Python for Data Engineering Course

This comprehensive course covers essential Python concepts and libraries needed for data engineering. The course is structured into multiple modules, each focusing on specific aspects of data engineering.

Course Structure

1. Basic Python Fundamentals (01_basic_fundamentals.py)

   • Variables and data types
   • Control structures
   • List and dictionary comprehensions

2. Functions and Modules (02_functions_and_modules.py)

   • Function definitions and usage
   • Lambda functions
   • Module organization

3. File Operations (03_file_operations.py)

   • Reading and writing text files
   • Working with CSV files
   • JSON file handling

4. Data Processing (04_data_processing.py)

   • Pandas DataFrame operations
   • Data filtering and transformation
   • Data cleaning techniques

5. Data Visualization (05_data_visualization.py)

   • Matplotlib basics
   • Seaborn visualizations
   • Advanced plotting techniques

6. API Operations (06_api_operations.py)

   • REST API interactions
   • API client implementation
   • Rate limiting and error handling

7. Database Operations (07_database_operations.py)

   • SQLite operations
   • SQLAlchemy ORM
   • Pandas SQL integration

8. Error Handling (08_error_handling.py)

   • Exception handling
   • Custom exceptions
   • Logging and debugging

Setup Instructions

1. Create a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

   pip install -r requirements.txt

Usage

Each module can be run independently:

python 01_basic_fundamentals.py
python 02_functions_and_modules.py
# etc.

Additional Resources

• Pandas Documentation
• Matplotlib Documentation
• Seaborn Documentation
• SQLAlchemy Documentation
• Python Documentation

Contributing

Feel free to contribute to this course by:

1. Forking the repository
2. Creating a feature branch
3. Making your changes
4. Submitting a pull request

License

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