Python Data Engineering Journey

Welcome to the Python Data Engineering Journey repository! 🚀 This structured learning path is designed to help you master Python for Data Engineering from fundamentals to advanced concepts, including hands-on projects and interview preparation.

---

📂 Directory Structure

Python_DE_Journey/
├── 01_Python_Fundamentals/
│   ├── variables_and_datatypes/
│   ├── control_flow/
│   ├── strings/
│   └── exercises/
├── 02_Data_Structures/
│   ├── lists/
│   ├── tuples/
│   ├── dictionaries/
│   ├── sets/
│   └── exercises/
├── 03_Functions_and_Modules/
│   ├── basic_functions/
│   ├── lambda_functions/
│   ├── custom_modules/
│   └── exercises/
├── 04_File_Operations/
│   ├── file_handling/
│   ├── exception_handling/
│   ├── csv_json_processing/
│   └── exercises/
├── 05_OOP/
│   ├── classes/
│   ├── inheritance/
│   ├── polymorphism/
│   └── exercises/
├── 06_Advanced_Python/
│   ├── decorators/
│   ├── generators/
│   ├── iterators/
│   └── exercises/
├── 07_Pandas/
│   ├── basics/
│   ├── data_manipulation/
│   ├── advanced_operations/
│   └── exercises/
├── 08_Database_Operations/
│   ├── sql_basics/
│   ├── crud_operations/
│   ├── batch_processing/
│   └── exercises/
├── 09_ETL/
│   ├── basic_pipeline/
│   ├── error_handling/
│   ├── logging/
│   └── exercises/
├── 10_Advanced_Concepts/
│   ├── parallel_processing/
│   ├── optimization/
│   └── exercises/
├── 11_Testing/
│   ├── unit_tests/
│   ├── integration_tests/
│   └── documentation/
├── Projects/
│   ├── etl_pipeline/
│   ├── data_processing/
│   └── final_project/
├── Interview_Prep/
│   ├── coding_problems/
│   ├── system_design/
│   └── common_questions/
├── README.md
└── requirements.txt

---

📖 Learning Path

This repository is divided into theoretical concepts, practical exercises, and projects to ensure a hands-on approach to Data Engineering with Python. Below is a breakdown of what you will learn:

1️⃣ Python Fundamentals

• Variables, Data Types, and Operators
• Control Flow (if-else, loops)
• String Manipulation

2️⃣ Data Structures

• Lists, Tuples, Dictionaries, and Sets

3️⃣ Functions & Modules

• Writing Functions, Lambda Functions
• Creating Custom Modules

4️⃣ File Handling

• Reading & Writing Files
• Exception Handling
• CSV & JSON Processing

5️⃣ Object-Oriented Programming (OOP)

• Classes & Objects
• Inheritance, Polymorphism

6️⃣ Advanced Python Concepts

• Decorators, Generators, Iterators

7️⃣ Pandas for Data Manipulation

• Data Cleaning, Transformation, and Analysis

8️⃣ Database Operations

• SQL Basics, CRUD Operations, Batch Processing

9️⃣ ETL (Extract, Transform, Load)

• ETL Pipeline Development
• Error Handling & Logging

🔟 Advanced Concepts

• Parallel Processing
• Performance Optimization

1️⃣1️⃣ Testing & Documentation

• Writing Unit & Integration Tests
• Code Documentation

🚀 Projects

• End-to-End Data Processing Pipeline
• ETL Pipeline Development
• Final Project Showcasing Data Engineering Skills

🎯 Interview Preparation

• SQL, Python & Data Engineering Coding Problems
• System Design Questions
• Common Interview Questions

---

🛠️ Installation & Requirements

Before starting, install the necessary dependencies:

pip install -r requirements.txt

---

🎯 Contribution

Feel free to contribute by improving the repository, adding exercises, or fixing bugs. Open a pull request if you have valuable additions!

---

📢 Contact

If you have any questions, feel free to reach out!

🌐 LinkedIn: Your Profile

Happy Learning & Coding! 🚀