diff --git a/05_numbers/04_summary.ipynb b/05_numbers/04_summary.ipynb
new file mode 100644
index 0000000..45c7c29
--- /dev/null
+++ b/05_numbers/04_summary.ipynb
@@ -0,0 +1,85 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "# Chapter 5: Numbers & Bits (TL;DR)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "skip"
+ }
+ },
+ "source": [
+ "There exist three numeric types in core Python:\n",
+ "- `int`: a near-perfect model for whole numbers (i.e., $\\mathbb{Z}$); inherently precise\n",
+ "- `float`: the \"gold\" standard to approximate real numbers (i.e., $\\mathbb{R}$); inherently imprecise\n",
+ "- `complex`: layer on top of the `float` type to approximate complex numbers (i.e., $\\mathbb{C}$); inherently imprecise\n",
+ "\n",
+ "Furthermore, the [standard library ](https://docs.python.org/3/library/index.html) provides two more types that can be used as substitutes for the `float` type:\n",
+ "- `Decimal`: similar to `float` but allows customizing the precision; still inherently imprecise\n",
+ "- `Fraction`: a near-perfect model for rational numbers (i.e., $\\mathbb{Q}$); built on top of the `int` type and therefore inherently precise\n",
+ "\n",
+ "The *important* takeaways for the data science practitioner are:\n",
+ "\n",
+ "1. **Do not mix** precise and imprecise data types, and\n",
+ "2. actively expect `nan` results when working with `float` numbers as there are no **loud failures**.\n",
+ "\n",
+ "The **numerical tower** is Python's way of implementing various **abstract** ideas of what numbers are in mathematics."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.8.6"
+ },
+ "livereveal": {
+ "auto_select": "code",
+ "auto_select_fragment": true,
+ "scroll": true,
+ "theme": "serif"
+ },
+ "toc": {
+ "base_numbering": 1,
+ "nav_menu": {},
+ "number_sections": false,
+ "sideBar": true,
+ "skip_h1_title": true,
+ "title_cell": "Table of Contents",
+ "title_sidebar": "Contents",
+ "toc_cell": false,
+ "toc_position": {
+ "height": "calc(100% - 180px)",
+ "left": "10px",
+ "top": "150px",
+ "width": "384px"
+ },
+ "toc_section_display": false,
+ "toc_window_display": false
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/README.md b/README.md
index 4d3340b..098db41 100644
--- a/README.md
+++ b/README.md
@@ -136,6 +136,7 @@ Alternatively, the content can be viewed in a web browser
[](https://mybinder.org/v2/gh/webartifex/intro-to-python/develop?urlpath=lab/tree/05_numbers/03_appendix.ipynb)
(`Decimal` Type;
`Fraction` Type)
+ - [summary ](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/05_numbers/04_summary.ipynb)
#### Videos