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Python Essentials

You're reading from   Python Essentials Modernize existing Python code and plan code migrations to Python using this definitive guide

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781784390341
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (17) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Simple Data Types 3. Expressions and Output 4. Variables, Assignment and Scoping Rules 5. Logic, Comparisons, and Conditions 6. More Complex Data Types 7. Basic Function Definitions 8. More Advanced Functions 9. Exceptions 10. Files, Databases, Networks, and Contexts 11. Class Definitions 12. Scripts, Modules, Packages, Libraries, and Applications 13. Metaprogramming and Decorators 14. Fit and Finish – Unit Testing, Packaging, and Documentation 15. Next Steps Index

Using the shelve module as a database


Files offer us persistent storage. The simple use of files is limited by the fact that the data must be accessed sequentially. How can we access items in an arbitrary order?

We'll use the term "database" for a file (a set of files) on which we're going to perform Create, Retrieve, Update, and Delete (CRUD) operations on data elements in an arbitrary order. If we create objects of a consistent size, we can open an ordinary text file in r+ mode and use the seek() method to position at the start of any particular record. This is rather complex, however, and we can do better.

The core database concept of readable and writable storage can be extended with a seemingly endless list of ancillary features. We'll ignore locking, logging, auditing, journaling, distributed transaction management, and many other features, for now to focus on the core feature of persistence.

The shelve module provides us with a very flexible database. A shelf object behaves like an ordinary...

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