Python File Handling: Working with CSV, Excel, and JSON

Every modern application and business workflow relies on data, which is often stored in diverse file formats like CSV, Excel, and JSON. Master the essential Python skills needed to open, read, write, and structure this data efficiently without relying on manual entry. This text-based course takes you from a beginner who understands basic Python syntax to a capable programmer who can confidently automate file processing tasks. You will learn to navigate directories, parse complex data structures, and prepare files for analysis using both Python's built-in tools and powerful external libraries like Pandas. What you'll learn: - Understand the fundamental concepts of file systems, paths, and safe file-handling using modern Python context managers. - Navigate directories and manage file paths cleanly using the modern pathlib library. - Parse and write structured data in CSV and JSON formats using Python's robust standard library. - Manipulate Excel spreadsheets programmatically, handling multiple sheets and formatting. - Analyze and clean large datasets efficiently by leveraging the Pandas library. - Apply type hints to your file-processing functions to write clean, maintainable, and error-free code. You will start by learning core file-system operations and safety protocols before moving on to structured text formats like CSV and JSON. From there, you will progress to advanced spreadsheet manipulation and data analysis using Pandas, reinforcing your knowledge through practical written explanations and code exercises. This course is designed for beginners who have a basic grasp of Python variables, loops, and functions, with no prior experience in data engineering or file manipulation required. Start reading today to streamline your data workflows and build practical Python automation skills.