Python Program #25 - Find HCF or GCD using Loop in Python

Python Program #25 - Find HCF or GCD using Loop in Python
In this video by Programming for beginners we will see Python Program to Find HCF or GCD using Loop in Python for beginners series.
Python programming language and program is very easy to learn for students and professionals.
The highest common factor (HCF) or greatest common divisor (GCD) of two numbers is the largest positive integer that perfectly divides the two given numbers. For example, the H.C.F of 12 and 14 is 2.
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Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.
It is very important for students and professionals to learn python programming language that will help you to achieve many tasks easily and to build softwares.
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Thanks for watching :)

[@SassyShubhi]

Can you guide me how to write an project individually processes?

[@programmingforbeginners7392]

You can write your requirements to e-mail: [e-mail]

[@SassyShubhi]

@@programmingforbeginners7392 no no I don’t want you to write i want to practice so i m asking how can i write

[@anindiansquirrel]

@@SassyShubhiwhat do you want to do? A python project? Please make yourself clear!

[@SassyShubhi]

@@anindiansquirrel no no i have python project i want you to guide me that like how to write a whole project and what are keys which i should consider i have sample of project but i dont know how to start and write it by my own

[@anindiansquirrel]

@@SassyShubhi Got it! Here’s a simplified guide for you : ### 1. Define Your Project - **Goal**: Clearly state what you want your project to do. - **Features**: List the main functionalities your project should have. ### 2. Plan Your Project Structure - **Organize**: Decide how you'll organize your files and folders. Typical structure includes: - **Source Code**: Main scripts and modules. - **Tests**: Scripts for testing your code. - **Documentation**: Instructions and information about your project. ### 3. Set Up Version Control - **Git**: Use version control to track changes. Initialize a Git repository for your project. ### 4. Create a Virtual Environment - **Isolation**: Use a virtual environment to manage dependencies separately from your global Python installation. ### 5. Install Required Libraries - **Dependencies**: Determine which libraries you need and install them. Keep track of these in a `requirements.txt` file. ### 6. Write Your Code - **Main Script**: Start with a main script that ties everything together. - **Modules**: Break down your code into smaller, manageable modules or functions. ### 7. Documentation - **README**: Create a README file that explains what your project does, how to set it up, and how to use it. - **Docstrings**: Add comments and docstrings in your code to explain complex logic. ### 8. Testing - **Unit Tests**: Write tests to ensure your code works as expected. This helps catch bugs early. ### 9. Error Handling - **Robustness**: Implement error handling to manage exceptions and edge cases gracefully. ### 10. Final Touches - **Review**: Review and refine your code. Look for improvements and clean up any unnecessary parts. - **Documentation**: Ensure all documentation is complete and clear. ### Running Your Project - **Execution**: Follow the instructions in your README to set up and run your project.