Python Fundamentals

Chapter 1: Advanced Python

In the introductory chapter you repeat the most important content from the previous module before getting to know a series of concepts that catapult you to the next level of Python programming. You'll take a deeper look at the function definition and get to know standard values, type hints and assert statements. You can then use functions even better as tools for your projects. You will also cover the terms List Comprehension and Dictionary Comprehension for the efficient creation of 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 learn, using simple examples, what OOP is, which program principles are based on it and what conclusions you can derive from it. In the main part of the chapter, you explore how classes and attributes are defined and used. You will use examples to examine instance methods as well as their use and definition with method chaining . You'll learn what the self keyword is, as well as distinguishing debugging from class definitions . Finally, you test your previous specialist knowledge in an interactive intermediate project and repeat the exercises from the chapter.

Chapter 3 – Inheritance and Composition

In the third chapter 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 more advanced methods such as the inheritance hierarchy and multiple inheritance . You will practice in-depth methods of inheritance 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 testing so that you can discover errors in your code before your users find them.

Chapter 4 – Advanced OOP

In the fourth chapter you will discuss further terms of object-oriented programming that will accompany you in your everyday work. You study how programs and modules differ and what role __ main __ plays in this. You will also learn what decorators are and how to optimally use property decorators . You 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 get to know the representation options for operator overloading as well as other important methods from the Python Standard Library and then apply the learning content you have learned in a company-relevant interim project.

Chapter 5 - OOP Applications

In the fifth chapter you will demonstrate your knowledge 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 uses for machine learning and 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. At the end of Module 2 you will be prepared to use OOP in the corporate world.

Final project

As part of the final project, you will deepen the content you have learned from the Python Basics and Object-Oriented Programming modules and independently program a password manager. To do this, you set up a programming environment and fill your file with data sets using a terminal, which creates a set of rules that configures the password manager.