Duration

5 days

WHAT YOU WILL LEARN

This Advanced Python training course picks up where introduction to Python Programming left off. This program discusses some topics in more detail and adding new topics which leads students to develop Python scripts using more advanced features such as file operations, regular expressions, working with binary data, and using extensive functionality of Python modules. The Advanced Python Programming covers classes in greater detail, with new coverage of OS services, date/time management, binary data, unit testing, database connectivity, network programming, web programming with Django and more. The course is supplemented with many hands-on labs, solutions, and code examples.

AUDIENCE

Anyone Python programmer who needs to know Python in depth.
Anyone who wants a solid exposure to Python as their first programming language

PREREQUISITES

All students should be able to write simple Python scripts, using basic data types, program structures, and the standard Python library

METHODOLOGY

This program will be conducted with interactive lectures, PowerPoint presentation, discussion, and practical exercise.

COURSE OBJECTIVES

At the end of the course, participants will be able to:

Demonstrate the use of the ITIL guiding principles in Digital & IT Strategy decisions and activities
Understand how to leverage digital strategy to react to digital disruption
Understand the relationship between the concepts of Digital & IT Strategy, the service value system, and the service value chain, and explain how to utilize them to create value
Understand how an organization uses Digital & IT Strategy to remain viable in environments disrupted by digital technology
Understand strategic approaches made possible by digital and information technology to achieve customer/market relevance and operational excellence
Understand the risks and opportunities of Digital & IT Strategy
Understand the steps and techniques involved in defining and advocating for a Digital and IT Strategy
Understand how to implement a Digital and IT Strategy

Module 1: Introduction

Python refresher
Common idioms
Data types
Conditionals
Loops
Sequences
Mapping types
Useful types from collections
Program structure
Files and console, I/O
Functions, Modules, and packages
Lambda functions
Variable scope
List comprehensions
Generator expressions
Creating modules
Using the import statement
Module search path (PYTHONPATH)
Documenting modules
Built-ins
The OS module and Date Time module

Introduction

First-class Everything
A Minimal Class in Python
Attributes
Methods
The __init__ method
Data Abstraction
Data Encapsulation and Information Hiding
__str__ and __repr__ method
Public Private and Protected Attributes
Destructor
Class and Instance Attributes
Static Methods
Class Methods
Properties - Getters and Setters

Introduction

Syntax Inheritance
Overloading
Overriding
Multiple Inheritance
Diamond Problem
Super and MRO
Polymorphism
Slots
Avoiding Dynamically created Attributes

Introduction

Method of Operation
Using a 'return' in a Generator
Send Method / Coroutines
The throw Method
Decorating Generators
Yield from
Recursive Generators
A Generator of Generators

Introduction

Functions inside Functions
Functions as Parameters
Functions returning Functions
A Simple Decorator
Syntax for Decorator
Use cases for Decorator
Decorators with Parameters
Classes instead of Functions

Module 6: Metaprogramming

Implicit properties
Global and Local variables
Closures
Working with object attributes
The inspect module
Callable classes
Decorators
Monkey patching
Regular Expressions
RE Objects and Pattern matching
Parsing data
Subexpressions
Complex substitutions
RE tips and tricks

Module 7: Developer Tools

Analysing programs with Pylint
Using the debugger
Profiling code
Testing speed with benchmarking
Unit test
Creating a Test cases
Writing tests
Running tests

Module 8: Database access

The DB API
Available Interfaces
Connecting to a server
Creating and executing a cursor
Fetching data
Parameterized statements
Using Metadata
Transaction control
ORMs and NoSQL overview

Introduction

Downloading and Installing PyQt and Qt Designer
Qt Architecture
Preparing the Development Environment
Navigating Qt Designer
Creating a UI in Qt Designer
Using designer
Standard widgets
Event handling
Writing the Application Logic in PyCharm
Running the Application
Expanding the Application
Adding Widgets, Charts, etc.
Developing GUI application accessing a Database

Module 10: Network Programming

Built-in classes
Using requests
Grabbing web pages using BeautifulSoup
Sending email
Working with binary data
Consuming RESTful services
Remote access (SSH)

Module 11: Multiprogramming

The threading module
Sharing variables
The queue module
The multiprocessing module
Creating pools
About async programming
Running external programs
Parsing arguments
Creating filters to read text files
Logging

Module 12: Serializing data

Working with XML
XML modules in Python
Getting started with Element Tree
Parsing XML
Updating an XML tree
Creating a new document
About JSON
Reading/Writing JSON
Reading/Writing CSV files

Module 13: Internet Programming - Django

Creating a Project
Apps Life Cycle
Admin Interface
Creating Views
URL Mapping
Template System
Models
Page Redirection
Sending E-mails
Generic Views
Form Processing
File Uploading
Apache Setup
Cookies Handling
Sessions
Caching
Comments
Django – RSS

Overview

Signup for GitHub
GitHub Profile
GitHub Settings
Creating a GitHub Repository
Linking to our GitHub Repository
Pushing Changes to GitHub
Verifying our Changes on GitHub
Comparing with Pull Requests
Comparing Commits / Tags
Social Coding Overview
Copying A GitHub Repository by Forking
Creating A Branch on Your Fork
Pull Requests
Updating Pull Requests
Accepting the Pull Request
GitHub Graphs
Synchronize Changes Back to Your Fork
Enlisting Help with Collaborators

Programme scope, delivery arrangements and suitability are confirmed during enquiry.