Python Design Patterns

About Course

The course provides a comprehensive overview of Python design patterns in practice. This course covers patterns by: using the latest version of Python using modern programming approaches: dependency injection, reactive programming, etc. use of modern development tools such as PyCharm discussions of various variations of patterns and different approaches.

In this course we will look at all the design patterns from the Gang of Four book, as well as their various modern variations with amendments and the use of features of the Python language.

Course Content

Introduction to Python

Download source code
Download source code
Why Python?
Python from a technical point of view
Python 2 vs Python 3
Standard Library
Code editors for Python
Installing the Anaconda distribution
Introduction to Anaconda
Jupyter Notebook won’t launch through Anaconda Navigator?
Python Basics

Python Basics

Overview of Basic Data Types
Numbers and basic mathematics
Variables
bool and None
Type string
String functions
Formatting strings
Comparison Operators
File Operations
Strings and bytes: str, bytes, bytearray

Collections, Loops, and Logic in Python

list – list
dict – dictionary
OrderedDict vs dict
tuple – tuple
namedtuple – named tuples
Logic with conditions
set – set
For loop
list comprehension
Loop while, continue, break

Functions and modules

Errors and exceptions. Automated tests

OOP in Python

Class Basics
Attributes and Methods
Constants. Protected and private attributes. Properties.
Static methods – @staticmethod, @classmethod
Hagfish
Abstract class and module ABC
Magic methods
Homework: tic-tac-toe
DZ solution: implement tic-tac-toe
OOP in Python

Additionally

Debugging
Let’s implement Stack
datetime – dates and times
Singleton Design Pattern: __new__ and __init__
Pickle – canning
repr and str, eq and ne, eval
Deep copy vs Shallow copy
Introspection
Requests module
Memory management
Advanced topics

Let’s move on

What’s new in Python 3.8

Additional materials-1. Introduction to Multithreaded Programming

Additional materials-1. Threading module

Single threading. Demo problems
Foreground & Background threads
“Parallel” versus serial execution
Executor API
submit-demo
map demo
Thread synchronization
Race and Lock
Deadlock
Implementing cancellation through the Unit of Work pattern
Summary
Exception Handling
Exception Handling – Demo

Additional materials-1. asyncio module

Introduction to asyncio
The simplest example with asyncio
Event Loop. Introduction
async for
Exception Handling
Exception Handling – Demo
Cancel. Introduction
Cancel with gather
Cancel with wait. Cooperative abolition
async IO vs sync IO

Introduction to SQL

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About Course

What Will You Learn?

Course Content

Introduction to Python

Download source code

Download source code

Why Python?

Python from a technical point of view

Python 2 vs Python 3

Standard Library

Code editors for Python

Installing the Anaconda distribution

Introduction to Anaconda

Jupyter Notebook won’t launch through Anaconda Navigator?

Python Basics

Python Basics

Overview of Basic Data Types

Numbers and basic mathematics

Variables

bool and None

Type string

String functions

Formatting strings

Comparison Operators

File Operations

Strings and bytes: str, bytes, bytearray

Collections, Loops, and Logic in Python

list – list

dict – dictionary

OrderedDict vs dict

tuple – tuple

namedtuple – named tuples

Logic with conditions

set – set

For loop

list comprehension

Loop while, continue, break

Functions and modules

Feature Help

Built-in functions

Feature Basics

Lambdas

Nested functions and variable scope

Decorators

Decorator @wraps

Errors and exceptions. Automated tests

Error Handling Basics

Throwing exceptions. Custom exception types.

Unit Testing Basics

Dealing with errors

OOP in Python

Class Basics

Attributes and Methods

Constants. Protected and private attributes. Properties.

Static methods – @staticmethod, @classmethod

Hagfish

Abstract class and module ABC

Magic methods

Homework: tic-tac-toe

DZ solution: implement tic-tac-toe

OOP in Python

Additionally

Debugging

Let’s implement Stack

datetime – dates and times

Singleton Design Pattern: __new__ and __init__

Pickle – canning

repr and str, eq and ne, eval

Deep copy vs Shallow copy

Introspection

Requests module

Memory management

Advanced topics

Let’s move on

Introduction to Linters

Installing “system” Python

Virtual environment

Installing PyCharm

Create a project in PyCharm

Singleton Design Pattern: new and init