{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "###
San Jose State University
Department of Applied Data Science

**DATA 200
Computational Programming for Data Analytics**

Spring 2024
Instructor: Ron Mak
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 2.8 Objects and Dynamic Typing" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Integer values like 7, floating-point values like 3.14, and strings values like 'cat' are all **objects**. Every object has a value and a datatype. An object's value is the data stored with the object." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "type(7)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "type(4.1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "type('dog')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Variables Refer to Objects" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### We use an assignment statement to **bind** (associate) a variable's name to an object at run time. Then we can use the variable to access the object's value." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x = 7" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x + 10" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### We can change a variable's binding by executing another assignment statement." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x = x + 10" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### **EXERCISE** What is the datatype of the expression `7.5 * 3`? " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Dynamic Typing" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Python uses **dynamic typing**. At run time, the datatype of a variable is the datatype of the object it is bound to. By changing the binding, we change the variable's datatype." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "type(x)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x = 4.1" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "type(x)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x = 'dog'" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "type(x)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What is a datatype?\n", "\n", "#### A **datatype** is an attribute of every object. It determines:\n", "- What values the object can have, such as a number or a string.\n", "- What operators are allowed on the objects. For example, we can use `//` on numbers but not on strings.\n", "- How the operators behave on the objects. For example, `+` adds numeric values but concatenates strings." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "7 // 2" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "'foo' // 2" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "2.5 + 3" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "'2.5' + '3'" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "2.5*3" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "'2.5'*'3'" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "'2.5'*3" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "3*'2.5'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Garbage Collection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Python performs automatic **garbage collection** during run time by removing objects from memory that are no longer used. In the examples above, each time the value of variable `x` changes, its previous value (the object it was bound to) is removed from memory." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "##########################################################################\n", "# (C) Copyright 2019 by Deitel & Associates, Inc. and #\n", "# Pearson Education, Inc. All Rights Reserved. #\n", "# #\n", "# DISCLAIMER: The authors and publisher of this book have used their #\n", "# best efforts in preparing the book. These efforts include the #\n", "# development, research, and testing of the theories and programs #\n", "# to determine their effectiveness. The authors and publisher make #\n", "# no warranty of any kind, expressed or implied, with regard to these #\n", "# programs or to the documentation contained in these books. The authors #\n", "# and publisher shall not be liable in any event for incidental or #\n", "# consequential damages in connection with, or arising out of, the #\n", "# furnishing, performance, or use of these programs. #\n", "##########################################################################\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Additional material (C) copyright 2023 by Ronald Mak" ] } ], "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": 4 }