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

Convert Types

At times, Python may automatically assign a data type to a variable, which might not align with our intended choice. Hence, it is advantageous to possess the capability to exert control over the data type selection.

For instance, we can turn a number into a string, change the type of numerical data, or even use whichever number as a boolean data type. In this chapter, we are going to take care of converting numerical data types.

First and foremost, take a look at the syntax of converting a number to the integer data type:

Note
It has a simple syntax, int(number), but if we want to convert a string to an integer, this string should contain integer numbers in quotes, like int("8990"), not int("899.0").

Task

Convert variable1 to an integer.
Convert variable2 to an integer.
Convert variable3 to an integer.

I want to admit that you are going to get an attractive result: 3 perfect numbers. I'll explain what perfect numbers are at the end of chapter.🤔

Note
A perfect number is an integer that is the sum of its positive proper divisors: 6 = 1+2+3. Our courses don't just help develop in programming.😄

Everything was clear?

Section 4. Chapter 1

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Course Content

Data Types in Python

Convert Types

At times, Python may automatically assign a data type to a variable, which might not align with our intended choice. Hence, it is advantageous to possess the capability to exert control over the data type selection.

For instance, we can turn a number into a string, change the type of numerical data, or even use whichever number as a boolean data type. In this chapter, we are going to take care of converting numerical data types.

First and foremost, take a look at the syntax of converting a number to the integer data type:

Note
It has a simple syntax, int(number), but if we want to convert a string to an integer, this string should contain integer numbers in quotes, like int("8990"), not int("899.0").

Task

Convert variable1 to an integer.
Convert variable2 to an integer.
Convert variable3 to an integer.

I want to admit that you are going to get an attractive result: 3 perfect numbers. I'll explain what perfect numbers are at the end of chapter.🤔

Note
A perfect number is an integer that is the sum of its positive proper divisors: 6 = 1+2+3. Our courses don't just help develop in programming.😄

Everything was clear?

Section 4. Chapter 1

toggle bottom row

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