Python Programming

Automation, Data Visualization & Creative Coding

Proficiency Level
Intermediate (75%)

Skill Details

Language Overview

Python is a versatile, high-level programming language known for its simplicity and readability. It's widely used in web development, data science, automation, and creative applications, making it perfect for bridging technical and creative work.

Primary Uses in My Work:

  • Design workflow automation scripts
  • Data visualization for creative projects
  • Image processing and batch operations
  • Creative coding and generative art
  • Web scraping for design research

My Experience Level

1.5+ Years

Learning Duration

Started with basic syntax and gradually developed skills in libraries like PIL, matplotlib, and requests for creative and practical applications.

Intermediate

Current Proficiency

Comfortable with object-oriented programming, file handling, and using Python libraries to solve design-related problems and automate workflows.

How I Use Python

Design Automation

Scripts to batch process images, rename files, and automate repetitive design tasks

Data Visualization

Creating charts and graphs for infographic design and data-driven creative projects

Image Processing

Using PIL and OpenCV for batch image editing, format conversion, and creative effects

Generative Art

Creating algorithmic art and patterns for use in design projects and creative exploration

Project Examples

Batch Image Processor

Created a Python script to automatically resize, rename, and optimize hundreds of images for web use, saving hours of manual work in Photoshop.

Automation PIL Workflow

Color Palette Generator

Built a tool that extracts dominant colors from images and generates harmonious color palettes for design projects, with export to Adobe formats.

Color Theory Design Tools Creative Coding

Social Media Analytics Visualizer

Developed a script to analyze social media engagement data and create visual reports using matplotlib, helping optimize content strategy.

Data Visualization Analytics Matplotlib

Learning Journey

Foundation (Months 1-3)

Started with Python basics through online courses, focusing on syntax, data types, and control structures with design-related examples.

Applied Learning (Months 4-9)

Learned libraries like PIL for image processing and matplotlib for data visualization, applying skills to real design challenges.

Creative Integration (Months 10+)

Developed custom tools for design workflow, explored generative art, and integrated Python with creative software through automation.

Ongoing Development

Continuously learning new libraries, exploring machine learning applications in design, and building tools that bridge programming and creativity.

Integration with Other Skills

Adobe Creative Suite

Automate repetitive tasks in Photoshop and Illustrator, batch process files, and create custom tools

Photography Workflow

Automate photo organization, batch editing, and metadata management for large photo collections

Web Development

Generate web assets, optimize images for web use, and create data-driven design elements

Music & Audio

Analyze audio files for visual representation, create music visualizations, and automate audio processing

Interested in my Python projects?