User Workspace is a Node.js application designed to handle user requests and file uploads with ease. Leveraging the Express framework, this application provides a robust backend that can manage various user-related functionalities while also integrating third-party libraries for handling file operations and environment configurations.
To set up the project, follow these steps:
-
Clone the repository to your local machine:
git clone https://github.com/username/user-workspace.git cd user-workspace
-
Install the dependencies using npm:
npm install
-
Create a
.env
file in the root directory to configure environment variables if necessary.
To start the application, run the following command:
npm start
This will launch the server on the default port (usually 3000
). You can access the app at http://localhost:3000
.
- File Uploads: Utilizes
multer
for handling multipart/form-data, allowing users to upload files easily. - RESTful API: Structure your application to handle different user-related API requests seamlessly.
- Environment Variables: Use
dotenv
to manage configurations securely. - Async HTTP Requests: Make requests to external APIs using the
axios
library.
This project uses the following primary dependencies:
- axios: ^1.9.0 - Promise-based HTTP client for the browser and Node.js.
- dotenv: ^16.5.0 - Module to load environment variables from a
.env
file. - express: ^5.1.0 - Fast, unopinionated, minimalist web framework for Node.js.
- multer: ^2.0.0 - Middleware for handling
multipart/form-data
, primarily used for uploading files.
Here’s a brief overview of the project's directory structure:
user-workspace/
├── .env # Environment configuration file
├── package.json # Project metadata and dependencies
├── package-lock.json # Locked versions of dependencies
├── server.js # Entry point for the server
└── routes/ # Directory containing route definitions
├── userRoutes.js # User-related API routes
└── uploadRoutes.js # File upload related routes
Note: Make sure to configure your routes and middleware as per the specific requirements of your application.
For any additional questions or issues, please feel free to open an issue or contact the maintainers of this repository.
A Python-based crypto trading dashboard is provided under trading_bot/
. It uses ccxt
to fetch data, calculates technical indicators, and displays an interactive web interface using Streamlit.
Install Python dependencies (preferably in a virtual environment):
pip install -r requirements.txt
pip install ccxt pandas pandas_ta scikit-learn streamlit plotly transformers
From the repository root, execute:
streamlit run trading_bot/app.py
The dashboard fetches real-time market data, displays technical analysis, sentiment, and a simple machine learning signal. You can also run a backtest from the sidebar.