🐍 Academy: Python & Artificial Intelligence 101

My learning journey in Python programming and Artificial Intelligence fundamentals through TechCareer Academy.

📖 About This Repository

This repository contains my coursework, assignments, and projects from the TechCareer Academy: Python & AI 101 program. It serves as both a learning portfolio and a resource for others interested in Python and artificial intelligence.

🎯 Program Overview

The TechCareer Academy program covers:

• Python programming fundamentals
• Data structures and algorithms
• Introduction to Artificial Intelligence
• Machine Learning basics
• Practical AI applications

📚 Repository Structure

Academy-Python-Ile-Yapay-Zeka-101/ ├── python_pure_tutorials/ # Core Python tutorials and exercises ├── assignments/ # Weekly assignments ├── projects/ # Course projects └── notes/ # Personal learning notes

🚀 What I'm Learning

Week 1: Python Fundamentals

• ✅ Python syntax and basic operations
• ✅ Variables and data types
• ✅ Control structures (if/else, loops)
• ✅ Understanding compiler vs interpreter
• ✅ IDE vs Code Editor differences

Upcoming Topics

• Functions and modules
• Object-oriented programming
• Data structures (Lists, Tuples, Dictionaries)
• File handling and I/O operations
• Introduction to NumPy and Pandas
• Machine Learning fundamentals

💻 Technologies & Tools

• Language: Python 3.x
• IDE: PyCharm Community Edition
• Version Control: Git & GitHub
• Libraries: NumPy, Pandas, Scikit-learn (upcoming)

📝 Assignments

Assignment 1: Introduction to Programming

• Understanding Python basics
• Compiler vs Interpreter concepts
• IDE vs Editor comparison
• Medium Article

🎓 Learning Resources

• W3Schools Python Tutorial
• TechCareer Academy Course Materials
• Python Official Documentation

🌟 Blog Posts

I document my learning journey through blog posts:

• First Steps in Programming: Python and Fundamental Concepts Guide

🤝 Connect With Me

• LinkedIn: Barış Someroğlu
• Medium: @print.barissomeroglu
• GitHub: @barissomeroglu10

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• TechCareer.net for providing this excellent learning opportunity
• Course instructor Hamit Mızrak for comprehensive teaching
• The Python community for extensive documentation and resources

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Note: This is a learning repository. Code and concepts are subject to continuous improvement as I progress through the course.