Hands-On Professional Python Programming Level 1

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

You should already have a basic understanding of the Python syntax, class concept, functions, modules, data containers (such as List, Tuple, Dictionary), Strings and so forth. If you have any questions (such as building this into a wider training programe / graduate scheme, please get in touch).

Hands-On Professional Python Programming Level 1

Advanced Classes

• classes, instances, attributes, methods; class and instance data;
• operator overloading
• shallow and deep operations;
• inheritance and polymorphism,
• serialization,
• composition versus inheritance,
• static and class methods

Python properties

• Python Attributes

• Setter and getter style methods

• Public Interface to Properties

• Decorators

• Python Properties

Functional Programming in Python

• What is Functional programming?

• Advantages of FP

• Disadvantages of FP

• Functions in Python

• Higher Order Functions

• Functions Returning Functions

• Built-in Higher Order Functions & Reduce

• Curried Functions

• Accessing global variables and the global keyword

• The nonlocal keyword

Clean Coding Practices

• General principles
• Class Design
• Python Conventions
• Interface Design

Custom Decorators

• What are Decorators?

• Defining a Decorator

• Using a Decorator

• Functions with parameters

• Stacked Decorators

• Parameterised Decorators

• Method Decorators

• Class Decorators

• Implementing the Singleton pattern using a Decorator

• When is a Decorator Executed?

• Built-in Decorators

• FuncTools Wrapper

Sockets and the socketserver module

• Socket to Socket Communication

• The Client Server Architecture

• Server Application

• Client Application

• The Client Server Interaction

• The socketserver module

Pythons Logging library

• Logging module

• The Logger

• Log Levels

• Setting the Log level

• Turning off logging

• Module level loggers

• Logger Hierarchy

• Handlers

• Formatters & Formatting options

• Filters

• Logger Configuration Files

• Configparser

RESTFul Services and Flask

• RESTFul Operations

• Motivation for REST

• REST Principles

• The Basic Concept / The Rest Design Pattern

• The Web is a RESTFul system

• REST – Not a Standard

• Claimed Benefits of RESTFul Services

• Python RESTFul Frameworks

• Implementing Flask RESTFul Services

• Getting Started with the Service

• Providing Routing Information

• Running the Service

• Invoking the Service

• Book Service

GUI Programming

• Introduction to Tkinter
• Tkinter widgets
• Tkinter events
• Tkinter toolkits

File processing

• Working with CSV files
• Working with Excel files

Access the runtime environment

• for os, datetime, io and time

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