Course Content

Introduction to Python (dev copy)

1. First Acquaintance with Python

The Very First Steps in Python How to Use Comments for Readability Perform Simple Math in Python Handle More Challenging Math in Python Bringing Python Fundamentals Together

2. Variables and Types in Python

How to Store Numbers in Python Python Naming Rules for Variables How to Work with Variables in Python Data Types in Python Challenge: Converting Kilometers to Miles Store Text with Strings in Python String Indexing in Python Negative Indexing and String Length in Python String Slicing in Python Challenge: Retrieving Letters from String String Concatenation in Python

3. Conditional Statements in Python

Boolean Data Type in Python Challenge: Working with Comparison Operators How to Combine Conditions in Python Challenge: Working with Logical Operators Membership Operators and Type Comparisons in Python How to Use if/else Expressions in Python Challenge: Running a Grocery Store Challenge: Creating Odd and Even Logic if/elif/else Expressions Challenge: Running Grocery Store Extended Challenge: Outputting Positive, Negative or Zero

4. Other Data Types in Python

Python Lists Common List Methods in Python Challenge: Updating List Nested Lists in Python Challenge: Retrieving Information from Nested List Python Tuples Common Tuple Methods in Python Challenge: Updating Tuple Nested Tuples in Python Challenge: Retrieving Information from Nested Tuple Python Dictionaries Challenge: Completing Dictionary Common Dictionary Methods in Python Challenge: Updating Dictionary

5. Loops in Python

Explore the while Loop in Python Challenge: Working with the While Loop Explore the for Loop in Python Challenge: Working with the For Loop Range Function in Python Challenge: Using the Range Function How to Iterate Over Indexes in Python Explore Nested Loops in Python

6. Functions in Python

Built-in Functions in Python Challenge: Converting Heights How to Create Functions in Pythons Challenge: Writing First Function Use of if/else Statements in Python Functions Challenge: Identifying Positive Values Functions Without Return in Python Challenge: Creating Logging Function Modifying Functions in Python Challenge: Updating Logic of the Function Lambda Functions in Python Challenge: Creating Lambda Function

Boolean Data Type in Python

Welcome to section three! In this section, we'll dive into another Python data type: the boolean or logical type. Booleans can only have one of two values: True or False. This data type comes into play when evaluating logical conditions.

Here are the logical operators for comparison:

== equal to;
!= not equal to;
> greater than;
< less than;
>= greater than or equal to;
<= less than or equal to.

When you apply these operators, the result will be a boolean value: True if the condition is met, and False if it isn't. For instance, consider the following evaluations:


              123456
            
# Check if `1` equals `1`
print(1 == 1)
# Check if `"abc"` equals `"aBc"`
print("abc" == "aBc")
# Check if `87*731` greater than or equal to `98*712`
print(87*731 >= 98*712)

What do the results above signify? The first True indicates that 1 is equal to 1 (which is self-evident); the second False suggests that the strings "abc" and "aBc" differ due to the case sensitivity of the letter 'b'. The final False implies that 87*731 isn't greater than or equal to 98*712. In fact, 63597 is less than 69776.

Now, let's evaluate the following:

Is first_integer variable less than or equal to second_integer? (It must return True if the first variable is less than or equal to the second, and False if it is greater than the second)
Is the string "text" not the same as "TEXT"?
Does the string length of "Python" equal 6?

Note

Printing an expression such as variable_1 >= variable_2 doesn't imply that variable_1 is genuinely greater than or equal to variable_2. It simply signifies that you're evaluating whether this statement is True or False. This operation does not alter the values of the variables in any manner.

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Section 3. Chapter 1