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Advanced Python: Best Practices and Design Patterns

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This advanced Python training course will expand your foundational Python programming skills to build reliable and stable applications. In this course, you will learn how to:

Employ design patterns and best practices in Python applications
Exploit the object-oriented programming features in Python for stable, reliable programs
Create and manage concurrent threads of control
Generate and consume REST web service requests and responses
Implement Gang of Four (GoF) design patterns to solve commonly recurring software design problems
Advanced Python Course Delivery Methods



Advanced Python Course Benefits

Unit test, debug, and install Python programs and modules

Profile program execution and improve performance

Apply advanced Python programming features for efficient, reliable, and maintainable programs

Gain knowledge and skills applicable to all Python environments, including Microsoft Windows, macOS, and all Linux and UNIX distributions

Test your knowledge in the included end-of-course exam

Continue learning and face new challenges with after-course one-on-one instructor coaching

Advanced Python Course Outline
Module 1: Object-Oriented Programming in Python

In this module, you will learn how to:

Extend classes to define subclasses
Add properties to a class
Define abstract base classes
Module 2: Exploring Python Features
Module 3: Verifying Code and Unit Testing
Module 4: Detecting Errors and Debugging Techniques
Module 5: Implementing Python Design Patterns
Module 6: Interfacing with REST Web Services and Clients
Module 7: Measuring and Improving Application Performance
Module 8: Installing and Distributing Modules
Module 9: Concurrent Execution

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