This three-day course introduces advanced and specialised topics in the Python programming language. The course is aimed at programmers, software developers and software architects who are familiar with Python and want to improve their understanding of how the language works and apply it to a wider range of applications. Participants are given instructive problems to solve using the newly learned techniques. Depending on the objectives and the desired focus of the participants, topics may include a selection of the following:

- Object-oriented programming in Python

- Solving problems with idiomatic Python constructs

- Mastering advanced data structures

- Use advanced data stores such as databases

- Use structured file formats (e.g. XML, JSON)

- Structuring of programmes into larger packages

- Distributing libraries as Python packages

- Use of dynamic language functions to avoid writing code

- Interactively develop and explore Python code in Jupyter notebooks

- Reading data from remote data sources and web APIs

- Asynchronous Programming

What do you learn on the first day?

You will learn how to define classes, constructors and methods in Python, distribute them in different packages and modules, create objects and call methods. We work with PyCharm or with Visual Studio Code. With many examples and tasks you will master object-oriented programming in Python (OOP). Then we move on to more advanced OOP topics such as inheritance and polymorphism. We can already realise a small management system with this!

What do you learn on the second day?

You will learn advanced techniques in data structures such as lists and dictionary comprehension, but also iteration and generators. Then we look at working with files in detail: reading, writing and modifying files with Python. You learn how to store data in databases, and how to process structured file formats like XML and JSON with Python. Now what happens when you want to process a file that does not exist? To handle such exceptions, you also learn about exception handling, exception and how exception handling looks like in Python.

What do you learn on the third day?

On the last day you will learn more advanced and important topics such as asynchronous programming in Python, how parallel programming and thread are handled in Python. Now you are able to write very sophisticated projects in Python, but how do we best structure the project? Here you will learn more best practices about packages and modules and if there is enough time, you will get a taste of the unit test course with Python. We are happy to give you a short introduction to Pytest and how you can test your Python code. This depends on how far we have come. Alternatives could be reading data from remote data sources and WEP APIs.

What is the difference between Python for Advanced Training and the other Python training courses at Münchner Akademie?

The Python for Beginners course corresponds to the "Basic" level. The Python for Programmers course corresponds to the "Intermediate" level, while the Python for Advanced corresponds to the "Advanced" level. It covers advanced topics from the Python language itself, i.e. from Python Core without foreign libraries. The Python for Engineers course, on the other hand, covers external Python libraries for working with everyday engineering problems and scientific problems. The Python as Scripting Lanugae course, on the other hand, is a course for using Python as a scripting language to control or automate any processes. Neither data structures nor object-oriented programming are covered. Which course is right for you depends on your goal. With exclusive company training, you and your team can even put together a combination of different topics from different courses. We will help you to put together the most suitable and goal-oriented topics for you. Topics that maximise the benefits for your team and move them forward effectively.

Where do we go from here?

After this course, you will have "Advanced" level in Python and will be able to master demanding Python programmes. If you want to continue your education in this exciting area, we recommend the course Clean Code with Python, or Clean Unit Testing with Python, or Clean Software Architecture with Python. If you need Python for mathematical calculation, statistics and simulation of processes, we recommend the course "Python for Engineers". Or maybe you are interested in artificial intelligence topics, then you are well equipped with this course to master the AI tasks with Python. We look forward to welcoming you to this and future courses at the Munich Coding Academy!

CERTIFICATE

Of course, you will receive a certificate as a participant in the Python course for advanced programmers. The prerequisite for this is the complete participation in all course units and programming tasks and the successful programming of a small final project. This, however, will give you more pleasure than stress after this intensive Python basic course.

AGENDA

The agenda is written in English due to the numerous technical terms. You will receive descriptions and course material in German. You can book the course in either German or English.

All seminar contents are individually adapted to the wishes of our participants. They can vary depending on the level of knowledge and are defined together with the seminar leader on day 1. In this Python seminar, you can choose from the following topics:

Asynchrone Programming

• Parallel Programming
• Multithreading

Python Exception

• What is an Exception?
• Handling an Exception
• Expect Clause with No Exceptions

Object Oriented Programming

• Classes
• Constructors
• Methods

Package and Modules

• Working with PyCharm
• Defining Packages
• Defining Modules
• Locating Modules
• Namespaces und Scoping

Exkurs: Unit Test

• Introduction
• PyTest Example

Working with Database (Options)

• create
• read
• update
• delete