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Multiple of 3 in Python | Assignment Expert

Problem statement:.

We need to take an integer n as input, then the next n lines will take 1 integer as input. We need to test those n integers whether they are multiples of 3 or not . At last, print the multiples of 3.

Code to find Multiple of 3 in Python:

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Multiple assignment in Python: Assign multiple values or the same value to multiple variables

In Python, the = operator is used to assign values to variables.

You can assign values to multiple variables in one line.

Assign multiple values to multiple variables

Assign the same value to multiple variables.

You can assign multiple values to multiple variables by separating them with commas , .

You can assign values to more than three variables, and it is also possible to assign values of different data types to those variables.

When only one variable is on the left side, values on the right side are assigned as a tuple to that variable.

If the number of variables on the left does not match the number of values on the right, a ValueError occurs. You can assign the remaining values as a list by prefixing the variable name with * .

For more information on using * and assigning elements of a tuple and list to multiple variables, see the following article.

• Unpack a tuple and list in Python

You can also swap the values of multiple variables in the same way. See the following article for details:

• Swap values ​​in a list or values of variables in Python

You can assign the same value to multiple variables by using = consecutively.

For example, this is useful when initializing multiple variables with the same value.

After assigning the same value, you can assign a different value to one of these variables. As described later, be cautious when assigning mutable objects such as list and dict .

You can apply the same method when assigning the same value to three or more variables.

Be careful when assigning mutable objects such as list and dict .

If you use = consecutively, the same object is assigned to all variables. Therefore, if you change the value of an element or add a new element in one variable, the changes will be reflected in the others as well.

If you want to handle mutable objects separately, you need to assign them individually.

after c = []; d = [] , c and d are guaranteed to refer to two different, unique, newly created empty lists. (Note that c = d = [] assigns the same object to both c and d .) 3. Data model — Python 3.11.3 documentation

You can also use copy() or deepcopy() from the copy module to make shallow and deep copies. See the following article.

• Shallow and deep copy in Python: copy(), deepcopy()

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Multiple Assignment Syntax in Python

• python-tricks

The multiple assignment syntax, often referred to as tuple unpacking or extended unpacking, is a powerful feature in Python. There are several ways to assign multiple values to variables at once.

Let's start with a first example that uses extended unpacking . This syntax is used to assign values from an iterable (in this case, a string) to multiple variables:

a : This variable will be assigned the first element of the iterable, which is 'D' in the case of the string 'Devlabs'.

*b : The asterisk (*) before b is used to collect the remaining elements of the iterable (the middle characters in the string 'Devlabs') into a list: ['e', 'v', 'l', 'a', 'b']

c : This variable will be assigned the last element of the iterable: 's'.

The multiple assignment syntax can also be used for numerous other tasks:

Swapping Values

This swaps the values of variables a and b without needing a temporary variable.

Splitting a List

first will be 1, and rest will be a list containing [2, 3, 4, 5] .

Assigning Multiple Values from a Function

This assigns the values returned by get_values() to x, y, and z.

Ignoring Values

Here, you're ignoring the first value with an underscore _ and assigning "Hello" to the important_value . In Python, the underscore is commonly used as a convention to indicate that a variable is being intentionally ignored or is a placeholder for a value that you don't intend to use.

Unpacking Nested Structures

This unpacks a nested structure (Tuple in this example) into separate variables. We can use similar syntax also for Dictionaries:

In this case, we first extract the 'person' dictionary from data, and then we use multiple assignment to further extract values from the nested dictionaries, making the code more concise.

Extended Unpacking with Slicing

first will be 1, middle will be a list containing [2, 3, 4], and last will be 5.

Split a String into a List

*split, is used for iterable unpacking. The asterisk (*) collects the remaining elements into a list variable named split . In this case, it collects all the characters from the string.

The comma , after *split is used to indicate that it's a single-element tuple assignment. It's a syntax requirement to ensure that split becomes a list containing the characters.

