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Built-in Functions | Functions
Introduction to Python Video Course
course content

Conteúdo do Curso

Introduction to Python Video Course

Introduction to Python Video Course

1. Getting Started
2. Variables and Types
3. Conditional Statements
4. Other Data Types
5. Loops
6. Functions

Built-in Functions

Welcome to the world of Python functions! In this chapter, we’ll explore some of Python’s most powerful built-in functions, which serve as essential tools for any Python developer.

First, let's watch as Alex demonstrates how to use some of these essential built-in functions in our grocery store context:

What are Built-in Functions?

Built-in functions are predefined functions that come packaged with Python, ready to be used in your programs without the need for additional code. These functions are designed to handle common tasks, from basic calculations to more complex data manipulations, making your coding life easier and more efficient. For Python developers, understanding and utilizing built-in functions is crucial for writing clean, effective, and concise code.

Python has many built-in functions – throughout this course, you’ve used a few of these functions already, such as print(), len(), range(), and type(), among others.

Let’s get familiar with more commonly used built-in functions:

  • sum(): Adds all the items in an iterable, such as a list, and returns the total. This is particularly useful when working with numerical data;
123
checkout = [2.99, 5.49, 3.99] total = sum(checkout) print(total)
copy
  • max() and min(): These functions return the largest and smallest items in an iterable, respectively. They are great for comparisons and finding extreme values;
123
freezer_temperatures = [38, 32, 41, 34, 40] print(max(freezer_temperatures)) print(min(freezer_temperatures))
copy
  • float(): Converts a number or a string that represents a number into a floating-point number (a number with decimals);
123456
price1 = "3.99" price2 = 12 price1_converted = float(price1) price2_converted = float(price2) print(f"Price as a float: {price1_converted} and ${price2_converted}") print(type(price1_converted))
copy
  • int(): Converts a number or a string that represents a number into an integer (a whole number). This is particularly useful when you need to work with whole numbers or when parsing input data that should be an integer;
12345
price = 3.99 quantity = "4" total_cost = int(quantity) * price print(f"Total cost for {quantity} items is: ${total_cost}") print(f"Converting total_cost into an integer would result in ${int(total_cost)}")
copy
  • sorted(): This function returns a new sorted list from the elements of any iterable, such as lists, tuples, or dictionaries. Unlike the sort() method, which works only on lists and modifies them in place, sorted() does not change the original iterable and works on a broader range of data types;
123
fruit_prices = {"cherries": 3.99, "apples": 2.99, "bananas": 1.49} sorted_prices = sorted(fruit_prices) print(sorted_prices) # Output: keys sorted alphabetically
copy
  • zip(): Combines two or more iterables (e.g., lists) into a single iterable of tuples, pairing elements from each iterable together.
1234567
products = ["apple", "banana", "cherry"] prices = [0.99, 0.59, 2.99] stock = [50, 100, 25] # zip() takes the 3 lists and combines them into a series of tuples # list() converts the zip object into a list product_info = list(zip(products, prices, stock)) print("Product information:", product_info)
copy

Tarefa

In this challenge, you’ll build a simple program that helps manage a shopping cart in a grocery store. You’ll use several built-in Python functions to collect product information, calculate costs, and organize the cart.

Task:

  1. Convert to a Floating Point Number: Ensure that the string "1.78" is converted to a float using the correct built-in function.
  2. Convert to an Integer: Ensure that the string ”3” is converted to an integer using the correct built-in function.
  3. Combine Iterables: Combine the lists of products and prices into a list of tuples using the correct built-in function.
  4. Find the Sum: Calculate the total cost of all items in the cart using the correct built-in function.
  5. Find the Max and Min: Use the correct built-in functions to find the most and least expensive products in the cart.
  6. Ensure the Cart is Sorted: Sort the cart alphabetically by product name using the correct built-in functions.

Tarefa

In this challenge, you’ll build a simple program that helps manage a shopping cart in a grocery store. You’ll use several built-in Python functions to collect product information, calculate costs, and organize the cart.

