DataScience Ecosystem-2.ipynb

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   "source": [
    "# Data Science Tools and Ecosystem "
   ]
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  {
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   "source": [
    "## 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. Javascript\n",
    "3. C++"
   ]
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    "## Some of the commonly used libraries used by Data Scientist include:\n",
    "1. Numpy\n",
    "2. Pandas\n",
    "3. Sckit-learn \n"
   ]
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    "|Data Science Tools|\n",
    "|------|\n",
    "|Julia|\n",
    "|Jupyter Notebook|\n",
    "|Google Colab|\n"
   ]
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   "source": [
    "### Below are a few examples of evaluating arithmeting expressions in python"
   ]
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   "source": [
    "(3*4)+5\n",
    "# this is a simple arithmetic expression to multiply then add integers. "
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   "source": [
    "int(200/60)\n",
    "#This will convert 200 minutes to hours by diving by 60 "
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    " ###  __Objectives__\n",
    " \n",
    " <p></p>\n",
    " \n",
    " <li> Learn to use numpy</li>\n",
    " <li> Learn to use pandas</li>\n",
    " <li> make graph in matplotlib</li>\n",
    "\n",
    "\n"
   ]
  },
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   "source": [
    "## Author\n",
    "\n",
    "Yunior Puentes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fefb49fc",
   "metadata": {},
   "source": [
    "https://github.com/pyunior/DataTools"
   ]
  },
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