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Multiple of any given number can be determined by following basic rules.

Suppose we need to extract a multiple of a given number x and require to find n multiples for x.

Here is a list of n multiples for a given number x

X*1, X*2, x*3 .. X*n

We will strongly recommend you first try to write a program to generate multiples as explained above.

Now we will explore how to generate multiples of a number in python . Let's start to learn in the following step-by-step manner.

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Print multiples of a given number using while loop, find multiples of a number using range function and for loop, check if the number is multiple of m in python, find multiple of any given number in the list & range of numbers, how to assign multiple values to one variable in python.

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For demonstration purposes, we will see the following program to print multiples of 5 in Python using a while loop

Explanation:

• Created function getMultiples function to generate number_of_multiples for given number num.
• Running while loop until indexing variable it meets condition i
• Call getMultiples to get a list of multiples of 5.

Let's understand with the following example of printing multiples of 3 using the range.

• Here the range function is constructed with the start value as 1 (inclusive) and stop value as number_of_multiples+1 (exclusive) so that the for loop can iterate from 1 to number_of_multiples times.
• Executing a for loop over a range of specified values
• Multiply the loop index by num and print to get the desired multiples as shown above.

To ensure whether a given number is multiple of m we need to check if that number is divisible by m or not.

So for this purpose, we will check the use of the Python modulo operator (%) to calculate the remainder of a division. We can mark m as a multiple of a given number If the remainder is zero.

Below example to check if a given number is a multiple of 5 in Python

Here is what the above code means:

Condition num % check_with == 0 return True if num is divisible by check_with that means remainder is zero otherwise will return False .

Here is the code demonstrating how to find multiples of 3 in the list and range as below:

Code Explanation:

• Created function isMultiple as described in the previous example.
• Loop through a range of numbers and pass a range of numbers to isMultiple to check if divisible by 3 or not. Printed if divisible.
• Loop through list nums and check if divisible by 3 bypassing each list element to isMultiple function and print that meets the condition.

In Python, it's not directly allowed to assign multiple values to a single variable but there is a workaround to achieve this please find below some effective ways:

• Create an immutable list of values.
• Useful for a fixed number of values.
• Create a mutable ordered collection of items.
• Add/modify/remove items from the list

3. Dictionaries:

• Used to Store data values in key-value pairs, where keys are unique and values can be of any type of object in Python such as an integer, string, or list
• Ideal for associating meaningful names as keys with values.

4. Classes (for complex scenarios):

• Creation of custom data types through class definitions with attributes and methods.
• Best usage for modeling real-world objects and their relationships.

Important points:

• Choose the correct data structure based on your use cases: 1) Use tuples for a fixed number of values. 2) Use lists for Add/modify/remove items from the list 3) Use Dictionaries for key-value pair associations 4) Use Classes for Creation of custom data types through class definitions
• Don’t forget to unpack values correctly while using them as individual variables.

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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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Assignment Operators in Python

Operators are used to perform operations on values and variables. These are the special symbols that carry out arithmetic, logical, bitwise computations. The value the operator operates on is known as Operand .

Here, we will cover Assignment Operators in Python. So, Assignment Operators are used to assigning values to variables. 

Now Let’s see each Assignment Operator one by one.

1) Assign: This operator is used to assign the value of the right side of the expression to the left side operand.

2) Add and Assign: This operator is used to add the right side operand with the left side operand and then assigning the result to the left operand.

Syntax: 

3) Subtract and Assign: This operator is used to subtract the right operand from the left operand and then assigning the result to the left operand.

Example –

 4) Multiply and Assign: This operator is used to multiply the right operand with the left operand and then assigning the result to the left operand.

 5) Divide and Assign: This operator is used to divide the left operand with the right operand and then assigning the result to the left operand.

 6) Modulus and Assign: This operator is used to take the modulus using the left and the right operands and then assigning the result to the left operand.

7) Divide (floor) and Assign: This operator is used to divide the left operand with the right operand and then assigning the result(floor) to the left operand.

 8) Exponent and Assign: This operator is used to calculate the exponent(raise power) value using operands and then assigning the result to the left operand.

9) Bitwise AND and Assign: This operator is used to perform Bitwise AND on both operands and then assigning the result to the left operand.

10) Bitwise OR and Assign: This operator is used to perform Bitwise OR on the operands and then assigning result to the left operand.

11) Bitwise XOR and Assign:  This operator is used to perform Bitwise XOR on the operands and then assigning result to the left operand.

12) Bitwise Right Shift and Assign: This operator is used to perform Bitwise right shift on the operands and then assigning result to the left operand.

 13) Bitwise Left Shift and Assign:  This operator is used to perform Bitwise left shift on the operands and then assigning result to the left operand.

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10.5: Multiple assignment with dictionaries

• Last updated
• Save as PDF
• Page ID 3174

• Chuck Severance
• University of Michigan

Combining items , tuple assignment, and for , you can see a nice code pattern for traversing the keys and values of a dictionary in a single loop:

Code 10.5.1 (Python)

This loop has two iteration variables because items returns a list of tuples and key, val is a tuple assignment that successively iterates through each of the key-value pairs in the dictionary.

For each iteration through the loop, both key and value are advanced to the next key-value pair in the dictionary (still in hash order).

The output of this loop is:

Again, it is in hash key order (i.e., no particular order).

If we combine these two techniques, we can print out the contents of a dictionary sorted by the value stored in each key-value pair.

To do this, we first make a list of tuples where each tuple is (value, key) . The items method would give us a list of (key, value) tuples, but this time we want to sort by value, not key. Once we have constructed the list with the value-key tuples, it is a simple matter to sort the list in reverse order and print out the new, sorted list.

By carefully constructing the list of tuples to have the value as the first element of each tuple, we can sort the list of tuples and get our dictionary contents sorted by value.

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.

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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