Duration: 4 days

Pre-requisites

Prerequisites:

• Used to creating and running Python scripts
• Comfortable using Python’s
  • Basic data types (int, float, str, dict, list)
  • Flow control (for and while loops)
  • Functions (calling and creating)
• And some familiarity with creating and using Python’s objects and classes

In short, it is a follow-on course from the Beginner’s Python course

Course contents

Object oriented programming

• Classes, instances, constructors, attributes and methods
• Python’s object model, special methods and protocols
• Properties, slots, abstract classes
• Inheritance and composition, polymorphism
• Meta programming

Design patterns

• Iterator design pattern, iter() and next(), generators, generator expressions, generator functions, classes as iterators
• Decorator design pattern, functions as first class objects, monkey patching, enclosures, variadic function parameters, decorator factories, decorating a class
• Proxy pattern, lazy loading
• Factory pattern
• Template pattern
• Observer pattern

Automated testing

• Python’s unit test library, pytest
• Test coverage, mocking
• Test driven development (TDD)
• Testing with date and time

Logging, debugging and exceptions

• Simple to advanced logging, logging handlers, configuration
• Debugging tools and tips
• Raising and handling exceptions

Maintainable code

• Coding standards, type hints, refactoring and linting
• Documentation
• Reproducible coding environments

Code re-use

• Importing, standard library, Python Package Index (PyPI)
• Packaging your code, submitting a package to PyPI

Optimising

• Optimising steps
• Timing and profiling
• Optimising for CPU usage and for memory usage
• Threads versus processes
• Multi threading and multi processing

• Producer-consumer pattern
• Thread and process pools
• Asynchronous programming

Optional, time permitting

• Functional Programming and Python