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

Key Features

• Create purposes with versatile logging, robust configuration and command-line techniques, computerized unit checks, and stable documentation
• Use the Python exact ways to combine seamlessly with integrated positive aspects 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 internet improvement offers a way more fully-realised event of the language. the pliability and tool of Python, mixed with the advancements in layout, coding and software program upkeep that object-oriented programming permits, is equipped to answer the demanding situations of a growing number of advanced and data-intensive software improvement, making tricky initiatives even more potential. This booklet has been designed to make this subtle method of programming more straightforward to profit quick, supplying you with a transparent and coherent studying journey.

Beginning via taking a look at various layout styles for the _init_() strategy, you are going to the way to successfully use a number of Pythonâs exact the way to create periods that combine with Pythonâs integrated beneficial properties, and locate certain explorations and demonstrations of callables and contexts, packing containers and collections, numbers, and interior decorators and mixins, with a spotlight on top practices for powerful and profitable layout. The e-book additionally positive factors info that demonstrates the way to create power items utilizing JSON, YAML, Pickle, CSV, XML, Shelve and SQL and exhibits you ways to transmit gadgets among techniques. Going extra into OOP, youâll locate professional details on logging, warnings, unit trying out in addition to operating with the command line.

Structured in three elements to make the complexity of OOP extra practicable - Pythonic sessions through certain tools, patience and Serialization and checking out, Debugging, Deploying, and retaining â this booklet bargains deep perception into OOP to help you enhance professional point object-oriented Python skills.

What you are going to learn

• Create functions with versatile logging, strong configuration and command-line strategies, automatic unit assessments, and solid documentation
• Get to grips with diverse layout styles for the __init__() method
• Design callable gadgets and context managers
• Perform item serialization in codecs reminiscent of JSON, YAML, Pickle, CSV, and XML
• Map Python gadgets to a SQL database utilizing the integrated SQLite module
• Transmit Python items through RESTful net services
• Devise options for automatic unit checking out, together with easy methods to use the doctest and the unittest.mock module
• Parse command-line arguments and combine this with configuration documents and atmosphere 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 1000s of tasks, 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 certain Methods
3. Attribute entry, homes, 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 items through Shelve
11. Storing and Retrieving gadgets 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