https://github.com/gatlenculp/grade-forecast
Tool for forecasting and tracking your university grades to adjust your priorities
https://github.com/gatlenculp/grade-forecast
Last synced: about 1 year ago
JSON representation
Tool for forecasting and tracking your university grades to adjust your priorities
- Host: GitHub
- URL: https://github.com/gatlenculp/grade-forecast
- Owner: GatlenCulp
- License: mit
- Created: 2025-03-16T04:41:18.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-16T04:57:30.000Z (over 1 year ago)
- Last Synced: 2025-03-16T05:24:59.637Z (over 1 year ago)
- Language: Python
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: docs/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: docs/CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: docs/SECURITY.md
Awesome Lists containing this project
README
# Grade Forecast
[](https://github.com/astral-sh/uv)
> [!NOTE]
> This project was created using [Gatlen's Opinionated Template (GOTem)](https://github.com/GatlenCulp/gatlens-opinionated-template), a cutting-edge project template for power users and researchers.
Grade Forecast
> **[?]**
> Provide a brief description of your project here. What does it do? Why is it useful?
> **\[View the full documentation here\](https://Gatlen Culp.github.io/grade-forecast) ➡️**
______________________________________________________________________
## 00 Table of Contents
- [Grade Forecast](#grade-forecast)
- [00 Table of Contents](#00-table-of-contents)
- [01 About](#01-about)
- [02 Getting Started](#02-getting-started)
- [02.01 Prerequisites](#0201-prerequisites)
- [02.02 Installation](#0202-installation)
- [03 Usage](#03-usage)
- [04 Project Structure](#04-project-structure)
- [05 Contributing](#05-contributing)
- [06 License](#06-license)
______________________________________________________________________
## 01 About
> **[?]**
> Provide detailed information about your project here.
>
> - What problem does it solve?
> - What makes it unique?
> - What are its key features?
> - Who is it for?
📸 Screenshots
> **[?]**
> Please provide your screenshots here.
| Home Page | Login Page |
| :-----------------------------------------------------------------------------: | :------------------------------------------------------------------------------: |
| | |
______________________________________________________________________
## 02 Getting Started
### 02.01 Prerequisites
> **[?]**
> List all dependencies and requirements needed before installing the project:
>
> ```bash
> # Example
> python >= 3.8
> pip >= 21.0
> ```
### 02.02 Installation
> **[?]**
> Provide step-by-step installation instructions:
>
> **01. Clone the repository**
>
> ```bash
> git clone https://github.com/GatlenCulp/grade-forecast.git
> cd grade-forecast
> ```
>
> **02. Install dependencies**
>
> ```bash
> pip install -e .
> ```
______________________________________________________________________
## 03 Usage
> **[?]**
> Provide basic usage examples with code snippets:
>
> ```python
> from gf import example
>
> # Initialize
> example.start()
>
> # Run a basic operation
> result = example.process("data")
> print(result)
> ```
______________________________________________________________________
## 04 Project Structure
This project follows the structure of [Gatlen's Opinionated Template (GOTem)](https://github.com/GatlenCulp/gatlens-opinionated-template):
```
📁 .
├── 📁 data <- Data directories for various stages
├── 📚 docs <- Documentation
├── 📋 logs <- Log files
├── 📁 notebooks <- Jupyter notebooks
├── 🗑️ out <- Output files, models, etc.
└── 🚰 gf <- Source code
├── ⚙️ config.py <- Configuration settings
├── 🐍 dataset.py <- Data processing
├── 🐍 features.py <- Feature engineering
├── 📁 modeling <- Model training and prediction
└── 🐍 plots.py <- Visualization code
```
For a more detailed explanation of the project structure, see the [CONTRIBUTING.md](docs/CONTRIBUTING.md) file.
______________________________________________________________________
## 05 Contributing
We welcome contributions to this project! Please see our [contribution guidelines](docs/CONTRIBUTING.md) for detailed information on how to:
- Set up your development environment
- Submit issues and feature requests
- Create pull requests
- Get support
______________________________________________________________________
## 06 License
This project is licensed under the MIT - see the [LICENSE](LICENSE) file for details.
A tool for forecasting and tracking your university grades to adjust your priorities.
## Installation
Clone the repository and install the package:
```bash
git clone https://github.com/yourusername/grade-forecast.git
cd grade-forecast
pip install -e .
```
## Usage
Grade Forecast provides both an interactive CLI and direct command-line commands.
### Interactive Mode
To start the interactive CLI:
```bash
grade-forecast run
```
### Command-Line Commands
#### List all courses
```bash
grade-forecast list
```
This will display all available courses with their aliases.
#### Show a summary of all courses
```bash
grade-forecast summary
```
#### Display information for a specific course
You can use the course name, alias, or index:
```bash
grade-forecast course
grade-forecast course
grade-forecast course
```
With detailed information:
```bash
grade-forecast course --details
```
If you run the command without specifying a course, it will display all available courses with their aliases:
```bash
grade-forecast course
```
#### List all tasks in a course
```bash
grade-forecast tasks
grade-forecast tasks
```
If you run the command without specifying a course, it will display all available courses with their aliases:
```bash
grade-forecast tasks
```
#### Analyze a specific task
```bash
grade-forecast task
grade-forecast task
```
If you run the command without specifying a task, it will display all available tasks in the course:
```bash
grade-forecast task
```
#### Update a task's grade
```bash
grade-forecast update
grade-forecast update
```
If you run the command without specifying a grade, it will prompt you to enter one:
```bash
grade-forecast update
```
Example:
```bash
grade-forecast update compsys "Homework #1" 95
grade-forecast update cs 1 95 # Using alias and task index
```
#### Compare multiple courses
```bash
grade-forecast compare ...
grade-forecast compare ...
```
If you run the command without specifying any courses, it will display all available courses with their aliases:
```bash
grade-forecast compare
```
Example:
```bash
grade-forecast compare compsys linalg
grade-forecast compare cs la # Using aliases
```
## Features
- Track and forecast your grades across multiple courses
- Analyze the impact of individual assignments on your final grade
- Visualize grade trends and projections
- Prioritize tasks based on their impact on your final grade
- Compare performance across different courses
## License
MIT