Python for Data and Files

Python for Data and Files

Files, Databases, APIs, and Production Pipelines

Learn how to transform Python skills into practical data-processing workflows. Python for Data and Files teaches you how to work with common data formats, connect to databases, retrieve information from APIs, and build reliable pipelines for real-world projects.

Designed for readers who already understand Python fundamentals, this book moves beyond basic scripts and introduces the tools and techniques used to process, validate, organize, and deliver data efficiently.

What You Will Learn

• Read, write, and process CSV, Excel, JSON, and XML files.
• Work with pandas to clean, transform, and analyze datasets.
• Connect Python applications to SQLite and relational databases.
• Use SQL and SQLAlchemy to interact with stored data.
• Retrieve and process information from REST APIs.
• Validate data and improve data quality with practical tools.
• Create visualizations using matplotlib.
• Build ETL pipelines that extract, transform, and load data.
• Package, schedule, and optimize data-processing workflows.

From Individual Files to Complete Pipelines

Rather than treating each tool as an isolated topic, the book develops a continuous project around a realistic business scenario. You will learn how to combine file processing, databases, APIs, validation, and automation into a coherent workflow that is easier to maintain and extend.

Who Is This Book For?

• Python developers ready to work with real-world data.
• Data analysts and business professionals seeking to automate data tasks.
• Excel users transitioning to Python-based data workflows.
• Developers interested in ETL, database integration, and data engineering fundamentals.

Build the skills to move from processing individual files to creating organized, reusable, and production-oriented data pipelines.

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