This repository explores the power of Matplotlib and NumPy in Python, with a focus on financial analysis and data visualization.
The goal is to provide clear, well-documented examples that follow coding best practices, covering:
- Efficient numerical data manipulation with NumPy
- High-quality data visualization with Matplotlib
- Time series analysis and financial calculations
| Directory | Description |
|---|---|
basic_examples/ |
Fundamental examples of Matplotlib and NumPy usage |
finance_analysis/ |
Scripts and notebooks focused on financial calculations and visualizations |
data/ |
Example data files (CSV, Excel) used in the scripts |
original_files/ |
Original repository files kept for reference |
Using a virtual environment is highly recommended.
# Create and activate the virtual environment
python3 -m venv venv
source venv/bin/activate # Linux/macOS
# venv\Scripts\activate # Windows
# Install dependencies
pip install -r requirements.txt