https://github.com/itz-agasta/weekly-assignments
A repository containing weekly Python assignment solutions for college students. This resource is intended to help future juniors understand and solve their assignments. Each week's assignments are organized in separate folders for ease of access.
https://github.com/itz-agasta/weekly-assignments
assignment assignment-solutions collage-course python
Last synced: 10 months ago
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A repository containing weekly Python assignment solutions for college students. This resource is intended to help future juniors understand and solve their assignments. Each week's assignments are organized in separate folders for ease of access.
- Host: GitHub
- URL: https://github.com/itz-agasta/weekly-assignments
- Owner: Itz-Agasta
- Created: 2024-07-21T06:50:00.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-21T10:54:34.000Z (10 months ago)
- Last Synced: 2025-04-30T17:13:18.512Z (10 months ago)
- Topics: assignment, assignment-solutions, collage-course, python
- Language: Python
- Homepage:
- Size: 150 KB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Python Weekly Assignments
This repository contains solutions to weekly Python assignments for college students. The goal is to help future juniors understand
and solve their assignments effectively with the best solutions possible.
## Repository Structure
The assignments are organized in main folders by categories, with each category containing its assignment solutions.
```bash
Python-Weekly-Assignments/
│ ├── Lab assigment/
│ │ ├── week1.py
│ │ ├── week2.py
│ │ ├── week3.py
│ │ └── ...
│ └── weekly practice set/
│ ├── week 1.py
│ ├── week 2.py
│ └── ...
├── .gitignore
└── README.md
```
## How to Use This Repository
1. **Navigate to the appropriate folder**: Find the main folder for the category you are looking for (`Lab assigment` or `weekly practice set`).
2. **Open the week file**: Each week's assignments are in separate Python script files (e.g., `week1.py`, `week2.py`). Open the file for the week you are interested in.
3. **Review the code**: Go through the code to understand the solution. Comments are provided for better understanding.
4. **Run the code**: You can run the code on your local machine to see how it works.
## Contributing
If you would like to contribute to this repository, feel free to submit a pull request. Contributions can include improvements to existing solutions or new solutions for the assignments.
## Contact
If you have any questions or suggestions, feel free to open an issue or contact us directly.
Happy coding!