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DataScienceEcosystem.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4b16b690-207c-4ba8-9ab6-2983c466fa74",
+   "metadata": {},
+   "source": [
+    "# Data Science Tools and Ecosystem"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c624f626-dc45-4cf2-a766-28de03efda6f",
+   "metadata": {},
+   "source": [
+    "In this notebook, Data Science Tools and Ecosystem are summarized"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9844a648-ccc8-45ad-8587-563a5c1d96a7",
+   "metadata": {},
+   "source": [
+    "# Objectives\n",
+    "- List popular languages for Data Science\n",
+    "- Create Table in Markdown\n",
+    "- List Commonly used Libraries by Data Scientist\n",
+    "- Create Ordered and Unordered lists in Markdown\n",
+    "- Insert links and images using Markdown"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2891818e-33ec-4369-9fec-dd8ca0aae2cc",
+   "metadata": {},
+   "source": [
+    "# Some of the popular languages that Data Scientists use are:\n",
+    "1. R\n",
+    "2. Python\n",
+    "3. SQL"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6c869301-7483-45fb-b243-d43a5e8f6fd6",
+   "metadata": {},
+   "source": [
+    "Some of the commonly used libraries used by Data Scientists include:\n",
+    "1. PyTorch\n",
+    "2. Scrapy\n",
+    "3. Numpy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5b32c6b-bb10-4e90-8811-c88b59309687",
+   "metadata": {},
+   "source": [
+    "|Data Science Tools|\n",
+    "|------------------|\n",
+    "|Jupyter Notebooks|\n",
+    "|R Studio|\n",
+    "|Zeppelin Notebooks|"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5b14a59-01fa-4523-9031-d957eaa20acc",
+   "metadata": {},
+   "source": [
+    "### Below are a few examples of evaluating arithmetic expressions in Python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7b97da4b-c102-4efb-bca0-b4f179a59c21",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "17"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# This a simple arithmetic expression to mutiply then add integers\n",
+    "(3*4)+5\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "02ae3db7-8383-42f4-a0e4-46886d363d53",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3.3333333333333335"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# This will convert 200 minutes to hours by diving by 60\n",
+    "200/60 "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6f7a8984-81dd-4407-a74d-ab6fdc3451aa",
+   "metadata": {},
+   "source": [
+    "## AUTHOR\n",
+    "Ronald Diggs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ac4f5a7c-031b-4883-af15-7563a8f00fd0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

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