Advanced Python: Best Practices and Design Patterns

In this module, you will learn how to:

• Write "Pythonic" code
• Modify code dynamically with monkey patching
• Process large data structures efficiently with generators
• Handle exceptions
• Raise user-defined exceptions
• Reduce code complexity with context managers and the "with" statement

In this module, you will learn how to:

• Develop and run Python unit tests
• Simplify automated testing with the Pytest package
• Verify code behavior
• Mock dependent objects with the Mock package
• Use mock objects to verify code behavior when exceptions occur

In this module, you will learn how to:

• Log messages for auditing and debugging
• Check your code for potential bugs with Pylint
• Debug your Python code
• Extract error information from exceptions
• Trace programme execution with the PyCharm IDE

In this module, you will learn how to:

• Implement the Decorator pattern using @decorator
• Control access to an object with the Proxy pattern
• Lay out a skeleton algorithm in the Template Method pattern
• Enable loose coupling between classes with the Observer pattern

In this module, you will learn how to:

• Build a REST service
• Generate JSON responses to support Ajax clients
• Send REST requests from a Python client
• Consume JSON and XML response data

In this module, you will learn how to:

• Time execution of functions with the "timeit" module
• Profile programme execution using "cProfile"
• Manipulate an execution profile interactively with "pstats"
• Efficiently apply data structures, including lists, dictionaries, and tuples
• Map and filter data sets using comprehensions
• Replace the standard Python interpreter with PyPy

In this module, you will learn how to:

• Install modules from the PyPi repository using "pip"
• Port code between Python versions
• Package Python modules and applications
• Establish isolated Python environments with "virtualenv"
• Build a distribution package with "setuptools"
• Upload your Python modules to a local repository

In this module, you will learn how to:

• Create and manage multiple threads of control with the Thread class
• Synchronise threads using locks
• Launch operating system commands as subprocesses
• Synchronise processes with queues
• Parallelise execution using process pools and Executors