Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Mastering Object-Oriented Python
  • Toc
  • feedback
Mastering Object-Oriented Python

Mastering Object-Oriented Python

By : Steven F. Lott
3.8 (4)
close
Mastering Object-Oriented Python

Mastering Object-Oriented Python

3.8 (4)
By: Steven F. Lott

Overview of this book

Object-oriented programming (OOP) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each language's unique features. With the help of the latest edition of Mastering Objected-Oriented Python, you'll be shown how to effectively implement OOP in Python, and even explore Python 3.x. Complete with practical examples, the book guides you through the advanced concepts of OOP in Python, and demonstrates how you can apply them to solve complex problems in OOP. You will learn how to create high-quality Python programs by exploring design alternatives and determining which design offers the best performance. Next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. Finally, the book will assist you in leveraging various Python features by implementing object-oriented designs in your programs. By the end of this book, you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in Python.
Table of Contents (25 chapters)
close
Free Chapter
1
Section 1: Tighter Integration Via Special Methods
11
Section 2: Object Serialization and Persistence
17
Section 3: Object-Oriented Testing and Debugging

Storing and Retrieving Objects via Shelve

There are many applications where we need to persist objects individually. The techniques we looked at in Chapter 10, Serializing and Saving – JSON, YAML, Pickle, CSV, and XML, were biased toward handling a single object. Sometimes, we need to persist separate, individual objects from a larger domain.

Applications with persistent objects may demonstrate four use cases, summarized as the CRUD operations: create, retrieve, update, and delete. The idea here is any of these operations may be applied to any object in the domain; this leads to the need for a more sophisticated persistence mechanism than a monolithic load or dump of all the objects into a file. In addition to squandering memory, simple loads and dumps are often less efficient than fine-grained, distinct, object-by-object storage.

Using more sophisticated storage will lead...

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete