DataScienceEcosystem.ipynb

DataScienceEcosystem.ipynb

@@ -0,0 +1,106 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Data Science Tools and Ecosystem"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "In this notebook, Data Science tools and ecosystem are summarized."
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Some of the popular languages that Data Scientists use are:\\n\\n1. Python\\n2. R\\n3. SQL\\n4. Julia\\n5. Scala"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Some of the commonly used libraries by Data Scientists include:\\n\\n1. Pandas\\n2. NumPy\\n3. Scikit-learn\\n4. Matplotlib\\n5. ggplot2"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "| Data Science Tools |\\n|--------------------|\\n| Jupyter Notebook   |\\n| RStudio            |\\n| VS Code            |"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Below are a few examples of evaluating arithmetic expressions in Python."
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "# This is a simple arithmetic expression to multiply then add integers.\\n(3 * 4) + 5"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "17"
+     },
+     "execution_count": 1
+    }
+   ],
+   "execution_count": 1,
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "# This will convert 200 minutes to hours by dividing by 60.\\n200 / 60"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "3.3333333333333335"
+     },
+     "execution_count": 2
+    }
+   ],
+   "execution_count": 2,
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "**Objectives:**\\n\\n- List popular data science languages\\n- Highlight key data science libraries\\n- Show common data science tools\\n- Demonstrate basic arithmetic in Python\\n- Share notebook via GitHub"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Author\\n\\nRamon Malheiros Barros"
+   ],
+   "metadata": {}
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}