Object-oriented programming with Python

1. advanced techniques in Python

• You will get into advanced techniques with Python and learn about default values, type hints and assert statements.
• You will get to know the List Comprehension and Dictionary Comprehension methods and learn how to use them to efficiently create lists and dictionaries.
• You will learn how to adapt the layout and structure of your code to the industry standard PEP8.

2. basics of object orientation

• Using simple examples, you will learn what OOP is, which programming principles are based on it and which conclusions you can draw from it.
• You will learn how to define and use classes and attributes. You will examine instance methods using examples and use them with method chaining.
• You will learn what the keyword self is and how to differentiate between class definitions when debugging. Finally, you will test your acquired knowledge in an interactive intermediate project and repeat the exercises from the chapter.

3. inheritance and composition

• You will learn what inheritance and composition are and how to use these concepts in use cases.
• In addition to simple inheritance, you will also learn about advanced methods such as the inheritance hierarchy and multiple inheritance.
• You will learn how to reuse data in superordinate and subordinate classes and avoid data loss.
• Finally, you will receive the most important best practices for unit tests to find errors in your code.

4. advanced object-oriented programming

• You will deal with advanced concepts of object-oriented programming that will accompany you in your daily work. You will deal with the difference between programs and modules and the role of main.
• You will learn what Decorators are and how to use Property Decorators optimally.
• You look at static and class methods and which special methods and class representations can be used with str() and repr().
• You will learn about the display options of the Overloading operator and other important methods with the Python Standard Library and then apply what you have learned in an intermediate project.

5. programming object-oriented applications

• Finally, you will put your knowledge to the test in two larger projects and create applications that you can use in your own projects.
• In the first project, you will build your own interface to a popular data science library to use machine learning for data or text analysis. 
• In the second project, you will program your own blockchain with Python, which you can use for the transfer of digital tokens.