DataScienceEcosystem.ipynb

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    "<center>\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0105EN-SkillsNetwork/labs/Module2/images/SN_web_lightmode.png\" width=\"300\" alt=\"cognitiveclass.ai logo\">\n",
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    "#### Add your code below following the instructions given in the course\n"
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   "source": [
    "# Data Science Tools and Ecosystem"
   ]
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   "source": [
    "## Author: Togo Odbadrakh"
   ]
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   "source": [
    "In this notebook, Data Science Tools and Ecosystems are summarized."
   ]
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   "source": [
    "Objectives:\n",
    "- List popular languages for Data Science\n",
    "- List popular libraries for Data Science\n",
    "- List popular tools for Data Science\n",
    "- Write code for Data Science"
   ]
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   "source": [
    "Some of the popular languages that Data Scientists user are:\n",
    "1. Python\n",
    "2. R\n",
    "3. Julia"
   ]
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   "source": [
    "Some of the commonly used libraries used by Data Scientists include:\n",
    "1. Pandas\n",
    "2. Scikit-Learn\n",
    "3. TensorFlow\n",
    "4. SciPy"
   ]
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   "source": [
    "| Data Science Tools |\n",
    "----------------------\n",
    "| Apache Spark       |\n",
    "| BigML              |\n",
    "| SAS                |\n",
    "----------------------"
   ]
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   "source": [
    "Below are a few examples of evaluating arithmetic expressions in Python."
   ]
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   "source": [
    "# This is a simple arithmetic expression to multiply then add integers.\n",
    "(3*4)+5"
   ]
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     "execution_count": 4,
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   "source": [
    "# This will convert 200 minutes to hours by dividing by 60.\n",
    "200/60"
   ]
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