5 Best Ways to Take Multiple Inputs from User in Python

💡 Problem Formulation: Given a scenario where a Python application requires multiple user inputs, how can we efficiently collect that data? Let’s say we need to gather several pieces of information, such as the user’s name, age, and favorite color. The objective is to collect these inputs in a seamless and user-friendly manner.

Method 1: Using a For Loop

One of the easiest ways to take multiple inputs in Python is by using a for loop. This allows us to iterate over a fixed number of inputs, prompting the user each time. The function specification for this method involves looping a set number of times and using the input() function within the loop to collect user data.

Here’s an example:

This code uses a for loop to prompt the user three times for input. Each input is appended to a list called ‘responses’, which is then printed out. It’s straightforward and effective for a predetermined number of inputs.

Method 2: Splitting User Input String

Another method involves asking the user to enter all their inputs in one go, separated by a space, and then using the split() function to separate the inputs into a list. This is convenient when you want to reduce the number of prompts to the user.

The above snippet requests all inputs in one prompt and uses the split() function to turn the input string into a list, effectively parsing the separately entered values.

Method 3: Using List Comprehension

For a more Pythonic approach, list comprehensions can be used to collect inputs in a single readable line. This combines looping and list construction into one compact expression. It’s particularly effective when the number of inputs is known and fixed.

This one-liner neatly compresses the for loop from Method 1 into a list comprehension. It’s elegant and concise, which is a hallmark of Pythonic coding practices.

Method 4: Using the map() Function

The map() function can be used to apply a function to every item in an input list. When combined with the input().split() pattern, it can be used to process and transform each piece of user input right away, such as converting them all to integers.

The code takes a single line of input, assumes the user enters three numbers separated by spaces, uses split() to break it into a list of strings, and then map() to convert each string to an integer.

Bonus One-Liner Method 5: Using the input() Function in a Tuple

When exact inputs are needed, a one-liner can often suffice. Python’s ability to unpack a tuple can be used to directly assign multiple inputs. It is a fast and concise way to get a predetermined number of inputs.

This approach uses tuple unpacking to assign the values from consecutive input prompts to predefined variables, thereby setting each individual piece of input directly to its own variable.

Summary/Discussion

• Method 1: Using a For Loop. Simple and easy to implement for a fixed number of inputs. Can become verbose for a large number of inputs.
• Method 2: Splitting User Input String. Efficient for both users and developers. Assumes user input is correctly formatted, risks errors if not.
• Method 3: Using List Comprehension. Compact and Pythonic. Requires prior knowledge of the list comprehension syntax.
• Method 4: Using the map() Function. Good for immediate processing of input data types. Requires casting and could become complex for different input types.
• Bonus Method 5: Using the input() Function in a Tuple. Very concise for a small fixed amount of inputs. Doesn’t loop or handle a variable number of items, and readability could be affected.

Emily Rosemary Collins is a tech enthusiast with a strong background in computer science, always staying up-to-date with the latest trends and innovations. Apart from her love for technology, Emily enjoys exploring the great outdoors, participating in local community events, and dedicating her free time to painting and photography. Her interests and passion for personal growth make her an engaging conversationalist and a reliable source of knowledge in the ever-evolving world of technology.

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• Scratch ActiveCode
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• Peer Instruction: Tuples Multiple Choice Questions
• 11.1 Tuples are Immutable
• 11.2 Comparing Tuples
• 11.3 Tuple Assignment
• 11.4 Dictionaries and Tuples
• 11.5 Multiple Assignment with Dictionaries
• 11.6 The Most Common Words
• 11.7 Using Tuples as Keys in Dictionaries
• 11.8 Sequences: Strings, Lists, and Tuples - Oh My!
• 11.9 Debugging
• 11.10 Glossary
• 11.11 Multiple Choice Questions
• 11.12 Tuples Mixed-Up Code Questions
• 11.13 Write Code Questions
• 11.2. Comparing Tuples" data-toggle="tooltip">
• 11.4. Dictionaries and Tuples' data-toggle="tooltip" >

11.3. Tuple Assignment ¶

One of the unique syntactic features of Python is the ability to have a tuple on the left side of an assignment statement. This allows you to assign more than one variable at a time when the left side is a sequence.

