Module 3: Applications

Apply Python to real-world data science tasks. This module covers file handling, error handling, and Python libraries - core skills for building practical applications.

Learning Objectives

By the end of this module, you will:

Read and write files, process CSV data for data science workflows
Handle errors gracefully and debug code effectively
Import and use Python libraries for data science tasks
Apply Python concepts to real-world data science projects

Sections

Section 1: File Handling

Read and write files, process CSV data, and handle different file formats for data science workflows.

Section 2: Error Handling & Debugging

Handle errors gracefully and debug code effectively. Learn exception handling, logging, and debugging techniques.

Section 3: Libraries & Imports

Import and use Python libraries for data science tasks. Learn about pandas, numpy, matplotlib, and other key libraries.