Datascience_notebook.ipynb

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   "source": [
    "## Data Science Tools and Ecosystem"
   ]
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   "source": [
    "### In this notebook, Data Science Tools and Ecosystem are summarized."
   ]
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   "source": [
    "## Objectives:"
   ]
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   "source": [
    "#### Some of the popular languages that Data Scientists use are:\n",
    "1. Python\n",
    "2. R\n",
    "3. Javascript"
   ]
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   "source": [
    "#### Some of the commonly used libraries used by Data Scientists include:\n",
    "1. SkLearn\n",
    "2. Pandas\n",
    "3. Matplotlib\n",
    "5. NumPy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cc75f95-0e89-4d6d-b4f6-608b4113bd4e",
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   "source": [
    "#### Data Science tools"
   ]
  },
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    "| Data Science Tools |\n",
    "| ------------------ |\n",
    "| Spark              |\n",
    "| ------------------ |\n",
    "| TensorFlow         |\n",
    "| ------------------ |\n",
    "| R Studio           |"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c4cce27-983c-4272-86f5-ba3aaffd925a",
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   "source": [
    "#### Below are a few examples of evaluating arithmetic expressions in Python."
   ]
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       "256"
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     "execution_count": 4,
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   "source": [
    "eval(\"2 ** 8\")"
   ]
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   "execution_count": 5,
   "id": "41dc4545-650c-4694-ad1b-2b64f5566f4e",
   "metadata": {
    "tags": []
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "2048"
      ]
     },
     "execution_count": 5,
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   ],
   "source": [
    "eval(\"1024 + 1024\")"
   ]
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   "execution_count": 6,
   "id": "72f25802-8611-4bd1-bcef-8cf3b8598f71",
   "metadata": {
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   "outputs": [
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     "data": {
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       "56"
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     "execution_count": 6,
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   "source": [
    "eval(\"sum([8, 16, 32])\")"
   ]
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   "id": "616e9339-6bb0-4918-9845-93858c962afe",
   "metadata": {},
   "source": [
    "#### This a simple arithmetic expression to mutiply then add integers"
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
   "id": "b0e64984-c898-44ff-877e-ba46b274167e",
   "metadata": {
    "tags": []
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
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     },
     "execution_count": 7,
     "metadata": {},
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   ],
   "source": [
    "(3*4)+5"
   ]
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  {
   "cell_type": "markdown",
   "id": "477a60cf-e27c-4ec2-92a8-7a0160e108ff",
   "metadata": {},
   "source": [
    "#### This will convert 200 minutes to hours by diving by 60."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cce0f2d5-d586-40ae-99bd-57d50eb6e338",
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   "outputs": [
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     "data": {
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       "3.3333333333333335"
      ]
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     "execution_count": 8,
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   "source": [
    "200/60"
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  {
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   "metadata": {},
   "source": [
    "## Author "
   ]
  },
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    "tags": []
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   "source": [
    "###### Mushtaq Rahim"
   ]
  },
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  }
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