Couse Outline
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.
Python 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 sales@jbinternational.co.uk
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.
