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Introduction to Golang Concurrency

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Syntax of Golang Concurrency

Below is a simple syntax for the concurrency of the go language, We can explain the below go, here in the below first we have written a function with the name name-of-function and this function contains several expressions. These expressions can be any calculation and some other tasks. Now suppose we wanted to run expression 1, expression 2, and expression 3 at the same time we want to execute the expression, or very simply we want to concurrently execute them. So we can use the sleep and this will allow us to control execute them at the same time.

Please see the below syntax for a better understanding.

func name-of-function(){ } go name-of-function() How Does Concurrency Work in Go language?

Before going to discuss the working of the concurrency in go language let us understand the basic concept and uses of the concurrency in the Go language. You have seen YouTube video, if you will see there are always two things that will be happening at one time one is the playing of the video and another is the buffering of the video. This means even you pause the video buffering happens, and after that even inter gone which means in offline mode also you will be able to play the video. This all happening because of the concurrency, which is allowing the application to run at one time, and at the same time, it allows us to buffer the video for capturing the video for offline mode. All these things are happening just because of the concurrency. So basically in concurrency first one particular task will run and in the meanwhile, sleep function will be called which will give space to run another task. We have already discussed the goroutine, basically, it is a call between two goroutines, go language there will be multi goroutine and there will be one main goroutine, every goroutine will fall under the main goroutine and if the main goroutine will terminate then other all go routine all be terminated. We can discuss point to point to the working of the concurrency of the.

Concurrency allows you to use goroutine which is blockers, you know once a go routine gets called it will block for execution of others.

Hence with the help of sleep, we will be able to call concurrent goroutine.

Every goroutine belongs to the main goroutine in go language and if the main goroutine will be terminated then all other goroutines will also terminate.

Examples to Implement Golang Concurrency

In the below we have given three examples, these examples explain the way of working of the concurrency. If we wanted to execute this code then we can take the example and pass them on any file and run the command go run chúng tôi and we can see the output.

Example #1

Below is a simple example where we are calling a function show and this call continuously prints the data, but here we are not printing data in the concurrency, which means we are printing one by one.

Code:

package main import "fmt" func show(name string) { for i := 0; i< 6; i++ { fmt.Println(name) } } func main() { go show("Ajay") show("Ranjan") }

Example #2

In the below example we have a function called the show and that function is defined with the help of the go keyword and then this show function called, inside the function definition we have written the logic to print the param passed to the function show and each time when it get called it will be print the param. Now the question is we want to execute then concurrently which means together execution of these two go show(“Ajay”) and show(“Ranjan”). So we have written a sleep function inside the show definition, it will allow two simultaneous calls to the function for executions. See the example output first it is printing Ajay and then it printing Ranjan, this way it will keep printing both the names are getting a chance to print.

Code:

package main import ( "fmt" "time" ) func show(name string) { for i := 0; i< 6; i++ { time.Sleep(1 * time.Second) fmt.Println(name) } } func main() { go show("Ajay") show("Ranjan") }

Output:

Example #3

Code:

package main import ( "fmt" "time" ) func main() { fmt.Println("Hello , friends how are you") go func() { fmt.Println("How are you doing ") }() time.Sleep(2 * time.Second) fmt.Println("We have done with the discussion") }

Output:

Conclusion

From this tutorial we learned the basic concept of concurrency in the Go language, we learned the syntax and the working way of the concurrency in the Go language. We also focus on some of the examples with their explanation which revealed the working of the concurrency in go language.

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How Does Wait Function Work In Lua

Introduction to Lua wait.

The Lua wait is a function used when multiple processes simultaneously and want the primary process to stop for a given time. It is a method useful for stopping or delays the parent process until the child process is not working completely. It helps to reduce complications of the multiple processes at a time and work orderly. This function helps to stop or sleep parent thread for a minute, second, and millisecond and child thread within time. It helps to stop the parent thread for the child thread procedure and start the parent thread process after finish the child thread process. This method gives sleep time to work multiple thread procedures together without any critical issues.