In this example we have a two-element list (which is a sequence) and assign the first and second elements of the sequence to the variables x and y in a single statement.

This isn’t magic! Python roughly translates the tuple assignment syntax to the following:

It’s worth noting that Python does not translate the syntax literally. For example, if you try this with a dictionary, it won’t work as you might expect.

Stylistically, when we use a tuple on the left side of the assignment statement, we omit the parentheses, but the following is an equally valid syntax:

11-9-4: What is associated with the variable ‘x’ once the following code is run?

• Incorrect! The values in random_list are strings, not lists. Try again.
• Incorrect! x is listed before y in the tuple on the left side of the assignment statement, so the first value in random_list should be assigned to x. Try again.
• Correct! This properly assigns the first element of the list to 'x'.

A particularly clever application of tuple assignment allows us to swap the values of two variables in a single statement:

Both sides of this statement are tuples, but Python interprets the left side to be a tuple of variables and the right side to be a tuple of expressions. All of the expressions on the right side are evaluated before any of the assignments. This means that the values of b and a on the right side are evaluated, then a and b on the left side take on their values.

The number of variables on the left and the number of values on the right must be the same:

Write code to swap the values of tuple t.

More generally, the right side can be any kind of sequence (string, list, or tuple). For example, to split an email address into a username and a domain, you could write:

The return value from split() is a list with two elements; the first element is assigned to uname , the second to domain .

11-9-6: What is associated with the variable ‘domain’ once the following code is run?

• hotmail.com
• Correct! The split() method splits the email address at '@'.
• @hotmail.com
• Incorrect! The split() method doesn't include its parameter in any of the elements of its returned list. Try again.
• ['hotmail.com']
• Incorrect! The split() method returns a list of strings, not a list of lists. Try again.

If there’s just one variable but multiple values, it becomes a tuple:

If there’s a mismatched number of variables and values, there’s going to be a ValueError .

Mastering Multiple Variable Assignment in Python

Python's ability to assign multiple variables in a single line is a feature that exemplifies the language's emphasis on readability and efficiency. In this detailed blog post, we'll explore the nuances of assigning multiple variables in Python, a technique that not only simplifies code but also enhances its readability and maintainability.

Introduction to Multiple Variable Assignment

Python allows the assignment of multiple variables simultaneously. This feature is not only a syntactic sugar but a powerful tool that can make your code more Pythonic.

What is Multiple Variable Assignment?

• Simultaneous Assignment : Python enables the initialization of several variables in a single line, thereby reducing the number of lines of code and making it more readable.
• Versatility : This feature can be used with various data types and is particularly useful for unpacking sequences.

Basic Multiple Variable Assignment

The simplest form of multiple variable assignment in Python involves assigning single values to multiple variables in one line.

Syntax and Examples

Parallel Assignment : Assign values to several variables in parallel.

• Clarity and Brevity : This form of assignment is clear and concise.
• Efficiency : Reduces the need for multiple lines when initializing several variables.

Unpacking Sequences into Variables

Python takes multiple variable assignment a step further with unpacking, allowing the assignment of sequences to individual variables.

Unpacking Lists and Tuples

Direct Unpacking : If you have a list or tuple, you can unpack its elements into individual variables.

Unpacking Strings

Character Assignment : You can also unpack strings into variables with each character assigned to one variable.

Using Underscore for Unwanted Values

When unpacking, you may not always need all the values. Python allows the use of the underscore ( _ ) as a placeholder for unwanted values.

Ignoring Unnecessary Values

Discarding Values : Use _ for values you don't intend to use.

