Python Advanced
Description
This training course leads the students into the depths of Python programming language. 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.
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
