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

Challenge: 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

Challenge: Comparison Operators

And, Or, Not Operators

Challenge: Boosting Logical Skills

Challenge: The Not Statement

Challenge: 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

Slicing Task

How to Find the String Length

Get the Index of the Symbol

Find the Word Index

Challenge: 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

Course Content

Data Types in Python

Data Types in Python

Slicing Task

Let's explore another valuable Python operation that proves beneficial when handling string data type. It can be advantageous to extract symbols at specified intervals. Ensure you review the example, as verbal explanations may not be the most effective method for grasping programming concepts (as exemplified by a famous quote from Albert Einstein in the example).


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string = "Life is like riding a bicycle. To keep your balance, you must keep moving"
sliced_string = string[1:11:4]
print(sliced_string)

I want to elucidate the syntax string[starting_index : ending_index : step] to you. In this context, the resultant string has been generated from the first to the eleventh character, with a step size of 4, signifying that every fourth symbol within this range has been included.

Task

Swipe to show code editor

Try to use slicing on a motivational quote from Friedrich Nietzsche. Extract all the symbols from index 1 to 13 with the step of 3.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

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Section 3. Chapter 7

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Slicing Task

Let's explore another valuable Python operation that proves beneficial when handling string data type. It can be advantageous to extract symbols at specified intervals. Ensure you review the example, as verbal explanations may not be the most effective method for grasping programming concepts (as exemplified by a famous quote from Albert Einstein in the example).


              123
            
string = "Life is like riding a bicycle. To keep your balance, you must keep moving"
sliced_string = string[1:11:4]
print(sliced_string)

I want to elucidate the syntax string[starting_index : ending_index : step] to you. In this context, the resultant string has been generated from the first to the eleventh character, with a step size of 4, signifying that every fourth symbol within this range has been included.

Task

Swipe to show code editor

Try to use slicing on a motivational quote from Friedrich Nietzsche. Extract all the symbols from index 1 to 13 with the step of 3.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 3. Chapter 7

Switch to desktop for real-world practiceContinue from where you are using one of the options below

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