Advanced Python

Course Dates: 05/12/19 - 12/12/19
Time: 10:00 - 17:00
Location: KS - Keeley Street
Tutors:
Graeme Mitchell

Object Oriented programming underpins modern software development. On this course, you will learn both the theory of OO programming and its implementation in Python. We will also explore the functional programming components of this language.

Description

What is the course about?

Object Oriented programming is a technique that allows both individuals and teams of programmers to best organise their code to reduce complexity and improve maintainability. It is the keystone of modern software development and on this course, we will delve into both the theoretical concepts underpinning OO and also its practical implementation in Python.

Though this course is mainly an exploration of the Object Oriented approach we will also explore the increasingly popular functional paradigm to programming. Like most modern general-purpose programming languages Python implements a number of these concepts to improve the efficiency of programs and the elegance of the code produced.

What will we cover?

• Object Oriented Principles and Theory
• Practical implementation of an OO model in Python
• Functional Programming concepts
• Practical implementation of Python functional programming.

What will I achieve?
By the end of this course you should be able to...

By the end of this course you should be able to:

- Describe and implement in Python the following key concepts of OO programming:
Abstraction, information hiding and encapsulation
Class and Objects
Polymorphism
Association (inheritance), Aggregation and Composition

- Describe and implement in Python the following key concepts of functional programming:
Statelessness and immutability
First class and higher order functions

- We will also use list comprehensions and the map function.

What level is the course and do I need any particular skills?

You will need to be able to use sequence (if, elif statements), repetition (for and while loops), lists, dictionaries and be also able to create your own subroutines using the def statement in Python.

You should also be able to follow spoken instructions, read written instructions and information, and discuss work with your tutor in English.

How will I be taught, and will there be any work outside the class?

There will be some theoretical underpinning to the course, but it is nearly all practical, through Teacher demonstration and practical programming and problem solving activities. There is no official work set outside the class but it is a good idea to practise the skills you have learnt to reinforce classroom learning.

Are there any other costs? Is there anything I need to bring?

Computers are provided for each student with all the necessary software installed. All the software used on the course is free to download and use and your tutor will recommend where to find this software for home use. Unfortunately due to the range of hardware and software used by students at home, the College is unable to provide advice on installation issues.

If you wish to copy the programs you produce on the course please bring a USB key or have access to a cloud service such as Google Drive or Dropbox. A pen and notepad for note taking is also advised.

When I've finished, what course can I do next?

Data science with python, or any other programming language such as Java, C++, C#.

General information and advice on courses at City Lit is available from the Student Centre and Library on Monday to Friday from 12:00 – 19:00.
See the course guide for term dates and further details

Reviews
Tutor Biographies
We’re sorry. We don’t have a bio ready for the tutor of this class at the moment, but we’re working on it! Watch this space.

Book your place

Course Code: CWPD02

Thu, day, 05 Dec - 12 Dec '19

Duration: 2 sessions (over 2 weeks)

Full fee: £229.00

Or call to enrol: 020 7831 7831

Download form & post

Any questions? computing@citylit.ac.uk
or call 020 7492 2515

Please note: we offer a wide variety of financial support to make courses affordable. For more information visit our online Help Center. You can also visit the Information, Advice and Guidance drop-in service, open from 12 – 6.45, Monday to Friday.