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Python Learning Journey 📚🐍

Welcome to my repository dedicated to learning Python through four different comprehensive resources. This project serves as my study guide and personal progress tracker, combining various approaches to mastering Python for multiple domains like automation, artificial intelligence, and DevOps.

📅 Courses and Resources:

  1. The Complete Python 2024

    • 📚 Description: A full-stack course that covers Python programming for beginners and advanced users.
    • 📅 Start Date:
    • 📅 End Date:
    • Progress: [ ] Not Started | [ ] In Progress | [ ] Completed
  2. 100 Days of Code: Python

    • 📚 Description: A challenge to code for 100 consecutive days, with focus on Python projects and exercises.
    • 📅 Start Date:
    • 📅 End Date:
    • Progress: [ ] Not Started | [ ] In Progress | [ ] Completed
  3. Google IT Automation with Python

    • 📚 Description: Google’s professional certification course focusing on Python for system administration and automation.
    • 📅 Start Date:
    • 📅 End Date:
    • Progress: [ ] Not Started | [ ] In Progress | [ ] Completed
  4. Python for AI and DevOps

    • 📚 Description: Python applications in artificial intelligence and DevOps for automation, deployments, and data processing.
    • 📅 Start Date:
    • 📅 End Date:
    • Progress: [ ] Not Started | [ ] In Progress | [ ] Completed

📂 Project Structure:

📦Python-Learning-Journey
 ┣ 📂Complete-Python-2024
 ┃ ┣ 📜README.md
 ┃ ┣ 📜...
 ┣ 📂100-Days-Python
 ┃ ┣ 📜README.md
 ┃ ┣ 📜...
 ┣ 📂Google-Automation-Python
 ┃ ┣ 📜README.md
 ┃ ┣ 📜...
 ┣ 📂Python-AI-DevOps
 ┃ ┣ 📜README.md
 ┃ ┣ 📜...
 ┗ 📜README.md

🚀 Getting Started

To start exploring, you can clone this repository:

git clone https://github.com/your-username/repository-name.git
cd repository-name

🎯 Goal:

  • Gain proficiency in Python for automation, web development, AI, and DevOps.
  • Work on real-world projects after completing theory sections.
  • Document all exercises and project results in this repository for future reference.

📈 Progress Tracking:

I will update this section with notes, progress, and milestones for each resource as I proceed.

🛠 Tools and Technologies:

  • Python 3.x
  • Jupyter Notebook
  • Docker (for DevOps)
  • TensorFlow/PyTorch (for AI)

🔥 Challenges and Takeaways:

  • I will update my learnings, challenges, and insights in each folder specific to the resource. Feel free to explore individual directories for more in-depth notes and code samples.

👤 Author:

📄 License:

This project is licensed under the personal home of me License - see the LICENSE file for details.