Python advanced course

The course covers a selection of the following topics:

• Quick review of Python basics for refreshment and consolidation
• Object-oriented programming
  • Custom data types
  • Inheritance and polymorphism
  • The Python data model and "magic methods"
• Error handling with exceptions
• Iteration, comprehensions, and generators
• Working with files and structured data (JSON, XML, etc.)
• Introduction to testing with Pytest

This Python course is designed for you if you:

• Have a solid foundation in Python, such as having completed our Python basics course or possessing equivalent knowledge, or
• Have good prior knowledge of another programming language, such as Java, C#, C++, JavaScript, or PHP

and want to delve deep into Python!

If you are new to the programming world and are looking for a beginner Python course without prior programming experience or with limited knowledge of another language, please consider enrolling in our Python basics course.

You are a Python programmer looking to quickly and efficiently take your Python skills to the next level in a practical manner? You want to acquire knowledge in object-oriented programming and advanced Python topics to tackle challenging projects? You aim to organize your code into reusable modules and packages?

Or perhaps you are already well-versed in control structures, functions, and collections from another programming language, and you want to dive deep into Python without spending much time on the basics of the language, which you can learn "on the fly" due to your existing knowledge?

In either case, this course is perfect for you, and there's no need to search any further.

In this course, we assume that you have a basic understanding of concepts and language elements such as variables, data types, functions, and collections, although you may be familiar with them in a different language other than Python. Therefore, we start with a "quick run-through" of the essential program elements in Python: variables, operations, conditions (if/elif/else), loops (for), functions, as well as collections like lists and dictionaries. We will proceed rapidly, focusing mainly on the syntax and some peculiarities of these constructs in Python to bring all course participants to the same level of understanding. The majority of the time will be dedicated to topics that go beyond the basics.

We will discuss different ways to define and use custom data types in Python, exploring their advantages and disadvantages. Additionally, you will learn how the Python data model works and how to use "magic methods" to make your data types more user-friendly.

Next, we delve into the fundamentals of functional programming in Python, including closures and anonymous functions. You will also become familiar with decorators, which often help avoid duplicated code and express your design intentions more clearly.

Following that, we dive into object-oriented programming. We explore how to utilize inheritance and polymorphism to express related concepts clearly and concisely in code. You will learn how to employ abstract classes in Python to describe interfaces and also gain insight into protocols, which in many cases serve as an alternative to interfaces.

You will learn how to handle exceptions to respond to errors and unexpected situations. In Python, explicit exception handling can often be avoided using context managers. We discuss how to use various context managers and even implement your own.

We briefly touch upon testing your code and demonstrate how to ensure that your code does what you expect using doctests and unit tests.

Next, we discuss how to create installable Python packages to share your code with colleagues or contribute to the Python Package Index, the open-source ecosystem where you can make your software available to the world.

Finally, we delve into handling text-based data and discuss how to work with texts in Python. We explore regular expressions, a powerful tool for searching and replacing text that will prove useful in many situations.

The extent to which we cover all of these topics depends on our progress. The pace may vary depending on the participants' prior knowledge. The more homogeneous the group, the greater the benefit for all participants. Therefore, we limit our courses to a maximum of 8 people with similar backgrounds and knowledge levels.

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

After completing this Python advanced course for programmers and advanced learners, you will possess solid and well-founded Python knowledge that you can effectively apply to challenging projects. If you are interested in improving your code style and code quality, topics such as Clean Code and Clean Test are of great importance. We recommend our course "Python Clean Code and Test" to further develop your skills in this area. If you are more inclined towards software architecture, we suggest taking our "Python Clean Architecture" course.

If you work with large amounts of data and your interest lies more in the field of data science and artificial intelligence, our "Machine Learning Course" is the ideal choice for you. In this course, you will learn the fundamentals of machine learning with Python and receive practical guidance on algorithm application and data analysis. By taking this course, you will expand your skills and prepare yourself for successfully implementing data-driven projects.

Our courses provide you with the opportunity to deepen your Python knowledge in specific areas and systematically enhance your skills. Our experienced team of trainers will accompany you throughout the course and assist you with any questions or concerns you may have. At the end of each course, you will receive a certificate that verifies your participation and acquired knowledge.

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.