Hands-On Professional Python Programming Level 2

Who should attend

This course is ideal for anyone who wants to be able to further develop their Python skills, while preparing for the associated exam.

Prerequisites

Learners should have attended the Professional Python Level 1 training course or have equivalent experience.

Dataclasses

• Traditional class
• Defining a Data Class
• Additional behaviour
• The dataclass descroator
• Custom factory for fields
• Immutable dataclasses
• Dataclasses and inheritance
• Post Initialization
• Initialization variables
• Positional Attributes
• Dataclasses and structural matching

Testing

• Test Driven Development
• What is pytest?
• Writing tests
• Organising Tests
• Test Fixtures
• Parameterized tests
• Testing for Exceptions
• Ignoring Tests

Mocking

• What is mocking
• Mocking with pytest-mock
• Working with pytest-mock

Abstract Base Classes (ABCs)

• Abstract Classes
• Abstract Base Classes (ABCs) in Python
• Subclassing an ABC
• Defining an ABC
• Defining Abstract Methods
• Virtual Subclasses
• Mixins

• Developing the IDPrinterMixin

Databases and the Python DB-API

• DB-API

• Connection function and object

• Cursor Object

• Row Descriptors

• Database Errors

• Transactions

• PyMySQL module

• Connecting to a MySQL database

• Working with a Cursor

• Inserting, Updating, Deleting from a MySQL database

• Table Creation

NoSQL Databases (MongoDB) and Python

• Non-Relational Databases

• SQL vs NoSQL

• MongoDB

• PyMongo

• Establishing a Connection

• Accessing Databases

• Inserting Documents

• Retrieving Documents

• MongoEngine

• Object Document Mapper

Threading

• Python Threads

• Thread States

• The Thread Class

• Creating a Thread

• Passing Arguments to a Thread

• Multiple Threads

• Daemon Threads

• Naming Threads

• Thread Local Data

• Timers

• Threading module functions

Processes

• The multiprocessing Library

• The Process Class

• Working with the Process class

• Alternative Ways to run a process

• Using a Pool

• Exchanging data between Processes

• Sharing State between Processes

Inter Thread / Process Communications

• Inter Thread / Process Comms

• Using a Barrier

• Event Signalling

• Synchronizing Concurrent Code

• Python Locks

• Python Conditions

• Python Semaphore class

• Concurrent Queue class

Metaclasses and MetaProgramming

• What is metaprogramming?
• Decorators as a from of metaprogramming
• Metaclasses for Metaprogramming
• Exec and eval for metaprogramming

Design patterns

• What are design patterns
• Pattern libraries and the GoF
• Singleton design pattern and implementations in Python
• Singleton Metaclass
• Factory Pattern
• Façade pattern]
• Proxy Pattern
• Command Pattern
• Observer Pattern

Python Profiling

• Profiling and Performance

• Timing code

• Profiling with cProfile

• Memory Analysis

• Commercial profilers

Generators and Coroutines

• Generators
• Generator Functions
• Generator with a for loop
• When do yield statements execute?
• An event number Generator
• Coroutines

__init__ versus __new__

• Comparison of methods
• The __new__method
• The use of __new__
• The __init__ method
• Use of __init__
• Can they be combined

All labs / tutorials are interactive. All examples presented in lectures are available to be run from the associated Git Hub repo.

Real world APIs used in this course pytest, pytest-mock, csv, fileinput, openpyxl.

Live, instructor-led online and on-site training

This Python course is available for private / custom delivery for your team - face-to-face, on-site at your location of choice, or remotely via MS Teams, Zoom or your own platform - get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.

• Anaconda - a well-curated distribution that helps you install and manage Python plus a wealth of Open Source tools
• PyCharm - popular Python IDE by JetBrains
• Python extension for Visual Studio Code - Microsoft's free IDE is another popular choice for Python developers
• PyDev - another popular IDE - you can install as a standalone or as a plugin for Eclipse
• Jupyter Notebooks - comes with Anaconda but you can install it independently.
• Pip - a simple but effective command-line tool that makes it easy to obtain and install Python packages