Elevate your Python proficiency with our comprehensive Python for Power User training course. Building upon foundational Python knowledge, this program delves into advanced concepts and practical applications crucial for mastering Python's extensive capabilities.

Throughout the course, participants will explore a wide array of topics designed to sharpen their Python prowess. From essential file operations and regular expressions to harnessing the full potential of Python modules, students will gain hands-on experience through interactive labs, solutions, and real-world code examples.

Our curriculum encompasses an in-depth examination of Python classes, supplemented with expanded coverage of OS services, date/time management, binary data manipulation, unit testing, database connectivity, network programming, and web development using Django.

Training Duration: 5 Days

SBL-Khas Claimable
Certificate Of Completion Available
Private In-House Class Available
ILT & VILT Class Available

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P-PPU: Python for Power User

RM3,500.00

RM2,800.00

This Python for Power User 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 extensivefunctionality of Python modules.
The Python for Power User 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
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 & ITStrategy 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
Anyone Python programmer who needs to know Python in depth.

Anyone who wants a solid exposure to Python as their first programming language
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

Module 2: Object oriented programming

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

Module 3: Inheritance

Introduction

Syntax Inheritance

Overloading

Overriding

Multiple Inheritance

Diamond Problem

Super and MRO

Polymorphism

Slots

Avoiding Dynamically created Attributes

Module 4: Generators

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

Module 5: Decorators

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

Module 9: PyQt

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.

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

Module 14: Welcome to GitHub

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

P-PPU: Python for Power User

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