Swapping Variables Efficiently

Multiple variable assignment can be used for an elegant and efficient way to swap the values of two variables.

Swapping Variables

No Temporary Variable Needed : Swap values without the need for an additional temporary variable.

Advanced Unpacking Techniques

Python provides even more advanced ways to handle multiple variable assignments, especially useful with longer sequences.

Extended Unpacking

Using Asterisk ( * ): Python 3 introduced a syntax for extended unpacking where you can use * to collect multiple values.

Best Practices and Common Pitfalls

While multiple variable assignment is a powerful feature, it should be used judiciously.

• Readability : Ensure that your use of multiple variable assignments enhances, rather than detracts from, readability.
• Matching Lengths : Be cautious of the sequence length. The number of elements must match the number of variables being assigned.

Multiple variable assignment in Python is a testament to the language’s design philosophy of simplicity and elegance. By understanding and effectively utilizing this feature, you can write more concise, readable, and Pythonic code. Whether unpacking sequences or swapping values, multiple variable assignment is a technique that can significantly improve the efficiency of your Python programming.

What is Multiple Assignment in Python and How to use it?

When working with Python , you’ll often come across scenarios where you need to assign values to multiple variables simultaneously.

Python provides an elegant solution for this through its support for multiple assignments. This feature allows you to assign values to multiple variables in a single line, making your code cleaner, more concise, and easier to read.

In this blog, we’ll explore the concept of multiple assignments in Python and delve into its various use cases.

Understanding Multiple Assignment

Multiple assignment in Python is the process of assigning values to multiple variables in a single statement. Instead of writing individual assignment statements for each variable, you can group them together using a single line of code.

In this example, the variables x , y , and z are assigned the values 10, 20, and 30, respectively. The values are separated by commas, and they correspond to the variables in the same order.

Simultaneous Assignment

Multiple assignment takes advantage of simultaneous assignment. This means that the values on the right side of the assignment are evaluated before any variables are assigned. This avoids potential issues when variables depend on each other.

In this snippet, the values of x and y are swapped using multiple assignments. The right-hand side y, x evaluates to (10, 5) before assigning to x and y, respectively.

Unpacking Sequences

One of the most powerful applications of multiple assignments is unpacking sequences like lists, tuples, and strings. You can assign the individual elements of a sequence to multiple variables in a single line.

In this example, the tuple (3, 4) is unpacked into the variables x and y . The value 3 is assigned to x , and the value 4 is assigned to y .

Multiple Return Values

Functions in Python can return multiple values, which are often returned as tuples. With multiple assignments, you can easily capture these return values.

Here, the function get_coordinates() returns a tuple (5, 10), which is then unpacked into the variables x and y .

Swapping Values

We’ve already seen how multiple assignments can be used to swap the values of two variables. This is a concise way to achieve value swapping without using a temporary variable.

Iterating through Sequences

Multiple assignment is particularly useful when iterating through sequences. It allows you to iterate over pairs of elements in a sequence effortlessly.

In this loop, each tuple (x, y) in the points list is unpacked and the values are assigned to the variables x and y for each iteration.

Discarding Values

Sometimes you might not be interested in all the values from an iterable. Python allows you to use an underscore (_) to discard unwanted values.

In this example, only the value 10 from the tuple is assigned to x , while the value 20 is discarded.

Multiple assignments is a powerful feature in Python that makes code more concise and readable. It allows you to assign values to multiple variables in a single line, swap values without a temporary variable, unpack sequences effortlessly, and work with functions that return multiple values. By mastering multiple assignments, you’ll enhance your ability to write clean, efficient, and elegant Python code.

Related: How input() function Work in Python?

Vilashkumar is a Python developer with expertise in Django, Flask, API development, and API Integration. He builds web applications and works as a freelance developer. He is also an automation script/bot developer building scripts in Python, VBA, and JavaScript.

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