DataScienceEcosystem.ipynb

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   "source": [
    "# Data Science Tools and Ecosystem"
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    "### Some of the popular languages that Data Scientists use are:\n",
    "1. Python\n",
    "2. R\n",
    "3. SQL"
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    "### Some of the commonly used libraries used by Data Scientists include:\n",
    "1. NumPy\r\n",
    "2. Pandas\r\n",
    "3. Matplotlib\r\n",
    "4. Scikit-learn\r\n",
    "5. TensorFlow"
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   "source": [
    "| Data Science Tools   |\n",
    "|----------------------|\n",
    "| Jupyter Notebook     |\n",
    "| RStudio              |\n",
    "| Visual Studio Code   |"
   ]
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   "source": [
    "### Below are a few examples of evaluating arithmetic expressions in Python"
   ]
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    "# This a simple arithmetic expression to mutiply then add integers\n",
    "(3*4)+5"
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   "source": [
    "# This will convert 200 minutes to hours by diving by 60\n",
    "minutes = 200\n",
    "hours = minutes / 60\n",
    "hours"
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   "source": [
    "**Objectives:**\n",
    "- List popular languages for Data Science\n",
    "- Identify commonly used libraries in data science.\r\n",
    "- Summarize key data science tools and ecosystems"
   ]
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   "metadata": {},
   "source": [
    "## Author\n",
    "Hansamalee Ekanayake"
   ]
  },
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