jul-22  12:26 PM    <DIR>          .idlerc\n",
      "04-Aug-22  12:57 PM    <DIR>          .ipynb_checkpoints\n",
      "02-Aug-22  08:36 PM    <DIR>          .ipython\n",
      "02-Aug-22  08:00 PM    <DIR>          .jupyter\n",
      "04-Aug-22  12:49 PM    <DIR>          .keras\n",
      "26-Jul-22  04:06 PM                20 .lesshst\n",
      "02-Jul-22  12:13 PM    <DIR>          .ms-ad\n",
      "13-Feb-22  09:29 PM               533 .node_repl_history\n",
      "02-Feb-22  11:16 PM         1,462,700 .pipwin\n",
      "08-Jul-22  11:57 AM             3,752 .viminfo\n",
      "27-Dec-21  08:02 PM    <DIR>          .vscode\n",
      "19-Jul-22  08:32 PM               204 _netrc\n",
      "18-Jun-21  10:26 PM    <DIR>          3D Objects\n",
      "02-Aug-22  08:25 PM    <DIR>          anaconda3\n",
      "01-Sep-21  02:16 PM    <DIR>          Contacts\n",
      "19-Jun-21  10:55 AM    <DIR>          Documents\n",
      "02-Aug-22  07:03 PM    <DIR>          Downloads\n",
      "02-Sep-21  04:59 AM    <DIR>          Favorites\n",
      "02-Aug-22  09:27 PM             1,607 jupytertutorial.ipynb\n",
      "04-Aug-22  12:56 PM             1,651 jupytertutorial1.ipynb\n",
      "02-Sep-21  04:59 AM    <DIR>          Links\n",
      "07-Mar-22  09:30 PM    <DIR>          Music\n",
      "04-Feb-22  05:14 PM    <DIR>          my-dream-app\n",
      "09-Apr-22  02:53 PM    <DIR>          OneDrive\n",
      "03-Apr-22  01:16 AM    <DIR>          Pictures\n",
      "02-Feb-22  11:16 PM    <DIR>          pipwin\n",
      "15-Mar-22  01:00 PM    <DIR>          Postman\n",
      "01-Sep-21  02:16 PM    <DIR>          Saved Games\n",
      "01-Sep-21  02:16 PM    <DIR>          Searches\n",
      "04-Aug-22  12:55 PM    <DIR>          this\n",
      "03-Sep-21  11:12 PM    <DIR>          Tracing\n",
      "02-Aug-22  08:34 PM                72 Untitled.ipynb\n",
      "19-Jan-22  02:14 PM    <DIR>          Videos\n",
      "              11 File(s)      1,481,097 bytes\n",
      "              32 Dir(s)  332,054,315,008 bytes free\n"
     ]
    }
   ],
   "source": [
    "%ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fab77308",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h1>Ankush Mallick</h1>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%HTML\n",
    "<h1>Ankush Mallick</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ef0bd4c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Matplotlib is building the font cache; this may take a moment.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "t = np.arange(0.0, 2.0, 0.01)\n",
    "s = 1 + np.sin(2*np.pi*t)\n",
    "plt.plot(t, s)\n",
    "\n",
    "plt.xlabel('time (s)')\n",
    "plt.ylabel('voltage (mV)')\n",
    "plt.title('About as simple as it gets, folks')\n",
    "plt.grid(True)\n",
    "plt.savefig(\"test.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8f80b854",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "harry\n",
      "CPU times: total: 78.1 ms\n",
      "Wall time: 1.11 s\n"
     ]
    }
   ],
   "source": [
    "%time print('harry')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b7d1a49a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "harry\n",
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      "3.1 ms ± 129 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit print('harry')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50875493",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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