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Скачать или смотреть Python OOP: How To Persist Your Custom Objects? - Python Code School

  • Python Code School
  • 2025-08-28
  • 2
Python OOP: How To Persist Your Custom Objects? - Python Code School
Coding TutorialData PersistenceJ S O NLearPickleProgramming BasicsPython DevelopmentPython ObjectsPython ProgrammingPython TipsSerialization
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Описание к видео Python OOP: How To Persist Your Custom Objects? - Python Code School

Python OOP: How To Persist Your Custom Objects? Ever wondered how to save and restore your custom objects in Python? In this video, we'll walk you through the essential techniques for persisting your data in Python programs. You'll learn about serialization, a process that converts objects into a storable format, and how to use Python’s built-in modules like pickle and json to accomplish this. We’ll cover how to save complex objects, including those with custom classes, and how to load them back into your program later. Additionally, you'll discover methods to control what gets saved by customizing your class with getstate and setstate, which is especially useful for objects containing resources like open files or network connections. For simple data structures such as strings, lists, or dictionaries, JSON provides an easy-to-read alternative for storage. We’ll also discuss best practices, such as keeping your class definitions consistent between saving and loading, and why storing only the necessary data attributes can make your programs more reliable. Whether you're building a game, a data analysis tool, or any project that requires saving progress, mastering these techniques will make your projects more flexible and manageable. Join us to learn how to keep your Python objects alive beyond a single run!

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#PythonProgramming #Serialization #Pickle #JSON #PythonTips #CodingTutorial #PythonObjects #DataPersistence #ProgrammingBasics #PythonDevelopment #LearnPython #CodeSaveAndLoad #PythonProjects #CodeEfficiency #PythonForBeginners

About Us: Welcome to Python Code School! Our channel is dedicated to teaching you the essentials of Python programming. Whether you're just starting out or looking to refine your skills, we cover a range of topics including Python basics for beginners, data types, functions, loops, conditionals, and object-oriented programming. You'll also find tutorials on using Python for data analysis with libraries like Pandas and NumPy, scripting, web development, and automation projects.

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