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Syntax of Lua wait

Given below is the syntax of Lua wait:

function wait(unit of time) Lua source codes for wait function… end wait(required time)

Explanation:

The “wait (unit of time)” is a method used to give the unit of time like a minute, second, and millisecond to stop the working procedure.

Example:

Code:

function wait ( millisecond ) end

The source code assigns the time to thread procedure for multiple operations.

The wait function delays the time in the millisecond using syntax example.

The wait (required time) is a function using forgiven time as per the user’s requirements.

Example:

wait( 1 )

The wait function is to stop the time to parent thread for one (1) millisecond.

How does wait Function Work in Lua?

Step 1: Lua programming IDE Environmental Setup.

The Lua text editor, Lua compiler, and Lua interpreter install in your computer as per the operating system and software version.

Or

It does not have software; then, you can use Lua Online IDEs for coding and start Lua programming.

Step 2: Create the Lua File.

The Lua file creates with the .lua extension and writes a source code.

Step 3: Creates the wait function with the time unit argument.

Code:

function wait(millisecond) write a code for the Lua wait function… end

Step 4: Create a variable with the operating system time.

Code:

local ostime_vrbl = os.time()

Step 5: Print the running time of the system.

print( "timing of Lua wait function: ", ostime_vrbl );

Step 6: Create a Lua wait method with the given time.

Code:

wait(0.5);

Combine the procedure of the Lua waits for demo example.

Code:

function wait(millisecond) local ostime_vrbl = os.time() print( "timing of Lua wait function: ", ostime_vrbl ); end wait(0.5); Examples of Lua wait

Given below are the examples mentioned:

Example #1

The Lua wait function with millisecond example and output.

Code:

function wait(millisecond) local ostime_vrbl = os.time() + millisecond print( "timing of Lua wait function: ", ostime_vrbl ); end wait(0.5); wait(1); wait(1.5); wait(2); wait(2.5); wait(3);

Output:

The example is using a millisecond unit of time for function.

Example #2

Function with the second example and output.

Code:

function wait(second) local ostime_vrbl = os.time() + second print( "timing of Lua wait function: ", ostime_vrbl ); end wait(1); wait(1.5); wait(2); wait(3); wait(4); wait(5);

Output:

Explanation:

The example is using the second unit of time for function.

Example #3

Function with millisecond and second Example and output.

Code:

function wait(second, millisecond) local ostime_vrbl = os.time() + second, millisecond print( "timing of Lua wait function: ", ostime_vrbl ); end wait(1, 2); wait(1, 0.5); wait(2, 1); wait(3, 0.7); wait(4); wait(5, 0);

Output:

Explanation:

The example is using the second and millisecond unit of time for function.

If we use two units of time, then the user either uses both time units or a single time unit.

Example #4

Lua wait function with “do while” condition example and output.

Code:

function wait(second, millisecond) local ostime_vrbl = os.time() + second, millisecond; while os.time() < ostime_vrbl do end print( "timing of Lua wait function: ", ostime_vrbl ); end wait(1, 2); wait(1, 0.5); wait(2, 1); wait(3, 0.7); wait(4); wait(5, 0);

Output:

Explanation:

The example is using the second and millisecond unit of time for the Lua wait function.

The Lua wait function is using the “do while” condition for comparison time.

If the operating system time is less than the given time, then the wait function works.

Example #5

Code:

function wait(second, millisecond) local ostime_vrbl = os.time() +  millisecond; repeat until os.time() < ostime_vrbl print("timing of Lua wait function: ", ostime_vrbl); end wait(1, 2); wait(1, 0.5); wait(2, 1); wait(3, 0.7); wait(4, 1); wait(5, 0);

Output:

Explanation:

The example is using the second and millisecond unit of time for the Lua wait function.

It is used milliseconds to return the time value.

This function is using the “repeat” condition for comparison time.

If the operating system time is less than the given time, then the wait function works.

Example #6

Function with compares time and variable example and output.

Code:

function wait(second, millisecond) local ostime_vrbl = os.time() + second, millisecond; print( "timing of Lua wait function: ", ostime_vrbl ); end wait(1, 2); wait(1, 0.5); wait(2, 1); wait(3, 0.7); wait(4); wait(5, 0);

Output:

Explanation:

The example is using the second and millisecond unit of time for the Lua wait function.

