Data Types in Python

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?

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

Priorities

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

How to Find the String Length

Get the Index of the Symbol

Find the Word Index

Slicing with Index Function

Is String Mutable?

Merge Strings

4. Bring All the Topics Together

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

Integer Numbers

You might be accustomed to specifying numbers in ways such as:

1,000,000 (with commas);
1 000 000 (with spaces).

However, Python will not understand this.😢

These formats are understandable for a person but not for a computer, so the right way is 1000000 without commas or spaces.

Task

Here is the distance from the sun to the Earth in miles: var1 = 91,400,000. And here is the distance from the Earth to the moon: var2 = 238 855. You need to adjust these number formats to be compatible with Python.