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Introduction to Python Video Course

1. Getting Started

First Steps Comments Simple Math Operations Grocery Calculation Capstone Recap

2. Variables and Types

Data Types Storing Data in Variables Variable Naming Rules Using Variables String Indexing and Length String Slicing and Concatenation Inventory Sorting Capstone Challenge Recap

3. Conditional Statements

Boolean Data Type Combining Conditions Challenge Membership Operators and Type Comparisons Conditional Expressions Capstone Challenge Recap

4. Other Data Types

Lists and List Methods Nested Lists Challenge Tuples and Tuple Methods Tuple Operations Challenge Dictionaries and Dictionary Methods Capstone Challenge Recap

5. Loops

For Loops While Loops Range Function Iterating Over Indexes Challenge Nested Loops Capstone Challenge Challenge Recap

6. Functions

Built-in Functions User Defined Functions Challenge Functions with no `return`Modifying Functions Capstone Challenge Recap

Tuple Operations

While tuples themselves cannot be altered, Python provides operations to create and combine them effectively.

Creation

The tuple() function creates a tuple from an iterable object (strings, sets, lists), allowing for the conversion of lists or other iterables into tuples.

Concatenation

You can join two or more tuples into a new tuple using the + operator, allowing you to combine data sequentially without altering the original tuples.

Note
Remember, that to use tuple methods, like count() and idnex(), you will need to use dot notation, just as we did with list methods.

Let's explore how we can utilize the tuple constructor, concatenation, and tuple methods in a practical application.

Example Application

Imagine you have lists storing items that went on sale over the past 3 months. You need to convert them to tuples, concatenate the tuples, and then determine how many times an item has been put on sale in the last quarter. You also need to determine the index position to locate the first occurrence of an item.


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# Define lists with items that have been put on sale, recording each sale occurrence for different months
janSales_list = ["apples", "oranges", "apples"]
febSales_list = ["bananas", "oranges", "bananas"]
marSales_list = ["apples", "bananas", "apples"]

# Convert the lists to tuples to ensure immutability (unchangeable) 
janSales = tuple(janSales_list)
febSales = tuple(febSales_list)
marSales = tuple(marSales_list)

# Concatenate all monthly sales into a single tuple for the quarter
quarterlySales = janSales + febSales + marSales
print("Consolidated quarterly sales:", quarterlySales)

# Use the `count()` method to determine how many times "apples" have been on sale during the quarter
apples_sale_count = quarterlySales.count("apples")
print("Apples have been on sale:", apples_sale_count, "times.")

# Use the `index()` method to find the first occurrence of "apples" in the quarterly sales
first_apple_sale_index = quarterlySales.index("apples")
print("The first sale of apples this quarter was at index:", first_apple_sale_index)

Завдання

In your grocery store, shelf #1 is being updated with new products. Your task is to manage the contents of this shelf using tuples to ensure data integrity and perform some analytical checks.

Convert a list of new items to a tuple.
Concatenate the new tuple of items with the existing tuple of shelf items.
Count the number of times "celery" appears in the updated shelf.
Find the index of the first occurrence of "celery" in the updated shelf.

Завдання

In your grocery store, shelf #1 is being updated with new products. Your task is to manage the contents of this shelf using tuples to ensure data integrity and perform some analytical checks.

Convert a list of new items to a tuple.
Concatenate the new tuple of items with the existing tuple of shelf items.
Count the number of times "celery" appears in the updated shelf.
Find the index of the first occurrence of "celery" in the updated shelf.

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів

Все було зрозуміло?

Секція 4. Розділ 5

Tuple Operations

While tuples themselves cannot be altered, Python provides operations to create and combine them effectively.

Creation

The tuple() function creates a tuple from an iterable object (strings, sets, lists), allowing for the conversion of lists or other iterables into tuples.

Concatenation

You can join two or more tuples into a new tuple using the + operator, allowing you to combine data sequentially without altering the original tuples.

Note
Remember, that to use tuple methods, like count() and idnex(), you will need to use dot notation, just as we did with list methods.

Let's explore how we can utilize the tuple constructor, concatenation, and tuple methods in a practical application.

Example Application


              123456789101112131415161718192021
            
# Define lists with items that have been put on sale, recording each sale occurrence for different months
janSales_list = ["apples", "oranges", "apples"]
febSales_list = ["bananas", "oranges", "bananas"]
marSales_list = ["apples", "bananas", "apples"]

# Convert the lists to tuples to ensure immutability (unchangeable) 
janSales = tuple(janSales_list)
febSales = tuple(febSales_list)
marSales = tuple(marSales_list)

# Concatenate all monthly sales into a single tuple for the quarter
quarterlySales = janSales + febSales + marSales
print("Consolidated quarterly sales:", quarterlySales)

# Use the `count()` method to determine how many times "apples" have been on sale during the quarter
apples_sale_count = quarterlySales.count("apples")
print("Apples have been on sale:", apples_sale_count, "times.")

# Use the `index()` method to find the first occurrence of "apples" in the quarterly sales
first_apple_sale_index = quarterlySales.index("apples")
print("The first sale of apples this quarter was at index:", first_apple_sale_index)

Завдання

In your grocery store, shelf #1 is being updated with new products. Your task is to manage the contents of this shelf using tuples to ensure data integrity and perform some analytical checks.

