Learn Java by Example: Java Program to Convert Milliseconds to Minutes and Seconds

Hits: 17

Java Program to Convert Milliseconds to Minutes and Seconds

In the above program, you’ll learn to convert milliseconds to minutes and seconds individually, and together in Java.

 


Example 1: Convert milliseconds to minutes and seconds individually


import java.util.concurrent.TimeUnit;

public class Milliseconds{

    public static void main(String[] args){
        long milliseconds = 1000000;

        // long minutes = (milliseconds / 1000) / 60;
        long minutes = TimeUnit.MILLISECONDS.toMinutes(milliseconds);

        // long seconds = (milliseconds / 1000);
        long seconds = TimeUnit.MILLISECONDS.toSeconds(milliseconds);

        System.out.format("%d Milliseconds = %d minutesn", milliseconds, minutes );
        System.out.println("Or");
        System.out.format("%d Milliseconds = %d seconds", milliseconds, seconds );

    }
}

Output

1000000 Milliseconds = 16 minutes
Or
1000000 Milliseconds = 1000 seconds

In the above program, we’ve converted given milliseconds to minutes using toMinutes() method. Likewise, we used toSeconds() method to convert it to seconds.

We can also use basic math to convert it to minutes and seconds.

Seconds = Milliseconds / 1000

while minutes is

Minutes = Seconds / 60
or
Minutes = (Milliseconds / 1000) / 60

Example 2: Convert Milliseconds to Minutes and Seconds


public class Milliseconds{

    public static void main(String[] args){
        long milliseconds = 1000000;

        long minutes = (milliseconds / 1000) / 60;
        long seconds = (milliseconds / 1000) % 60;

        System.out.format("%d Milliseconds = %d minutes and %d seconds.", milliseconds, minutes, seconds);

    }
}

Output

1000000 Milliseconds = 16 minutes and 40 seconds.

In the above program, we’ve used formula:

Minutes = (Milliseconds / 1000) / 60
And
Remaining Seconds = (Milliseconds / 1000) % 60

First, we calculate the minutes by simply dividing it to seconds and then to minutes by dividing it with 60.

Then, we calculate the remaining seconds by dividing it to seconds and getting the remainder when divided by 60.

 

 

Python Example for Beginners

Two Machine Learning Fields

There are two sides to machine learning:

  • Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
  • Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.

Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes

Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!

Latest end-to-end Learn by Coding Recipes in Project-Based Learning:

Applied Statistics with R for Beginners and Business Professionals

Data Science and Machine Learning Projects in Python: Tabular Data Analytics

Data Science and Machine Learning Projects in R: Tabular Data Analytics

Python Machine Learning & Data Science Recipes: Learn by Coding

R Machine Learning & Data Science Recipes: Learn by Coding

Comparing Different Machine Learning Algorithms in Python for Classification (FREE)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.