Object-Oriented Programming.

Chapter 1: Advanced Python

In the first chapter, the definition of functions is further deepened and you will learn about default values, type hints and assert statements. You will then be able to use functions even better as tools for your projects. You will work with the terms List Comprehension and Dictionary Comprehension to efficiently create lists and dictionaries. At the end of the chapter, you will learn how to adapt your code to the industry standard PEP8 based on layout and structure.

Chapter 2: OOP Basics

In the second chapter, you will use simple examples to learn what OOP is, which program principles are based on it and which conclusions you can draw from it. In the main part of the chapter, you will explore how classes and attributes are defined and used. Using examples, you will examine instance methods as well as their use and definition with method chaining. You will learn what the self keyword is and how to distinguish debugging from class definitions. Finally, you will test your previous knowledge in an interactive intermediate project.

Chapter 3: Inheritance and Composition

In the third chapter, you will learn what inheritance and compositions are and how to use these concepts in use cases. In addition to simple inheritance, you will also learn more advanced methods such as the inheritance hierarchy and multiple inheritance. You will practise in-depth inheritance methods that are used to reuse data from parent to child classes and compensate for data loss. Finally, we will provide you with the most important best practices for unit tests to detect errors in your code before your users find them.

Chapter 4: Advanced OOP

In the fourth chapter, you will cover advanced concepts of object-oriented programming that will accompany you in your day-to-day work. You will study how programs and modules differ and what role _ _main_ _ plays in this. You will also learn what decorators are and how to make optimum use of property decorators. You will look at static and class methods and which special methods and class representations can be used with _ _str_ _() and _ _ _repr_ _(). Building on this, you will learn about representation options for operator overloading and other important methods from the Python Standard Library and then apply what you have learned in a company-relevant intermediate project.

Chapter 5: OOP applications & final projects

In the fifth chapter, you will put your knowledge to the test in two larger projects that represent classic use cases of object-oriented programming. In the first project, you will build your own interface to a popular data science library, which enables further possible uses for machine learning or data or text analysis. The second project deals with programming your own blockchain, where you will get to know the underlying concepts in more detail.