Mastering Object-oriented Python - Transform Your Approach by Steven F. Lott

Key Features

• Create purposes with versatile logging, strong configuration and command-line innovations, computerized unit assessments, and reliable documentation
• Use the Python distinctive tips on how to combine seamlessly with integrated beneficial properties and the traditional library
• Design periods to aid item patience in JSON, YAML, Pickle, CSV, XML, Shelve, and SQL

Book Description

An object-oriented method of Python net improvement delivers a way more fully-realised event of the language. the flexibleness and tool of Python, mixed with the advancements in layout, coding and software program upkeep that object-oriented programming permits, is outfitted to answer the demanding situations of an increasing number of advanced and data-intensive program improvement, making tricky initiatives even more doable. This e-book has been designed to make this refined method of programming more uncomplicated to benefit quick, supplying you with a transparent and coherent studying journey.

Beginning by way of taking a look at a variety of layout styles for the _init_() process, you'll find out how to successfully use more than a few Pythonâs specific how to create sessions that combine with Pythonâs integrated beneficial properties, and locate precise explorations and demonstrations of callables and contexts, packing containers and collections, numbers, and interior designers and mixins, with a spotlight on most sensible practices for powerful and winning layout. The e-book additionally good points info that demonstrates tips on how to create power gadgets utilizing JSON, YAML, Pickle, CSV, XML, Shelve and SQL and exhibits you ways to transmit gadgets among techniques. Going additional into OOP, youâll locate specialist info on logging, warnings, unit checking out in addition to operating with the command line.

Structured in three elements to make the complexity of OOP extra achievable - Pythonic periods through designated equipment, endurance and Serialization and checking out, Debugging, Deploying, and holding â this publication deals deep perception into OOP that can assist you boost specialist point object-oriented Python skills.

What you are going to learn

• Create purposes with versatile logging, robust configuration and command-line innovations, automatic unit exams, and stable documentation
• Get to grips with diversified layout styles for the __init__() method
• Design callable gadgets and context managers
• Perform item serialization in codecs resembling JSON, YAML, Pickle, CSV, and XML
• Map Python gadgets to a SQL database utilizing the integrated SQLite module
• Transmit Python gadgets through RESTful internet services
• Devise recommendations for computerized unit trying out, together with tips on how to use the doctest and the unittest.mock module
• Parse command-line arguments and combine this with configuration records and setting variables

About the Author

Steven F. Lott has been programming because the 70s, while pcs have been huge, pricey, and infrequent. As a freelance software program developer and architect, he has labored on hundreds and hundreds of initiatives, from very small to huge. he is been utilizing Python to resolve company difficulties for over 10 years.

Table of Contents

1. The _init_() Method
2. Integrating Seamlessly with simple Python distinctive Methods
3. Attribute entry, houses, and Descriptors
4. The ABCs of constant Design
5. Using Callables and Contexts
6. Creating Contrainers and Collections
7. Creating Numbers
8. Decorators and Mixins: Cross-Cutting Aspects
9. Serializing and Saving â JSON, YAML, Pickle, CSV, and XML
10. Storing and Retrieving gadgets through Shelve
11. Storing and Retrieving items through SQLite
12. Transmitting and Sharing Objects
13. Configuration records and Persistence
14. The Logging and caution Modules
15. Designing for Testability
16. Coping with the Command Line
17. The Module and package deal Design
18. Quality and Documentation