Introduction to Python

Course Content

Introduction to Python

Introduction to Python

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: Weather Adviser

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: Creating 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

Python has the boolean (or logical) data type. Booleans can only have one of two values: True or False. This type is primarily used for evaluating logical conditions. Below 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 use these operators, the result is a boolean value: True if the condition is met and False if it is not.


              12345678
            
# 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 these results mean? The first True confirms that 1 is equal to 1, which is self-evident. The second False indicates that the strings "abc" and "aBc" are different because string comparisons in Python are case-sensitive—the letter 'b' in "abc" is lowercase, while 'B' in "aBc" is uppercase. The final False shows that 87 * 731 is not greater than or equal to 98 * 712. In fact, 63597 is less than 69776.

Now, let's evaluate the following:

Is the variable first_integer less than or equal to second_integer? (It should return True if first_integer is less than or equal to second_integer, and False if it is greater.)
Is the string "text" different from "TEXT"?
Does the length of the string "Python" equal 6?

Note

Printing an expression like variable_1 >= variable_2 does not mean that variable_1 is actually greater than or equal to variable_2. Instead, it simply evaluates whether the statement is True or False. This operation does not modify the values of the variables in any way.

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Section 3. Chapter 1

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