Task:

  1. Convert to a Floating Point Number: Ensure that the string "1.78" is converted to a float using the correct built-in function.
  2. Convert to an Integer: Ensure that the string ”3” is converted to an integer using the correct built-in function.
  3. Combine Iterables: Combine the lists of products and prices into a list of tuples using the correct built-in function.
  4. Find the Sum: Calculate the total cost of all items in the cart using the correct built-in function.
  5. Find the Max and Min: Use the correct built-in functions to find the most and least expensive products in the cart.
  6. Ensure the Cart is Sorted: Sort the cart alphabetically by product name using the correct built-in functions.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 6. Capítulo 1
toggle bottom row

Built-in Functions

Welcome to the world of Python functions! In this chapter, we’ll explore some of Python’s most powerful built-in functions, which serve as essential tools for any Python developer.

First, let's watch as Alex demonstrates how to use some of these essential built-in functions in our grocery store context:

What are Built-in Functions?

Built-in functions are predefined functions that come packaged with Python, ready to be used in your programs without the need for additional code. These functions are designed to handle common tasks, from basic calculations to more complex data manipulations, making your coding life easier and more efficient. For Python developers, understanding and utilizing built-in functions is crucial for writing clean, effective, and concise code.

Python has many built-in functions – throughout this course, you’ve used a few of these functions already, such as print(), len(), range(), and type(), among others.

Let’s get familiar with more commonly used built-in functions:

  • sum(): Adds all the items in an iterable, such as a list, and returns the total. This is particularly useful when working with numerical data;
123
checkout = [2.99, 5.49, 3.99] total = sum(checkout) print(total)
copy
  • max() and min(): These functions return the largest and smallest items in an iterable, respectively. They are great for comparisons and finding extreme values;
123
freezer_temperatures = [38, 32, 41, 34, 40] print(max(freezer_temperatures)) print(min(freezer_temperatures))
copy
  • float(): Converts a number or a string that represents a number into a floating-point number (a number with decimals);
123456
price1 = "3.99" price2 = 12 price1_converted = float(price1) price2_converted = float(price2) print(f"Price as a float: {price1_converted} and ${price2_converted}") print(type(price1_converted))
copy
  • int(): Converts a number or a string that represents a number into an integer (a whole number). This is particularly useful when you need to work with whole numbers or when parsing input data that should be an integer;
12345
price = 3.99 quantity = "4" total_cost = int(quantity) * price print(f"Total cost for {quantity} items is: ${total_cost}") print(f"Converting total_cost into an integer would result in ${int(total_cost)}")
copy
  • sorted(): This function returns a new sorted list from the elements of any iterable, such as lists, tuples, or dictionaries. Unlike the sort() method, which works only on lists and modifies them in place, sorted() does not change the original iterable and works on a broader range of data types;
123
fruit_prices = {"cherries": 3.99, "apples": 2.99, "bananas": 1.49} sorted_prices = sorted(fruit_prices) print(sorted_prices) # Output: keys sorted alphabetically
copy
  • zip(): Combines two or more iterables (e.g., lists) into a single iterable of tuples, pairing elements from each iterable together.
1234567
products = ["apple", "banana", "cherry"] prices = [0.99, 0.59, 2.99] stock = [50, 100, 25] # zip() takes the 3 lists and combines them into a series of tuples # list() converts the zip object into a list product_info = list(zip(products, prices, stock)) print("Product information:", product_info)
copy

Tarefa

In this challenge, you’ll build a simple program that helps manage a shopping cart in a grocery store. You’ll use several built-in Python functions to collect product information, calculate costs, and organize the cart.

Task:

  1. Convert to a Floating Point Number: Ensure that the string "1.78" is converted to a float using the correct built-in function.
  2. Convert to an Integer: Ensure that the string ”3” is converted to an integer using the correct built-in function.
  3. Combine Iterables: Combine the lists of products and prices into a list of tuples using the correct built-in function.
  4. Find the Sum: Calculate the total cost of all items in the cart using the correct built-in function.
  5. Find the Max and Min: Use the correct built-in functions to find the most and least expensive products in the cart.
  6. Ensure the Cart is Sorted: Sort the cart alphabetically by product name using the correct built-in functions.

Tarefa

In this challenge, you’ll build a simple program that helps manage a shopping cart in a grocery store. You’ll use several built-in Python functions to collect product information, calculate costs, and organize the cart.

