_DataScienceEcosystem.ipynb

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   "source": [
    "# Data Science Tools and Ecosystem"
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    "In this notebook, Data Science Tools and Ecosystem are summarized."
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    "Some of the popular languages that Data Scientists use are:\n",
    "1. Python\n",
    "2. R\n",
    "3. Julia\n",
    "4. SQL\n"
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    "Some of the commonly used libraries used by Data Scientists include:\n",
    "1. NumPy\n",
    "2. Pandas\n",
    "3. Matplotlib\n",
    "4. Scikit-learn\n"
   ]
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    "| Data Science Tools |\n",
    "|--------------------|\n",
    "| Jupyter Notebook   |\n",
    "| RStudio            |\n",
    "| Apache Zeppelin    |\n",
    "\n"
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    "### Below are a few examples of evaluating arithmetic expressions in Python.\n"
   ]
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   "source": [
    "# This a simple arithmetic expression to multiply then add integers\n",
    "(3*4)+5\n"
   ]
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   "source": [
    "# This will convert 200 minutes to hours by dividing by 60\n",
    "200 / 60\n"
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   "source": [
    "**Objectives:**\n",
    "- List popular languages for Data Science\n",
    "- List commonly used libraries for Data Science\n",
    "- Demonstrate simple arithmetic operations in Python\n"
   ]
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   "source": [
    "## Author\n",
    "[AGNIK MISRA]\n"
   ]
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