The Lua wait function is using the “do while” condition for comparison time.

If the operating system time is greater than the given time, then the wait function works.

Example #7

Lua waits with zero second example and output.

Code:

function wait(second, millisecond) local ostime_vrbl = os.time() + second, millisecond; while os.time() < ostime_vrbl do end print( "timing of Lua wait function: ", ostime_vrbl ); end wait(0);

Output:

Explanation:

The example is using the second and millisecond unit of time for the function.

The wait method does not use empty or nil values until an error occurred.

The user must give zero (0), millisecond, second, or minute inside for the wait method.

Conclusion

The Lua wait function helps to avoid complications of multiple operations. This function makes easy, elegant, and sophisticated applications. This function makes a fast, error-free application.

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How Does Subroutine Function Work In Perl?

Introduction to Perl Subroutine

Perl Subroutine is used to reusable code using a subroutine that we can use code, again and again, there is no need to repeatedly write the code. We can create our own functions it is called a subroutine. Subroutines are very important to improve the code reusability. It is also used to improve the code readability, using subroutine we can improve the code readability of our program. To use subroutine in our program we need to define or need to create it first, after creating then we call a subroutine in our code.

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Syntax of Perl Subroutine

1. Defining a subroutine: To use subroutine in our program we need to create it first and then we need to call in our program. Below syntax shows define or create a subroutine in perl are as follows.

Syntax:

Sub subroutine_name  -- Name of subroutine that we have defining. { Statements;    -- Statement to be used in body of the subroutine. Return; }

2. Calling Subroutine: In perl we calling subroutine by passing a list of arguments. Below syntax shows calling a subroutine in perl are as follows.

Syntax:

subroutine_name (arguments_list); -- List of arguments which was used with subroutine. Parameters of Perl Subroutine

Below is the parameter description syntax of the subroutine in Perl is as follows.

Subroutine Name: It is very important while creating subroutine. We have defined any name to subroutine while creating the same. The subroutine name is the name that we have defined to the subroutine.

Statement: The statement is defined as a block or body of the code of subroutine. This code is written under the body of the subroutine. We can define one or more statement in the body of the subroutines.

Return: This is defined as the return an argument to its calling functions or subroutines. We can return no of arguments to the calling function in perl.

Argument List: This is defined as arguments which we have used at the time of calling a subroutine in Perl. We have pass one or more arguments at the time of calling a subroutine in Perl.

How Does Subroutine Function work in Perl?

Below is the working of the subroutine is as follows. Below is the important use of subroutine in perl.

Reusability of code.

Improve the code readability.

The subroutine is used to improve code reusability. If we want to take input from the user multiple times at the same time we have creating subroutine and then we call the subroutine in our program whenever we need it.

We can improve the code reusability while using the subroutine in our program. After using subroutine there is no need to write it again and again.

We can create our own functions it is called subroutines.

To use subroutine in our program we need to define or need to create it first, after creating then we call the same in our code.

It is used to reusability of code using subroutine we can use code, again and again, there is no need to write the code again and again.

It is also used to improve the code readability, using subroutine in perl we can improve the code readability of our program.

Subroutines is very important and useful to improve code reusability and readability.

It or function is a group or statement that used together to perform a task. We can divide our code into separate subroutines.

To divide subroutine into separate subroutines is depends on the developer but we can divide it logically based on the function which performed a specific task.

In the subroutine, function and method are the same but in other languages this is different.

The subroutines are used in perl programming language because subroutine in Perl created by using sub keyword.

When we have called to function or subroutines in our program, perl compiler will stop its all executing program and goes to execute the function to execute the same and then return back to execute the remaining section code.

We have avoided this by using the return statement in our program.

Examples

Below is the example of the subroutine in Perl is as follows.

Example #1

Passing Arguments to Subroutine: Below example shows passing arguments to a subroutine.

