Python Advanced

This training course leads the students into the depths of Python programming language.
  • duration 40 hours
  • Language English
  • format Online
duration
40 hours
location
Online
Language
English
Code
SCRIPT-006
price
€ 800 *

Available sessions

To be determined



Training for 7-8 or more people?
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Description

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains, including finance, telecom. Python is often compared to Java, PHP, Perl, Ruby or Scheme.

After completing the course, a certificate is issued on the Luxoft Training form

Objectives

  • Learn advanced Python techniques
  • Recap basic features, OOP
  • Advanced features – decorators, templates
  • How to use regular expression in Python
  • Learn how to use Python Database API
  • Learn how to use Python development tools - testing frameworks, documentation, parallel processing, logging
  • Create graphical interfaces with Python/Tkinter
  • Know about Django framework

Target Audience

Developers, system administrators, and QA engineers, who wish to be able to develop, automate and test applications and systems using one of the most powerful programming languages available today.

Prerequisites

  • Basic general programming knowledge – OOP, database, web programming
  • Basic scripting language knowledge.
  • Ability to understand logical code flows.

Roadmap

Module 1. Introduction

  • Why python?
  • Executing Python Code
  • Execution model variations
  • Running python scripts
  • Very basic control structures
  • Function syntax
  • Debugging python scripts
  • Modules/packages


Module 2. Basic types

  • Basic types: numeric
  • Basic types: strings
  • String type
  • Lab 1: Simple scripts

Module 3. Sequence types

  • Sequence types
  • List/sequence functions
  • The dictionary type
  • Using set/frozenset type
  • Other sequence types/functions

Module 4. I/O operations

  • Basic file operations
  • Path operations
  • Communicate with external processes
  • Parsing command line arguments

Module 5. Additional control structures

  • context manager and with/as
  • comprehensions
  • creating generator functions
  • Lab 2: Scripts with sequence types

Module 6. Regular expressions in Python

  • Regular expression elements
  • Use cases for flags
  • Additional features in regular expressions
  • Lab 3: Regular expressions

Module 7. Python development tools

  • Document your code
  • Testing frameworks
  • Logging in python
  • Parallel processing

Module 8. Advanced topics

  • Decorator

Module 9. Object oriented programming in Python

  • OOP basics
  • Member functions
  • Member attributes
  • Operators
  • Class/function decorators
  • Python class template
  • Lab 4: Python OO

Module 10. Python Database API

  • Connecting to DB API compliant Relational Database
  • Management Systems

Module 11. Creating graphical user interfaces using

  • Python/Tkinter
  • Tkinter widgets and their standard attributes ◦Dimensions
  • Organizing widgets in the parent widget area

Module 12. Intorduction to the Python Django WEB

  • application framework
  • Architecture
  • Creating a Hello world project
  • Managing settings
  • Lab 5: Using frameworks

  • Trainer

Konstantin Okhrimenko


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