DataScienceEcosystem.ipynb

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   "source": [
    "# Data Science Tools and Ecosystem"
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    "**Objectives:** \n",
    "\n",
    "- List popular languages for Data Science\n",
    "- List popular libraries for Data Science\n",
    "- List popular Tools for Data Science"
   ]
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    "Some of the popular languages that Data Scientists use are:\n",
    "\n",
    "1. Python\n",
    "2. R\n",
    "3. Java"
   ]
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   "source": [
    "Some commonly used libraries used by Data Scientists include:\n",
    "\n",
    "1. numpy\n",
    "2. pandas\n",
    "3. tensorflow"
   ]
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   "source": [
    "| Data Science Tools |\n",
    "-----------------------\n",
    "| R Studio |\n",
    "| JupyterLab |\n",
    "| Visual Studio |"
   ]
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   "source": [
    "### Below are a few examples of evaluating arithmetic expressions in Python"
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    "# This is a simple arithmetic expression to multiply then add integers\n",
    "(3*4)+5"
   ]
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   "source": [
    "# This will convert 200 Minutes to hours by dividing by 60.\n",
    "200 / 60"
   ]
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   "metadata": {},
   "source": [
    "## Author\n",
    "Felix Rogg"
   ]
  }
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