NB_pr_assignment_Mod2_Week4.ipynb

{"cells": [{"metadata": {"collapsed": true}, "cell_type": "markdown", "source": "# My Jupyter Notebook on IBM Watson Studio"}, {"metadata": {}, "cell_type": "markdown", "source": "**Paulo Roberto Moura de Carvalho.**<br>\nGeostatistician/Software Engineer - I seek specialization in Data Science."}, {"metadata": {}, "cell_type": "markdown", "source": "_I'm interested in Data Science because it shapes a broader mindset towards a better understanding of data as well as delivering meaningful and useful reports for decision makers, going far beyond the simple application of prediction models_."}, {"metadata": {}, "cell_type": "markdown", "source": "### The following code simply demonstrates how to implement recursion in Python (the classic factorial function):"}, {"metadata": {}, "cell_type": "code", "source": "def factorial(n):\n   if n == 1:\n       print(\"Returning 1! = 1 (trivial case).\")\n       return 1 #The trivial case is the end-of-recursion condition.\n   else:\n       retval = n * factorial( n - 1 ) # recursion rationale: 3! == 3 * 2! == 3 * 2 * 1! == 3 * 2 * 1\n       print(\"Returning\",n,\"*\",n-1,\"! = \",retval)\n       return retval  \n    \nprint( factorial(3) )", "execution_count": 1, "outputs": [{"output_type": "stream", "text": "Returning 1! = 1 (trivial case).\nReturning 2 * 1 ! =  2\nReturning 3 * 2 ! =  6\n6\n", "name": "stdout"}]}, {"metadata": {}, "cell_type": "markdown", "source": "Using Markdown or HTML, this cell must include at least 3 of the following: horizontal rule, bulleted list, numbered list, tables, hyperlinks, images, code/syntax highlighting, blocked quotes, strikethrough.\n<HR/>\n1. To do item #1\n1. ~~To do item #2~~\n1. To do item #3\n\n<HR/>\n\n[This website](https://apod.nasa.gov/apod/astropix.html) is awesome and has been around for 27 years.\n    "}, {"metadata": {}, "cell_type": "code", "source": "", "execution_count": null, "outputs": []}], "metadata": {"kernelspec": {"name": "python3", "display_name": "Python 3.9", "language": "python"}, "language_info": {"name": "python", "version": "3.9.12", "mimetype": "text/x-python", "codemirror_mode": {"name": "ipython", "version": 3}, "pygments_lexer": "ipython3", "nbconvert_exporter": "python", "file_extension": ".py"}}, "nbformat": 4, "nbformat_minor": 1}