An open API service indexing awesome lists of open source software.

https://github.com/zaddyai/dotnet_labs


https://github.com/zaddyai/dotnet_labs

Last synced: 5 months ago
JSON representation

Awesome Lists containing this project

README

          

# dotNet Labs Repository

Welcome to the dotNet Labs repository! This repository contains lab exercises for the BCA 5th Semester curriculum, following the dotNet syllabus. Each lab is organized in a separate branch for clarity and easy navigation.

## Labs Overview

Explore various labs covering fundamental language features, advanced object-oriented programming, and more.

1. **Lab 1: Basic Language Features**
- Branch: [lab1](https://github.com/gambhirpoudel/dotNet_Labs/tree/lab1)
- Dive into essential language features through exercises and instructions. Explore topics that form the foundation of programming.

2. **Lab 2: Create Classes, Objects, and Implement Object-Oriented Features**
- Branch: [lab2](https://github.com/gambhirpoudel/dotNet_Labs/tree/lab2)
- Learn advanced concepts of object-oriented programming, including class creation, object manipulation, and various features. Get hands-on experience with practical exercises.

3. **Lab 3: Implementation of Inheritance**
- Branch: [lab3](https://github.com/gambhirpoudel/dotNet_Labs/tree/lab3)
- Explore the world of inheritance with examples demonstrating single, multilevel, hierarchical, and multiple inheritance. Dive into sealing functions and classes to understand their usage.

4. **Lab 4: Implement Advance C# Features**
- Branch: [lab4](https://github.com/gambhirpoudel/dotNet_Labs/tree/lab4)
- Master advanced C# features through practical exercises:

## Accessing Labs

To access a particular lab, follow these steps:

1. Clone the repository to your local machine:
```bash
git clone https://github.com/gambhirpoudel/dotNet_Labs.git
```

2. Switch to the desired lab branch:
```bash
git checkout
```
Replace `` with the specific lab branch, e.g., `lab1`, `lab2`, `lab3`, or `lab4`.

3. Explore the lab materials and follow the provided instructions.

## Contribution

We welcome contributions to enhance and expand our labs. If you have improvements or additional labs to contribute, feel free to fork this repository and submit a pull request. Your contributions are highly valued!

Happy coding! 🚀