Data Types in Python

Data Types in Python

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1. Getting Familiar With Numbers in Python

Numeric data types are crucial in Python, so it is important to start with them. Here you will work with simple math operations and find out the purposes of learning different types of numerical data.

Numerical Data Type in General

Mutable or Immutable?

Integer Numbers

Compulsory Math

Complicated Math

Time Calculation

How to Define a Type

2. True or False?

The main goal of this section is to clarify the boolean data types; it's a sub type of numeric data, but indeed it is more challenging. Since it is always better to excel in the more difficult topics, this section is a valuable part of your curriculum.

Introduction to Boolean Data Type

Logical Statements

And, Or, Not Operators

Boost Your Logical Skills

Dealing With Not Statement

Work With Logical Statements

3. Strings

Strings are a way for us to implement your phrases in Python, that is, to give instructions to users who are the target audience of your program. Indeed, it is always better to be able to work with strings because they should be used in your code. You'll understand why soon.

Print Your String

Quotation Marks

Get Acquainted With Indexation

Negative Indexation

Slice the Phrase

How to Find the String Length

Get the Index of the Symbol

Find the Word Index

Slicing with Index Function

Is String Mutable?

4. Bring All the Topics Together

This chapter consists of practical tasks that combine all the examined topics together with a bit of theory.

Useful Converting

Converting: float()

Converting: bool()

Converting: str()

Math in Strings

Compare Strings

And, Or, Not Operators

In real life, almost everyone expresses their thoughts using phrases like "Yes or No", "Definitely Not", "Yes, yes and yes!". Python language permits you to do almost the same, but it uses more formal phrases based on the statements and, or, and not.

X and Y can be any logical statement (True or False):

Statement	Syntax	Purpose
`and`	`X and Y`	Returns `True` only if `X` and `Y` are both `True`
`or`	`X or Y`	Returns `True` in all cases, except if `X` and `Y` are both `False`
`not`	`not X`	If `X` is `True`, it changes it to `False`, and vice versa

Let's look at the table below to understand the logic of each operator:

X	Y	X or Y	X and Y	not X
`True`	`True`	`True`	`True`	`False`
`True`	`False`	`True`	`False`	`False`
`False`	`True`	`True`	`False`	`True`
`False`	`False`	`False`	`False`	`True`

Task

It's time for some tricky tasks!

Here, you should replace___ with a True or False statement to make:

The statement1 variable equal to True.
The statement2 variable equal to False.

Everything was clear?

Section 2. Chapter 3

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Course Content

Data Types in Python

And, Or, Not Operators

In real life, almost everyone expresses their thoughts using phrases like "Yes or No", "Definitely Not", "Yes, yes and yes!". Python language permits you to do almost the same, but it uses more formal phrases based on the statements and, or, and not.

X and Y can be any logical statement (True or False):

Statement	Syntax	Purpose
`and`	`X and Y`	Returns `True` only if `X` and `Y` are both `True`
`or`	`X or Y`	Returns `True` in all cases, except if `X` and `Y` are both `False`
`not`	`not X`	If `X` is `True`, it changes it to `False`, and vice versa

Let's look at the table below to understand the logic of each operator:

X	Y	X or Y	X and Y	not X
`True`	`True`	`True`	`True`	`False`
`True`	`False`	`True`	`False`	`False`
`False`	`True`	`True`	`False`	`True`
`False`	`False`	`False`	`False`	`True`

Task

It's time for some tricky tasks!

Here, you should replace___ with a True or False statement to make:

The statement1 variable equal to True.
The statement2 variable equal to False.

Everything was clear?

Section 2. Chapter 3

toggle bottom row

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