Summary  
This chapter explains how to combine and evaluate multiple boolean expressions in Python using the `and`, `or`, and `not` operators (with optional parentheses for grouping).  

General domain of usage  
Decision making and control flow in applications

In Boolean logic, two fundamental operators are **OR** and **AND**. What do they represent?

The **OR** operator checks if *either of the conditions is true* and returns `True` if so; otherwise, it returns `False`.

The **AND** operator ensures *both conditions are true* before returning `True`. If not, it returns `False`.
In Python, to combine conditions, use the `and` & `or` operators (**always in lowercase**). 

For example:
- `condition1 and condition2` yields `True` only when both conditions are `True`;
- `condition1 or condition2` gives `True` if at least one condition is `True`.

> **Note**
>
> You can also **chain more than two conditions** using these operators. Employ **parentheses** to clarify the order of operations.

As an illustration, consider these conditions:
1. Whether `2` exceeds `1` **and** if `"bbb"` isn't the same as `"aaa"`;
2. If the character with index `2` in the string `"my string"` **is either** `"y"` or `"s"`.

# Check the first two conditions
print(2 > 1 and "bbb" != "aaa")
# Check the next two conditions
print("my string"[2] == "y" or "my string"[2] == "s")

How should we interpret the outcomes? The initial `print()` issues a `True` response since both `2 > 1` and `"bbb" != "aaa"` hold true. The following `print()` yields `False` because the character at index `2` is neither `'y'` nor `'s'` (*it's actually a space*).

> **Note**
>
> If you wish to reverse a boolean value, employ the `not` operator. For instance, `not 1 == 1` results in `False` because `1 == 1` is `True`, and we've negated that to `False`.

What output does the subsequent code produce?

Python is an interpreted high-level general-purpose programming language. Unlike HTML, CSS, and JavaScript, which are primarily used for web development, Python is versatile and can be used in various fields, including software development, data science, and back-end development. In this course, you'll explore the core aspects of Python, and by the end, you'll be crafting your own functions!

Dive into the basics of Python, explore your workspace, and perform simple math operations. Learn how to write readable code using comments and handle both basic and advanced mathematical expressions while displaying your results.

Learn how to store and manage data in Python by working with numbers, text, and variables. Understand how to assign values, follow naming conventions, and explore different data types. Gain hands-on experience with string operations, indexing, slicing, and memory recall techniques to efficiently manipulate text in Python.

Learn how to use comparison and logical operators, work with conditional expressions, and apply membership and type comparisons. Build a strong foundation in writing programs that respond dynamically to different conditions using if/else and if/elif/else structures.

Expand your understanding of data types by learning how to group multiple attributes within a single variable. Explore lists, tuples, and dictionaries to efficiently store and manage structured data, along with essential methods for manipulation and retrieval.

Master the art of writing loops in Python—essential constructs for iterating over lists, tuples, dictionaries, and other data structures. Learn to use while and for loops effectively, explore the range function, and work with nested loops to handle complex iteration patterns.

Explore essential built-in functions in Python and take the next step by creating your own. Learn how to define functions, use conditional logic, modify existing functions, and work with lambda expressions to write efficient, reusable code.

How to Combine Conditions in Python

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How to Combine Conditions in Python