python-learning-path

My road to Top 1% Python Developer. A comprehensive collection of projects, scripts, and exercises from top industry certifications and self-directed learning.

🧬 From Pipette to Python: The Bio-Digital Learning Path

"Don't use AI to skip learning. Use AI to accelerate it."

🚀 The Mission

I am a Senior Lab Technologist (15 years exp.) transitioning into a Top 1% Python Developer. This repository is a Proof of Work. It documents my journey of translating biological logic into digital code, powered by the Google & Samsung Ecosystem.

🎓 The Educational Pipeline

My learning path is structured and certified. I combine general AI knowledge with specialized medical applications.

• ✅ FOUNDATION (Completed):
  • Google AI Professional Certificates - Core concepts of AI & Machine Learning.
• 🔄 SPECIALIZATION (Current Focus):
  • Stanford University (Coursera): AI in Healthcare.
  • Focus: Medical Imaging, EHR Data Analysis, Genomics.
• 📅 ADVANCED (Planned):
  • DeepLearning.AI: Advanced Algorithms.
  • IBM: Data Science Refinement.

⚙️ The "Trinity" Workflow

This project is powered by a custom AI ecosystem running on Samsung DeX:

1. INPUT (The Translation): My custom "Bio-Digital Mentor" Gem translates academic concepts (from Stanford/Google) into Laboratory Analogies (e.g., Dataframes = Patient Charts).
2. PROCESS (The Lab):
   • Local: Pydroid 3 on Android for offline scripting (The "Field Kit").
   • Cloud: Google Colab for heavy data processing & Jupyter Notebooks (The "Main Lab").
3. OUTPUT (The Archive): Code pushed via mobile to GitHub.

🛠️ Tech Stack & Hardware

• Hardware (The Ultra Setup):
  • Samsung Galaxy Tab S11 Ultra + DeX Mode (Main Station).
  • Samsung Galaxy S-Series Ultra (Mobile Operations).
• Environment:
  • IDE: Pydroid 3 & Google Colab.
  • AI Core: Gemini Advanced (Trinity Ecosystem).
• Language: Python 3.x (Pandas, NumPy, TensorFlow basics).

📂 Repository Structure

• 00_Certificates/ - Proof of completed Google courses.
• 01_Genesis_Protocol/ - Python Basics translated to Bio-Logic.
• 02_Stanford_AI_Labs/ - Practical assignments from the AI in Healthcare specialization.
• 03_Bio_Playground/ - Experiments with real-world medical scenarios (using dummy data).
• 99_Universal_Workbench/ - The catch-all zone. Random scripts, snippets, general tests, and uncategorized code.

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Maintained by Mateusz Jakubowski | Powered by Trinity Core Architecture #FromPipetteToPython #SamsungDeX #GoogleCloud #StanfordAI