Welcome to HelpMeCopilot, a safe sandpit to test Copilot capabilities. Feel free to move, add, or change anything. Hope you have some fun!
This repository includes various experiments and projects to explore the capabilities of GitHub Copilot. The experiments are categorized as follows:
Explore various machine learning functions and algorithms. This includes data preprocessing, model training, and evaluation scripts.
Interactive Jupyter Notebooks for data analysis, visualization, and machine learning experiments. These notebooks provide a hands-on approach to learning and experimenting with code.
A collection of simple Python applications demonstrating basic programming concepts and functionalities. These applications serve as a foundation for more complex projects.
Examples and experiments using different programming frameworks and libraries. This includes web development frameworks, data science libraries, and more.
This section provides an example of deploying a LAMP stack (Linux, Apache, MySQL, PHP) on Azure using Terraform. The Terraform files for this deployment can be found in the modules/lamp_stack
directory. This example demonstrates how to define resources, configure security groups, and set up a LAMP stack on an Azure virtual machine.
To get started with the experiments in this repository, follow these steps:
-
Clone the Repository:
git clone https://github.com/nolecram/HelpMeCopilot.git cd HelpMeCopilot
-
Set Up the Environment:
- Ensure you have Python installed.
- Install necessary dependencies using
requirements.txt
if available:pip install -r requirements.txt
-
Explore the Experiments:
- Navigate to the respective directories and run the scripts or notebooks.
Feel free to contribute to this repository by adding new experiments, improving existing code, or fixing bugs. To contribute:
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Commit your changes and push to your fork.
- Create a pull request with a description of your changes.
Enjoy experimenting with GitHub Copilot and happy coding!