File I/O and Data Management Laboratory

4 hours

Duration

Materials

Objectives

Session Overview

Comprehensive file processing laboratory including various file formats, data serialization, database operations, and automated data pipeline development.

Learning Objectives

By the end of this session, you should be able to:

Process multiple file formats (CSV, JSON, XML, binary) programmatically
Implement robust data validation and error handling for file operations
Create automated data processing pipelines with scheduling and monitoring
Build data transformation and ETL (Extract, Transform, Load) systems
Apply database connectivity and SQL operations within Python programs
Design scalable file processing systems for large datasets

Course Materials

Download materials for offline study and reference

File Processing and Data Management Guide (50 pages)

Available material

Multi-format Data Processing Examples and Templates

Available material

Data Pipeline Development Framework

Available material

ETL System Implementation Examples

Available material

Database Integration and SQL Tutorial

Available material

40 File Processing and Data Management Projects

Available material

Error Handling and Data Validation Libraries

Available material

Scalable Data Processing Architecture Examples

Available material