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Python Programming Training Course UK

Dates and full course list

Python Programming Course Overview

Course Code:	PYT0010
Price:	£1995
Duration:	5 Days - custom / on-site options available - please call.
DATE:
Who should attend:	Programmers who are new to Python, who require the skills to develop commercial Python applications.
Prerequisite Skills:	Programming experience of another language such as Java, C++, C#.

Python is a dynamic object-oriented programming language. It offers strong support for integration with other development languages and tools, and comes with extensive standard libraries.

Using Python correctly can lead to productivity gains and many users feel the language encourages the development of higher quality, more maintainable code.

Course Content

Our Python training course provides an overview of Python architecture, and intensive hands-on experience in the development and implementation of Python applications.

This course has been developed for real-world, commercial scenarios by our expert instructors. See below for detailed syllabus. If you have a technical question, please email

What you will learn

1. Learn the Python basics - language, syntax, potential uses
2. Learn about the standard libraries
3. How Python integrates with other languages
4. String and XML processing with Python.
5. Threading and Synchronisation with Python.
6. GUI development with Python
7. Version control

Python Training Course Outline

Introduction to Python

Data: values, variables, functions.
Functions: declarations, scope.
Classes and objects.

Taking things further

Lists, dictionaries and list comprehensions.
Aspects of dynamic binding.
Higher order functions.
Declarative expression of algorithms.
Exceptions: EAFP.
Inheritance, old-style and new-style classes.
Polymorphism.

Python in context

How Python relates to C, C++, Java, Groovy, Ruby, JavaScript

String and XML processing

String processing.
Template processing.
Generating XML.
Parsing and processing XML.

C and C++ integration

Using Python to execute C and C++ code.
Native interfaces.

Concurrency and parallelism

Threads.
Locks and synchronization.
Deadlock and livelock.
Lock-free programming.
Data parallelism.

Networking

Review of Internet concepts, IP, TCP, UCP, multicasting.
URIs, URLs
HTTP and Web access.
Client--server approaches.

GUI programming:

Event driven programming.
Widgets and UI construction.
Interface design and human--computer interaction.

Build systems:

Why Python is good for such tasks.
Example frameworks: SCons, Waf, Django, Pylons.

Continuous Integration:

Relationship with version control.
Example systems.