File Handling in Python

Proficiency in file handling is a fundamental skill in Python programming, especially when working on machine learning projects that often involve large datasets and various file formats. In this chapter, you'll develop expertise in managing files and directories, enabling you to load, save, and manipulate data efficiently.

You'll begin by exploring how to open and read files in different modes, understanding the nuances of file paths, and handling exceptions to ensure your programs run smoothly. You'll then learn to write data back to files, a crucial capability when storing processed information or results. The chapter will also cover working with libraries like pandas to handle complex data operations and file formats such as CSV and Excel, which are commonly used in machine learning workflows.

By the end of this chapter, you will be equipped with the knowledge to manage file operations in Python, a skill that will prove invaluable as you build and deploy machine learning models that require seamless data integration and management.