Introduction to Python(ihor)

Course Content

Introduction to Python(ihor)

Introduction to Python(ihor)

1. First Acquaintance with Python

The Very First Steps in Python How to Use Comments for Readability Perform Simple Math in Python Handle More Complex Math in Python Bringing Python Fundamentals Together

2. Variables and Types in Python

How to Store Numbers in Python Python Naming Rules for Variables How to Work with Variables in Python Data Types in Python Challenge: Converting Kilometers to Miles Store Text with Strings in Python String Indexing in Python String Slicing in Python Challenge: Retrieving Letters from String String Concatenation in Python

3. Conditional Statements in Python

Boolean Data Type in Python Challenge: Working with Comparison Operators How to Combine Conditions in Python Challenge: Working with Logical Operators Membership Operators and Type Comparisons in Python How to Use if/else Expressions in Python Challenge: Running a Grocery Store Challenge: Creating Odd and Even Logic if/elif/else Expressions Challenge: Running Grocery Store Extended Challenge: Weather Adviser

4. Other Data Types in Python

Python Lists Common List Methods in Python Challenge: Updating List Nested Lists in Python Challenge: Retrieving Information from Nested List Python Tuples Common Tuple Methods in Python Challenge: Updating Tuple Nested Tuples in Python Challenge: Retrieving Information from Nested Tuple Python Dictionaries Challenge: Creating Dictionary Common Dictionary Methods in Python Challenge: Updating Dictionary

5. Loops in Python

Explore the while Loop in Python Challenge: Working with the While Loop Explore the for Loop in Python Challenge: Working with the For Loop Range Function in Python Challenge: Using the Range Function How to Iterate Over Indexes in Python Explore Nested Loops in Python

6. Functions in Python

Built-in Functions in Python Challenge: Converting Heights How to Create Functions in Python Challenge: Writing First Function Use of if/else Statements in Python Functions Challenge: Identifying Positive Values Functions Without Return in Python Challenge: Creating Logging Function Modifying Functions in Python Challenge: Updating Logic of the Function Lambda Functions in Python Challenge: Creating Lambda Function

Python Dictionaries

Dictionaries organize data into key-value pairs, making them a powerful tool for efficient data retrieval.

You can use any immutable type as a dictionary key;
Tuples can serve as keys, but only if they contain strings, numbers, or other tuples;
A dictionary cannot have duplicate keys each key must be unique.
Dictionaries are enclosed within curly brackets{}.

If you want to store information about different countries, you can use country names as dictionary keys, with values stored as tuples.


              123456
            
# Create dictionary
countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 
                  'Germany': (357114, 83783942)}

# Printing dictionary
print(countries_dict)

You access dictionary values using their keys. If the key is a string as in our example, make sure to enclose it in quotation marks. Similar to indexing lists or tuples, you place the key inside square brackets to fetch the corresponding value.


              123456
            
# Dictionary 
countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 
                  'Germany': (357114, 83783942)}

# Information about Canada
print(countries_dict["Canada"])

Everything was clear?

Thanks for your feedback!

Section 4. Chapter 11

Ask AI

Ask anything or try one of the suggested questions to begin our chat

Course Content

Introduction to Python(ihor)

Introduction to Python(ihor)

1. First Acquaintance with Python

The Very First Steps in Python How to Use Comments for Readability Perform Simple Math in Python Handle More Complex Math in Python Bringing Python Fundamentals Together

2. Variables and Types in Python

How to Store Numbers in Python Python Naming Rules for Variables How to Work with Variables in Python Data Types in Python Challenge: Converting Kilometers to Miles Store Text with Strings in Python String Indexing in Python String Slicing in Python Challenge: Retrieving Letters from String String Concatenation in Python

3. Conditional Statements in Python

Boolean Data Type in Python Challenge: Working with Comparison Operators How to Combine Conditions in Python Challenge: Working with Logical Operators Membership Operators and Type Comparisons in Python How to Use if/else Expressions in Python Challenge: Running a Grocery Store Challenge: Creating Odd and Even Logic if/elif/else Expressions Challenge: Running Grocery Store Extended Challenge: Weather Adviser

4. Other Data Types in Python

Python Lists Common List Methods in Python Challenge: Updating List Nested Lists in Python Challenge: Retrieving Information from Nested List Python Tuples Common Tuple Methods in Python Challenge: Updating Tuple Nested Tuples in Python Challenge: Retrieving Information from Nested Tuple Python Dictionaries Challenge: Creating Dictionary Common Dictionary Methods in Python Challenge: Updating Dictionary

5. Loops in Python

Explore the while Loop in Python Challenge: Working with the While Loop Explore the for Loop in Python Challenge: Working with the For Loop Range Function in Python Challenge: Using the Range Function How to Iterate Over Indexes in Python Explore Nested Loops in Python

6. Functions in Python

Built-in Functions in Python Challenge: Converting Heights How to Create Functions in Python Challenge: Writing First Function Use of if/else Statements in Python Functions Challenge: Identifying Positive Values Functions Without Return in Python Challenge: Creating Logging Function Modifying Functions in Python Challenge: Updating Logic of the Function Lambda Functions in Python Challenge: Creating Lambda Function

Python Dictionaries

Dictionaries organize data into key-value pairs, making them a powerful tool for efficient data retrieval.

You can use any immutable type as a dictionary key;
Tuples can serve as keys, but only if they contain strings, numbers, or other tuples;
A dictionary cannot have duplicate keys each key must be unique.
Dictionaries are enclosed within curly brackets{}.

If you want to store information about different countries, you can use country names as dictionary keys, with values stored as tuples.


              123456
            
# Create dictionary
countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 
                  'Germany': (357114, 83783942)}

# Printing dictionary
print(countries_dict)

You access dictionary values using their keys. If the key is a string as in our example, make sure to enclose it in quotation marks. Similar to indexing lists or tuples, you place the key inside square brackets to fetch the corresponding value.


              123456
            
# Dictionary 
countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 
                  'Germany': (357114, 83783942)}

# Information about Canada
print(countries_dict["Canada"])

Everything was clear?

Thanks for your feedback!

Section 4. Chapter 11

some-alt