Task:

  1. Convert to a Floating Point Number: Ensure that the string "1.78" is converted to a float using the correct built-in function.
  2. Convert to an Integer: Ensure that the string ”3” is converted to an integer using the correct built-in function.
  3. Combine Iterables: Combine the lists of products and prices into a list of tuples using the correct built-in function.
  4. Find the Sum: Calculate the total cost of all items in the cart using the correct built-in function.
  5. Find the Max and Min: Use the correct built-in functions to find the most and least expensive products in the cart.
  6. Ensure the Cart is Sorted: Sort the cart alphabetically by product name using the correct built-in functions.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 6. Capítulo 1
toggle bottom row

Built-in Functions

Welcome to the world of Python functions! In this chapter, we’ll explore some of Python’s most powerful built-in functions, which serve as essential tools for any Python developer.

First, let's watch as Alex demonstrates how to use some of these essential built-in functions in our grocery store context:

What are Built-in Functions?

Built-in functions are predefined functions that come packaged with Python, ready to be used in your programs without the need for additional code. These functions are designed to handle common tasks, from basic calculations to more complex data manipulations, making your coding life easier and more efficient. For Python developers, understanding and utilizing built-in functions is crucial for writing clean, effective, and concise code.

Python has many built-in functions – throughout this course, you’ve used a few of these functions already, such as print(), len(), range(), and type(), among others.

Let’s get familiar with more commonly used built-in functions:

  • sum(): Adds all the items in an iterable, such as a list, and returns the total. This is particularly useful when working with numerical data;
123
checkout = [2.99, 5.49, 3.99] total = sum(checkout) print(total)
copy
  • max() and min(): These functions return the largest and smallest items in an iterable, respectively. They are great for comparisons and finding extreme values;
123
freezer_temperatures = [38, 32, 41, 34, 40] print(max(freezer_temperatures)) print(min(freezer_temperatures))
copy
  • float(): Converts a number or a string that represents a number into a floating-point number (a number with decimals);
123456
price1 = "3.99" price2 = 12 price1_converted = float(price1) price2_converted = float(price2) print(f"Price as a float: {price1_converted} and ${price2_converted}") print(type(price1_converted))
copy
  • int(): Converts a number or a string that represents a number into an integer (a whole number). This is particularly useful when you need to work with whole numbers or when parsing input data that should be an integer;
12345
price = 3.99 quantity = "4" total_cost = int(quantity) * price print(f"Total cost for {quantity} items is: ${total_cost}") print(f"Converting total_cost into an integer would result in ${int(total_cost)}")
copy
  • sorted(): This function returns a new sorted list from the elements of any iterable, such as lists, tuples, or dictionaries. Unlike the sort() method, which works only on lists and modifies them in place, sorted() does not change the original iterable and works on a broader range of data types;
123
fruit_prices = {"cherries": 3.99, "apples": 2.99, "bananas": 1.49} sorted_prices = sorted(fruit_prices) print(sorted_prices) # Output: keys sorted alphabetically
copy
  • zip(): Combines two or more iterables (e.g., lists) into a single iterable of tuples, pairing elements from each iterable together.
1234567
products = ["apple", "banana", "cherry"] prices = [0.99, 0.59, 2.99] stock = [50, 100, 25] # zip() takes the 3 lists and combines them into a series of tuples # list() converts the zip object into a list product_info = list(zip(products, prices, stock)) print("Product information:", product_info)
copy

Tarefa

In this challenge, you’ll build a simple program that helps manage a shopping cart in a grocery store. You’ll use several built-in Python functions to collect product information, calculate costs, and organize the cart.

Task:

  1. Convert to a Floating Point Number: Ensure that the string "1.78" is converted to a float using the correct built-in function.
  2. Convert to an Integer: Ensure that the string ”3” is converted to an integer using the correct built-in function.
  3. Combine Iterables: Combine the lists of products and prices into a list of tuples using the correct built-in function.
  4. Find the Sum: Calculate the total cost of all items in the cart using the correct built-in function.
  5. Find the Max and Min: Use the correct built-in functions to find the most and least expensive products in the cart.
  6. Ensure the Cart is Sorted: Sort the cart alphabetically by product name using the correct built-in functions.

Tarefa

In this challenge, you’ll build a simple program that helps manage a shopping cart in a grocery store. You’ll use several built-in Python functions to collect product information, calculate costs, and organize the cart.

