Share N Learn is a Common Platform for Students & Faculties to upload and share files including all sorts of study material which will be accessible to all the registered members.
Goal
To create a secure and scalable platform common to both college students and faculties so that they can easily share the resources related to coursework hence reducing the dependency on social media platforms.
In the future, the platform can also serve as an e-library for college students.
Tech Stack
- HTML, CSS and Javascript
- Python Django Framework
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Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Development Environment Setup: Windows
Step 1: Downloading and Installing the Code Editor
You can install any one of the following code editors.
- Visual Studio Code
- Sublime Text 3
- Atom </details> ---
- Download the Windows x86-64 executable installer for the 64-bit version of Windows
- Download the Windows x86 executable installer for the 32-bit version of Windows.
- Make sure to check 'Add Python 3.7 to Path' in the setup window of the Installer.
Step 2: Installing Python 3.7
Download Python 3.7 or higher
Step 5: Creating Project Directory
Note: We're creating project directory on the desktop for easy and fast access.
```bash cd desktop mkdir myprojects cd myprojects ```
Step 6: Cloning Repository using Git
```bash git clone https://github.com/'
Step 7: Change directory to sharenlearn
```bash cd sharenlearn ```
Step 8: Add a reference to the original repository
```bash git remote add upstream https://github.com/chiraag-kakar/sharenlearn.git ```
Step 9: Creating Virtual Environment
Install virtualenv
```bash pip3 install virtualenv ``` Creating Virtual Environment named `myvenv` ```bash virtualenv myvenv -p python3.7 ``` To Activate `myvenv` ```bash myvenv\Scripts\activate ``` To deactivate `myvenv` ```bash deactivate ```
Step 10: Installing Requirements
Note: Before installing requirements, Make sure Virtual Environment is activated.
```bash pip install -r requirements.txt ```
Step 11: Making database migrations
```bash python manage.py makemigrations python manage.py migrate ```
Step 12: Creating superuser to access Admin Panel
```bash python manage.py createsuperuser ```
Step 13: Running the Project in local server
Note: Before running the project in local server, Make sure you activate the Virtual Environment.
```bash python manage.py runserver ```
Chiraag Kakar