Скачать или смотреть 📙 34 - Reading and Writing Files in Python | Python Full Course + 20 Hands On Projects

Welcome to Lesson 34 of the Python Full Course!
In this video, we’ll dive into File Handling in Python — one of the most important topics for working with data, automation, and real-world applications.

You’ll learn how to open, read, write, and manage files efficiently using Python’s built-in file handling features. By mastering this skill, you’ll be able to build programs that can store, retrieve, and process information from files — a must-have for data analysts, developers, and automation engineers.

🧠 In This Video, You’ll Learn:

✅ How to open and close files safely using open() and with statements
✅ Different file modes like read (r), write (w), append (a), and binary (rb, wb)
✅ How to read content from text files using read(), readline(), and readlines()
✅ Writing and appending data to text files
✅ Handling file paths and directories effectively
✅ Real-world file handling examples and best practices

💡 Why Learn File Handling?

File handling is essential for working with data and building real-world software. It allows you to:

Save user data or program outputs permanently

Read configuration or log files

Build automation scripts for reports and logs

Handle large datasets in text format

Create reusable, data-driven applications

Whether you’re developing tools, analyzing data, or automating tasks — file handling is a core Python skill that every programmer should master.

🏗️ Course Playlist

🎥 This video is part of the Python Full Course, designed to take you from beginner to advanced through structured lessons and practical projects.
👉 Watch the complete playlist here:
   • 🎓 Learn Python Programming from Scratch — ...  

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📘 Next Lecture

📙 35 - Working with CSV and JSON Files in Python | Python Full Course + 20 Hands On Projects
In the next lesson, we’ll extend your file-handling skills by learning how to work with structured data formats — CSV and JSON.
You’ll learn to read, write, and parse these file types efficiently, which is crucial for data analysis and APIs.

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