Python Clean Software-Architecture

The course covers a selection of the following topics:

• Object-Oriented Design (OOD)
• Object-Oriented Programming (OOP) in Python
• How to properly apply OOD and OOP? How to avoid common pitfalls?
• Design patterns (e.g., Gang of Four patterns)
• Architecture patterns (e.g., Clean Architecture, SOLID, GRASP)
• Architectural styles (e.g., Layered Architecture, Hexagonal Architecture)

This course is designed for you if you want to take your design and architecture skills to the next level.

Since this course includes many practical exercises in Python, you should have at least basic knowledge of Python. If you have little to no programming experience, then the "Python Basics Course" is the right course for you!

This course teaches you how to effectively and systematically utilize modern object-oriented techniques to enhance the design of your programs and avoid common pitfalls that can arise when these techniques are used without careful consideration.

You will learn the fundamentals of object-oriented design and object-oriented programming, and see how they can be implemented specifically in Python. We will discuss numerous concrete design and architecture patterns, as well as the benefits and challenges that arise from the deliberate use of patterns.

We will begin with a brief discussion of the principles of design and how Python supports these concepts. We will explore why design patterns are excellent tools for learning object-oriented design and why it is important to be cautious about falling into "patternitis."

Next, we will dive into the "Gang of Four" patterns and discuss the initial design patterns such as Factory Method, Abstract Factory, Observer, Adapter, Composite, and Template Method. We will not only discuss these patterns in abstract terms but also demonstrate how they can be implemented in Python and highlight any specific considerations.

We will then shift our focus to various aspects of clean code and responsibility-driven design, delving into the SOLID and GRASP principles in detail. You will learn, for example, about the Dependency Inversion Principle, which allows you to control the direction of dependencies in your software. While seemingly unremarkable at first glance, it is one of the most critical tools for maintaining control over your software architecture.

Lastly, we will apply the knowledge gained thus far to software architecture. We will discuss how choosing an appropriate architectural style can often drastically reduce the complexity of your software and how to iteratively adapt software architecture to meet current requirements.

Throughout the course, we will use case studies to demonstrate how patterns can be combined to solve various design problems, even when their objectives may sometimes compete with each other.

Certainly, as a participant in the Python Clean Software Architecture course for beginners, you will receive a certificate. The prerequisite for obtaining the certificate is the complete attendance and completion of all course units and programming assignments.

If you are interested in Data Science or Machine Learning, the Machine Learning course is perfect for you. Upon completing this course, you will have excellent and solid Python skills.

3-day on-site course

The course takes place in our modern and top-equipped training rooms. We provide each participant with a modern laptop during the training. Drinks are provided by the Coding Academy. Access to the material will be provided at the latest on the first day of the course

3-day online course
The course takes place online. You only need a computer with Internet access; however, for some courses it is necessary to install the software used; this is specified in the description of the respective course. Access to the material will be provided at the latest on the first day of the course.

4-week program

A new and innovative learning concept. More information about the 4 weeks program can be found here.