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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Toc

Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

File I/O

Our examples so far that have touched the filesystem have operated entirely on text files without much thought as to what is going on under the hood. Operating systems represent files as a sequence of bytes, not text. We'll take a deep dive into the relationship between bytes and text in Chapter 9Strings, Serialization, and File Paths. For now, be aware that reading textual data from a file is a fairly involved process, but Python takes care of most of the work for us behind the scenes.

The concept of files has been around since long before anyone coined the term object-oriented programming. However, Python has wrapped the interface that operating systems provide in a sweet abstraction that allows us to work with file (or file-like, vis-à-vis duck typing) objects.

The confusion arises because the operating system file and the Python file object are both, commonly, called "files." It's difficult to be ultra-cautious and...

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