Convert a list of new items to a tuple.
Concatenate the new tuple of items with the existing tuple of shelf items.
Count the number of times "celery" appears in the updated shelf.
Find the index of the first occurrence of "celery" in the updated shelf.

Завдання

In your grocery store, shelf #1 is being updated with new products. Your task is to manage the contents of this shelf using tuples to ensure data integrity and perform some analytical checks.

Convert a list of new items to a tuple.
Concatenate the new tuple of items with the existing tuple of shelf items.
Count the number of times "celery" appears in the updated shelf.
Find the index of the first occurrence of "celery" in the updated shelf.

Все було зрозуміло?

Секція 4. Розділ 5

Tuple Operations

While tuples themselves cannot be altered, Python provides operations to create and combine them effectively.

Creation

The tuple() function creates a tuple from an iterable object (strings, sets, lists), allowing for the conversion of lists or other iterables into tuples.

Concatenation

You can join two or more tuples into a new tuple using the + operator, allowing you to combine data sequentially without altering the original tuples.

Note
Remember, that to use tuple methods, like count() and idnex(), you will need to use dot notation, just as we did with list methods.

Let's explore how we can utilize the tuple constructor, concatenation, and tuple methods in a practical application.

Example Application


              123456789101112131415161718192021
            
# Define lists with items that have been put on sale, recording each sale occurrence for different months
janSales_list = ["apples", "oranges", "apples"]
febSales_list = ["bananas", "oranges", "bananas"]
marSales_list = ["apples", "bananas", "apples"]

# Convert the lists to tuples to ensure immutability (unchangeable) 
janSales = tuple(janSales_list)
febSales = tuple(febSales_list)
marSales = tuple(marSales_list)

# Concatenate all monthly sales into a single tuple for the quarter
quarterlySales = janSales + febSales + marSales
print("Consolidated quarterly sales:", quarterlySales)

# Use the `count()` method to determine how many times "apples" have been on sale during the quarter
apples_sale_count = quarterlySales.count("apples")
print("Apples have been on sale:", apples_sale_count, "times.")

# Use the `index()` method to find the first occurrence of "apples" in the quarterly sales
first_apple_sale_index = quarterlySales.index("apples")
print("The first sale of apples this quarter was at index:", first_apple_sale_index)

Завдання

In your grocery store, shelf #1 is being updated with new products. Your task is to manage the contents of this shelf using tuples to ensure data integrity and perform some analytical checks.

Convert a list of new items to a tuple.
Concatenate the new tuple of items with the existing tuple of shelf items.
Count the number of times "celery" appears in the updated shelf.
Find the index of the first occurrence of "celery" in the updated shelf.

Завдання

In your grocery store, shelf #1 is being updated with new products. Your task is to manage the contents of this shelf using tuples to ensure data integrity and perform some analytical checks.

Convert a list of new items to a tuple.
Concatenate the new tuple of items with the existing tuple of shelf items.
Count the number of times "celery" appears in the updated shelf.
Find the index of the first occurrence of "celery" in the updated shelf.

Все було зрозуміло?

While tuples themselves cannot be altered, Python provides operations to create and combine them effectively.

Creation

The tuple() function creates a tuple from an iterable object (strings, sets, lists), allowing for the conversion of lists or other iterables into tuples.

Concatenation

You can join two or more tuples into a new tuple using the + operator, allowing you to combine data sequentially without altering the original tuples.

Note
Remember, that to use tuple methods, like count() and idnex(), you will need to use dot notation, just as we did with list methods.

Let's explore how we can utilize the tuple constructor, concatenation, and tuple methods in a practical application.

Example Application


              123456789101112131415161718192021
            
# Define lists with items that have been put on sale, recording each sale occurrence for different months
janSales_list = ["apples", "oranges", "apples"]
febSales_list = ["bananas", "oranges", "bananas"]
marSales_list = ["apples", "bananas", "apples"]

# Convert the lists to tuples to ensure immutability (unchangeable) 
janSales = tuple(janSales_list)
febSales = tuple(febSales_list)
marSales = tuple(marSales_list)

# Concatenate all monthly sales into a single tuple for the quarter
quarterlySales = janSales + febSales + marSales
print("Consolidated quarterly sales:", quarterlySales)

# Use the `count()` method to determine how many times "apples" have been on sale during the quarter
apples_sale_count = quarterlySales.count("apples")
print("Apples have been on sale:", apples_sale_count, "times.")

# Use the `index()` method to find the first occurrence of "apples" in the quarterly sales
first_apple_sale_index = quarterlySales.index("apples")
print("The first sale of apples this quarter was at index:", first_apple_sale_index)

Завдання

In your grocery store, shelf #1 is being updated with new products. Your task is to manage the contents of this shelf using tuples to ensure data integrity and perform some analytical checks.

Convert a list of new items to a tuple.
Concatenate the new tuple of items with the existing tuple of shelf items.
Count the number of times "celery" appears in the updated shelf.
Find the index of the first occurrence of "celery" in the updated shelf.

Секція 4. Розділ 5