Data Engineering & AIML with Python 🚀

This repository documents my structured learning journey toward
Data Engineering, Data Analysis, and AI/ML using Python.

The learning is structured in phases — starting from Python fundamentals,
moving to NumPy for numerical computing, and Pandas for data analysis.

Each notebook represents active practice, experiments, and real examples.

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📁 Repository Structure

DATA ENGINEERING AIML/
│
├── python basics/
│   ├── day1.ipynb
│   ├── day2.ipynb
│   ├── day3.ipynb
│   ├── day4.ipynb
│   ├── day5.ipynb
│   ├── day6.ipynb
│   ├── day7.ipynb
│   ├── day8.ipynb
│   ├── day9.ipynb
│   ├── day10.ipynb
│   ├── day7Helper.py
│   ├── newday8Helper.txt
│   └── student.json
│
├── numpy/
│   ├── numpyDay1.ipynb
│   ├── numpyDay2.ipynb
│   └── numpyDay3.ipynb
│
├── pandas/
│   ├── pandasDay1.ipynb
│   ├── pandasDay2.ipynb
│   ├── pandasDay3.ipynb
│   ├── students.csv
│   ├── new_students.csv
│   └── latest_students_data.csv
│
├── .gitignore
└── README.md