Welcome to the C_ProgrammingProjects repository! This collection includes various projects implemented using the C programming language. Each project focuses on a specific concept, algorithm, or problem, providing hands-on experience and practical examples.
Here's a list of some of the projects included in this repository:
To run any of these projects, follow these general steps:
git clone https://github.com/your-username/repository-name.git
cd repository-name
Each project typically includes a 'README.md' file with specific instructions on how to compile and run the program. Navigate to the projectdirectory and follow the instructions provided in the README.md file. Replace repository-name with the actual repository name and executable_name with the name of the compiled executable specific to each project.
-
Navigate to the project directory.
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Compile the program using a C compiler (e.g., gcc).
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Execute the compiled executable.
cd attendance-monitoring-system
gcc main.c -o attendance
./attendance
Replace repository-name with the actual repository name for each project.
Make sure you have a C compiler installed (e.g., GCC). Some projects may require additional libraries or software, which will be specified in their respective folders.
- Go
here
and click the big green ➞Code
button in the top right of the page, then click ➞Download ZIP
.
-
Extract the ZIP and open it. Unfortunately I don't have any more specific instructions because how exactly this is done depends on which operating system you run.
-
Launch ipython notebook from the folder which contains the notebooks. Open each one of them
Kernel > Restart & Clear Output
This will clear all the outputs and now you can understand each statement and learn interactively.
If you have git and you know how to use it, you can also clone the repository instead of downloading a zip and extracting it. An advantage with doing it this way is that you don't need to download the whole tutorial again to get the latest version of it, all you need to do is to pull with git and run ipython notebook again.
You may use this tutorial freely at your own risk. See LICENSE.
- Shravan Dalavi
- Contact: [email protected]
- GitHub: Profile
- Ashwini Sonawane
- Contact: [email protected]
- GitHub: Profile
If you like this tutorial, please give it a ⭐ star.
Thank you for visiting my repository! I hope you find my projects interesting and useful. 😊