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Python 3 Object-Oriented Programming

You're reading from   Python 3 Object-Oriented Programming Build robust and maintainable software with object-oriented design patterns in Python 3.8

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789615852
Length 466 pages
Edition 3rd 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 (15) Chapters Close

Preface 1. Object-Oriented Design FREE CHAPTER 2. Objects in Python 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Python Data Structures 7. Python Object-Oriented Shortcuts 8. Strings and Serialization 9. The Iterator Pattern 10. Python Design Patterns I 11. Python Design Patterns II 12. Testing Object-Oriented Programs 13. Concurrency 14. Other Books You May Enjoy

Filesystem paths

All operating systems provide a filesystem, a way of mapping a logical abstraction of folders (or directories) and files to the bits and bytes stored on a hard drive or other storage device. As humans, we typically interact with the filesystem using a drag-and-drop interface of folders and files of different types, or with command-line programs such as cp, mv, and mkdir.

As programmers, we have to interact with the filesystem with a series of system calls. You can think of these as library functions supplied by the operating system so that programs can call them. They have a clunky interface with integer file handles and buffered reads and writes, and that interface is different depending on which operating system you are using. Python provides an OS-independent abstraction over these system calls in the os.path module. It's a little easier to work...

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