Code:

# Defining function in perl. sub Average { # Dispay number of arguments. $number = scalar(@_); $sum_of_num = 0; foreach $item (@_) { $sum_of_num += $item; } $average_of_num = $sum_of_num / $number; print "Average of numbers : $average_of_numn"; } # Calling function average to define average of given numbers. Average(100, 200, 300, 400, 500);

Example #2

Passing List to Subroutine: Below example shows passing a list to a subroutine.

Code :

# Defining function in perl with list as arguments. sub sub_PrintList { my @sub_list = @_; print "Given list @sub_listn"; } $p = 1; @q = (2, 3, 4, 5, 6, 7, 8, 9, 10);  ## Provide list as user input. # Function call with list parameter sub_PrintList($p, @q);

Output:

Example #3

Passing Hashes to Subroutine: Below example shows passing a hashes to a subroutine. In the below example, we have to pass the hashes to the subroutine.

Code:

# Defining function in perl with hashes as arguments. sub sub_PrintHash { my (%sub_hash) = @_; foreach my $key ( keys %sub_hash ) { my $hash_value = $sub_hash{$key}; print "$key : $hash_valuen"; } } # Function call with hashes parameter sub_PrintHash(%sub_hash);

Example #4

Returning Value from a Subroutine: The below example shows returning a value from a subroutine. In the below example, we have to return value from a subroutine.

Code:

# Defining function in perl. sub Average { $number = scalar(@_); $sum_number = 0; foreach $item (@_) { $sum_number += $item; } $average_num = $sum_number / $number; return $average_num; } # Function call $num = Average(10, 20, 30, 40, 50, 60, 70, 80, 90, 100); print "Average for numbers : $numn";

Output:

Conclusion

In perl we can create our own functions it is called as subroutines, subroutines is very important to improve the code reusability. It is used to reusability of code using subroutine we can use code again and again, there is no need to write the code again.

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How Does The Round Operation Work In Pyspark?

Introduction to PySpark Round

Round is a function in PySpark that is used to round a column in a PySpark data frame. It rounds the value to scale decimal place using the rounding mode. PySpark Round has various Round function that is used for the operation. The round-up, Round down are some of the functions that are used in PySpark for rounding up the value.

The round function is essential in PySpark as it rounds up the value to the nearest value based on the decimal function. The return type of the Round function is the floating-point number. The round function offers various options for rounding data, and we decide the parameters based on the rounding requirement.

Syntax:

The syntax for the function is:

from pyspark.sql.functions import round, col b.select("*",round("ID",2)).show()

b: The Data Frame used for the round function.

select():  You can use the select operation. This syntax allows you to select all the elements from the Data Frame.

round(): The Round Function to be used

It takes on two-parameter:

The Column name and the digit allowed the possible round-up number.

Screenshot:

How does the ROUND operation work in PySpark?

The round operation works on the data frame column, taking the column values as the parameter and iterating over the column values to round up the items. It accepts one parameter from which we can decide the position to which the rounding off needs to be done. If you don’t provide any parameters, the function will round to the nearest value and return a data frame from it.

Let’s check the creation and usage with some coding examples.

Examples

Let’s see a few examples. Let’s start by creating simple data.

data1 = [{'Name':'Jhon','ID':21.528,'Add':'USA'},{'Name':'Joe','ID':3.69,'Add':'USA'},{'Name':'Tina','ID':2.48,'Add':'IND'},{'Name':'Jhon','ID':22.22, 'Add':'USA'},{'Name':'Joe','ID':5.33,'Add':'INA'}]

A sample data is created with Name, ID, and ADD as the field.

a = sc.parallelize(data1)

RDD is created using sc. parallelize.

b = spark.createDataFrame(a) b.show()

Created Data Frame using Spark.createDataFrame.

Output:

Let us round the value of the ID and use the round function on it.

b.select("*",round("ID")).show()

This selects the ID column of the data frame and works over each and every element rounding up the value out of it. The data frame generates a new column, which you can further use for analysis.

The ceil function is a PySpark function that is a Round-up function that takes the column value and rounds up the column value with a new column in the PySpark data frame.

from pyspark.sql.functions import ceil, col b.select("*",ceil("ID")).show()

Output:

This is an example of a Round-Up Function.

