📅 2025-12-31 — Session: Image Processing and Business Model Exploration
🕒 03:45–04:00
🏷️ Labels: Python, Image Processing, Business Model, PIL, Matplotlib, Numpy
📂 Project: Dev
Session Goal
The session aimed to explore image processing techniques in Python and develop an economic model for an art business.
Key Activities
- Image Size Retrieval in Python: Utilized the PIL library to open image files and retrieve dimensions.
- Displaying an Image with Matplotlib: Demonstrated how to display images using Matplotlib, focusing on figure size and axis removal.
- Image Cropping and Resizing with NumPy: Showcased methods to crop and resize images using NumPy and PIL.
- Display Images Using PIL and Matplotlib: Illustrated the process of opening and displaying images with PIL and Matplotlib, iterating through image filenames.
- Modelo de Unidad Económica para Negocio de Arte: Developed a framework for an economic model tailored for an art business, covering aspects like printing costs, business structure, logistics, and software requirements.
Achievements
- Successfully executed and demonstrated various image processing techniques using Python libraries.
- Formulated a comprehensive economic model for an art business, providing insights into cost management and operational efficiency.
Pending Tasks
- Further exploration of advanced image processing techniques and integration with other [[data visualization]] tools.
- Detailed analysis and refinement of the economic model to include additional variables and market conditions.