Task:

  1. Convert to a Floating Point Number: Ensure that the string "1.78" is converted to a float using the correct built-in function.
  2. Convert to an Integer: Ensure that the string ”3” is converted to an integer using the correct built-in function.
  3. Combine Iterables: Combine the lists of products and prices into a list of tuples using the correct built-in function.
  4. Find the Sum: Calculate the total cost of all items in the cart using the correct built-in function.
  5. Find the Max and Min: Use the correct built-in functions to find the most and least expensive products in the cart.
  6. Ensure the Cart is Sorted: Sort the cart alphabetically by product name using the correct built-in functions.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Welcome to the world of Python functions! In this chapter, we’ll explore some of Python’s most powerful built-in functions, which serve as essential tools for any Python developer.

First, let's watch as Alex demonstrates how to use some of these essential built-in functions in our grocery store context:

What are Built-in Functions?

Built-in functions are predefined functions that come packaged with Python, ready to be used in your programs without the need for additional code. These functions are designed to handle common tasks, from basic calculations to more complex data manipulations, making your coding life easier and more efficient. For Python developers, understanding and utilizing built-in functions is crucial for writing clean, effective, and concise code.

Python has many built-in functions – throughout this course, you’ve used a few of these functions already, such as print(), len(), range(), and type(), among others.

Let’s get familiar with more commonly used built-in functions:

  • sum(): Adds all the items in an iterable, such as a list, and returns the total. This is particularly useful when working with numerical data;
123
checkout = [2.99, 5.49, 3.99] total = sum(checkout) print(total)
copy
  • max() and min(): These functions return the largest and smallest items in an iterable, respectively. They are great for comparisons and finding extreme values;
123
freezer_temperatures = [38, 32, 41, 34, 40] print(max(freezer_temperatures)) print(min(freezer_temperatures))
copy
  • float(): Converts a number or a string that represents a number into a floating-point number (a number with decimals);
123456
price1 = "3.99" price2 = 12 price1_converted = float(price1) price2_converted = float(price2) print(f"Price as a float: {price1_converted} and ${price2_converted}") print(type(price1_converted))
copy
  • int(): Converts a number or a string that represents a number into an integer (a whole number). This is particularly useful when you need to work with whole numbers or when parsing input data that should be an integer;
12345
price = 3.99 quantity = "4" total_cost = int(quantity) * price print(f"Total cost for {quantity} items is: ${total_cost}") print(f"Converting total_cost into an integer would result in ${int(total_cost)}")
copy
  • sorted(): This function returns a new sorted list from the elements of any iterable, such as lists, tuples, or dictionaries. Unlike the sort() method, which works only on lists and modifies them in place, sorted() does not change the original iterable and works on a broader range of data types;
123
fruit_prices = {"cherries": 3.99, "apples": 2.99, "bananas": 1.49} sorted_prices = sorted(fruit_prices) print(sorted_prices) # Output: keys sorted alphabetically
copy
  • zip(): Combines two or more iterables (e.g., lists) into a single iterable of tuples, pairing elements from each iterable together.
1234567
products = ["apple", "banana", "cherry"] prices = [0.99, 0.59, 2.99] stock = [50, 100, 25] # zip() takes the 3 lists and combines them into a series of tuples # list() converts the zip object into a list product_info = list(zip(products, prices, stock)) print("Product information:", product_info)
copy

Tarefa

In this challenge, you’ll build a simple program that helps manage a shopping cart in a grocery store. You’ll use several built-in Python functions to collect product information, calculate costs, and organize the cart.

Task:

  1. Convert to a Floating Point Number: Ensure that the string "1.78" is converted to a float using the correct built-in function.
  2. Convert to an Integer: Ensure that the string ”3” is converted to an integer using the correct built-in function.
  3. Combine Iterables: Combine the lists of products and prices into a list of tuples using the correct built-in function.
  4. Find the Sum: Calculate the total cost of all items in the cart using the correct built-in function.
  5. Find the Max and Min: Use the correct built-in functions to find the most and least expensive products in the cart.
  6. Ensure the Cart is Sorted: Sort the cart alphabetically by product name using the correct built-in functions.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 6. Capítulo 1
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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