Course name: | Design Patterns in Python |
Course length: | 1 day |
Remote: | Yes |
Open course: | No |
In-house: | Yes |
Course ID: | DPE |
German course | here |
Company courses allow to assemble trainings combining topics from different courses.
You can download our flyer. It has an overview of all our course topics.
Frequently, tasks can be solved following some pattern. Design patterns can be used to group tasks and their solutions. Often problems can be solved with existing patterns. Furthermore, patterns offer a common language for developers with well defined terms to communicate about complex tasks.
In Python many problems can be solved more easily than in other languages. Therefore, several design patterns are not necessary or they are already implicitly contained in the languages.
The Principles of writing pythonic programs are explained and supported with examples. Topics such as beauty of source code, explicit programming, simplicity, readability, and exception handling are included.
One pythonic principle is “It’s easier to ask for forgiveness than permission (EFAP)”. Opposed to the approach to look before you leap, this principle states that you should first try an action and if it fails react appropriately. Python’ strong exception handling supports this principle and helps to develop robust and fault tolerant programs.
Meta classes are an advanced topic of Python programming. Applying meta calsses Complex tasks may be be solved in an elegant manner. The use of meta classes is demonstrated with examples.
Singeltons are objects of which only one instance is supposed to exist. Python provides several ways to implement singeltons. These possibilities are shown using examples.
Null objects can be used instead of the type None to avoid tests for None. Implementation, usage as well as advantages and disadvantages are covered.
Proxies stand for other objects. Setup and usage of proxies are covered.
The observer pattern allows several objects to have access to the same data. The principles of this pattern are shown with a comprehensive example.
Parameters of constructors are often assigned to instance variables. This pattern can replace a many lines of manual assignment with only one line of code.
The participants can follow all steps directly on their computers. There are exercises at the end of each unit providing ample opportunity to apply the freshly learned knowledge.
Every participant receives comprehensive materials in PDF format that cover the whole course content as well as all source code.
The course may be combined with the course Python for Non-Programmers or Python for Programmers.
Tel: | +49 341 260 3370 |
Fax: | +49 341 520 4495 |
mail: | info@python-academy.de |
Tel: | +49 341 260 3370 |
Fax: | +49 341 520 4495 |
mail: | info@python-academy.de |