The floor function is a round-down function that takes the column value and rounds down the column value with a new column in the data frame.

from pyspark.sql.functions import floor, col b.select("*",floor("ID")).show()

This is an example of the Round Down Function.

Output:

The round function Rounds the column value to the nearest integer with a new column in the PySpark data frame.

b.select("*",round("ID")).show()

Output:

The round-off function takes up the parameter and rounds it up to the nearest decimal place with a new column in the data frame.

b.select("*",round("ID",2)).show()

Output:

Note:

ROUND is a ROUNDING function in PySpark.

It rounds up the data to a given value in the Data frame.

You can use it to round up or down the values in a Data Frame.

PySpark ROUND function results can create new columns in the Data frame.

It uses the function ceil and floor for rounding up the value.

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How Does The Chargeback Process Work?

When you launch a new product or service, there is always the risk that it may not be fully financially viable. You might want to take into account the fact that people may not see your product in the best light, either because they are too impatient or too uneducated about what you’re offering.

What Is The Chargeback Process?

The chargeback process can be defined as a reimbursement of a buyer’s transaction that purchases with their credit card. This might seem like a simple process, but it is not. Chargebacks, along with their nearly identical counterpart reversals, are something that you need to take very seriously.

The chargeback process is a way for customers to receive their money back when they do not get the product or service they were promised. A chargeback occurs when a customer initiates a request with the credit card company to revoke or reverse the charges that they authorized on their card.

The main two reasons why someone would initiate this kind of action are that either they didn’t receive their product or service according to what was agreed upon, or they believed that they were charged twice, and both cases can be problematic.

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Who Are The Participants In The Chargeback Process?

In the chargeback process, there are five main participants: the customer, the merchant, the issuing bank, the acquiring bank, and the credit card network. The first one is the customer who initiates the chargeback. They can be any person who has a card and gets charged for a product or service that they didn’t receive.

The second participant is the merchant who sold the product or service to this customer. The third participant is the issuing bank in the chargeback process. This is a bank that made the card and, therefore, can be contacted by the acquiring bank when a chargeback occurs in order to clarify any necessary details.

How Can Merchants Fight Chargebacks?

When a customer initiates a chargeback against you, you need to respond to this request because, in another way, you’ll be charged. So the right way for any merchant is to appeal the chargeback using the following evidence:

The date of transaction.

Delivery verification.

All the transaction history.

All the communications between the customer and cardholder about the order.

Any information about the order delivery.

There may be any other evidence depending on the substance of the claim.

What Happens When You Accept A Chargeback?

When you accept chargeback, any amount you were supposed to pay to the customer will be subtracted from your bank account, and you have nothing left. This might be difficult to accept, especially if this is the first time this has happened, not only because you’re not used to it but also because there are always ways to avoid chargebacks.

When you agree to a chargeback, you’ll be charged and pay the transaction fee. Then your funds will be removed from your account, and the money will be returned to the person who initiated the chargeback.

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What Are The Best Ways To Prevent Chargebacks?

Your best way to prevent chargebacks is to handle them properly before they happen. Make sure that customers have complete confidence in your products or services. If they’re not satisfied, they’ll probably initiate a chargeback.

What Happens After The Chargeback Process?

The chargeback process will end up in one of the following three outcomes, which are:

A merchant refuses a chargeback. This is the hardest thing to accept because you might think this situation is impossible. Yes, it is possible if you do everything right to prevent this from happening. However, if the customer does not have evidence to support his claim, he might not even get charged back.

Retain the transaction and file an appeal. If your customer’s claim is valid but with some changes or modifications, see that that could still be a success for your business, follow this last route.

Appeal the case against the customer. You will have a lot of information on your side, which means you could win the chargeback, but it may be difficult to convince your bank.

Conclusion

Chargebacks are a reality for every merchant. However, it is possible to prevent them from happening, and it is possible to be victorious in the end if you follow these guidelines carefully. You need to know some important aspects about chargebacks, which will help you keep the numbers in your favor.

How Does Collect Function Work In Scala With Examples

Introduction to Scala collect.

