Tool_for_DS_week4_Peer_Review.ipynb

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   "source": [
    "<center>\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0105EN-SkillsNetwork/labs/Module2/images/SN_web_lightmode.png\" width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n",
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Add your code below following the instructions given in the course\n"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# My Jupyter Notebook on IBM Watson Studio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Bohdan Karpinskyy**"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "*I'm interested in data science because it may be a useful for my main work*"
   ]
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   "source": [
    "### The code below will flatten the lists"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5, 6]\n"
     ]
    }
   ],
   "source": [
    "import itertools\n",
    "a = [[1, 2], [3, 4], [5, 6]]\n",
    "b = list(itertools.chain.from_iterable(a))\n",
    "print(b)"
   ]
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   "cell_type": "markdown",
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   "source": [
    "***\n",
    "* one\n",
    "* two\n",
    "* three\n",
    "#### table\n",
    "| Syntax | Description |\n",
    "| --- | ----------- |\n",
    "| Header | Title |\n",
    "| Paragraph | Text |\n",
    "\n",
    "#### image\n",
    "\n",
    "![alt text](https://s3.fr-par.scw.cloud/glartek-website/2021/05/ibm-watson.png \"Image link was borrowd from Glartek website\")\n",
    "***"
   ]
  }
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