Collect function is used to collect elements from the given collection. Collect function can be used with the collection data structure to pick up some elements which satisfy the given condition. Collect function can be used with the mutable and immutable collection data structure in scala. It always returns us the new collection containing all the elements that satisfy the condition; this condition is referred to as the Partial function. That means it took the partial function and applied it to the all the values present inside the given collection.

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We know that it is a function available in Scala, which takes up the partial function as the parameter and will be applied on all the variables present inside it and return us the elements that satisfy the condition.

Let’s see the syntax of this function.

This is the syntax as per the scala doc:

def collect[B](pf: PartialFunction[A, B]): Traversable[B] mylistName.collect(Your_partial_function)

As you can see in the above lines of code, we can call this function on our collection object by specifying a partial function inside it as the parameter. So after calculating the values, it will return us a new collection with result values inside it.

How does collect Function Work in Scala?

We know that the collect function in scala to collect the element from a collection that are of the same type. We can call this function on any collection type, whether it is mutable or immutable. It will always return us the new collection as a result of the given collection element.

Method signature:

def collect[B](pf: PartialFunction[A, B]): Traversable[B] (This is as per the scala documentation)

1. Partial Function

The collect function takes a partial function as the parameter. This partial function will be responsible for performing the operation on the each element of the collection. It will pick out all the elements from the given collection that will satisfies the partial function.

Syntax:

In the above lines of code, we can define a partial function, what it will take and what it is going to return. This is simple to use and readable also.

val demo: PartialFunction[String, String] = { }

In the above lines of code, we are creating one partial function which will take up the string parameter and return us the string. In this way, we can specify our type what we want from the given collection.

2. Return Type

Collect function will always return us the new collection, which will contain all the elements from the given collection data structure.

Example:

object Main extends App{ val mysequence: Seq[Any] = Seq("hello", "hello again", 40, "bye", 60, 80, 100, "i am strinf as well !!") }

It is just a simple program in which we are creating a sequence of ‘any’ type in scala; also, we are specifying the different type of element inside it, for instance, string and integer. But we want to extract only the string elements from the collection, so we call the collect method and pass our partial function to match only the string. In this way, we can use a collect function in scala.

Points to be remembered while using a collect function in scala:

This can be used with the mutable and immutable collection data structure.

This function takes a partial function as the argument; this function will calculate and pick up the elements which satisfies the given condition. Always it will return as a result in the form of a new collection contain all the element.

Examples of Scala collect.

Given below are the examples of Scala collect:

Example #1

In this example, we are creating a sequence collection of any type. Using the collect function, we are trying to extract the integer, string, and double values from the given collection data structure in the scala.

object Main extends App{ println("Demo to understand collect function in scala !!") println("Extrat only string values ::") val mysequence1: Seq[Any] = Seq("hello", "hello again", 40, "bye", 60, 80, 100, "i am string as well !!") println("Result is ::") println(result1) println("***********************************************************************") println("Extrat only integer values ::") val mysequence2: Seq[Any] = Seq("Amit", 200, 20.1, "sumit", 300, 30.2, "Geet", 400 , 40.1, "vinit", 500, 50.1) println("Result is ::") println(result2) println("***********************************************************************") println("Extrat only double values ::") val mysequence3: Seq[Any] = Seq("Amit", 200, 20.1, "sumit", 300, 30.2, "Geet", 400 , 40.1, "vinit", 500, 50.1) println("Result is ::") println(result3) }

Output:

Example #2

In this example, we are trying to fetch the float value from the collect data structure. Here also we are using the collect function to extract the element from the collection. Also, we are not using any library; this is an in build function available in scala.

Code:

object Main extends App{ println("Demo to understand collect function in scala !!") println("Extrat only float values ::") val mysequence1: Seq[Any] = Seq(2.1f, "test 1", "test2", 5.7f, "test 3", "test 4", "tets 5", 8890, 1.0f, 8.9f, 2.4f) println("Result is ::") println(result1) println("***********************************************************************") }

Output:

Conclusion

By using the collect function, we can easily extract the data from the collection, which are of the same type. Also, we can use this function with any mutable and immutable collection data structure, which makes it more easy and more handy to use.

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