Reviews 5,0
Reviews 5,0
Advanced Programming Techniques with Python
Robust software relies on clear structures and well-crafted technical foundations. Python gives you a powerful toolkit for building demanding applications.
Key topics
- Applying object-oriented models and design patterns
- Putting functional programming concepts to work in Python
- Implementing parallel processing and concurrency
- Designing and integrating APIs and microservices
- Securing applications with unit and integration tests
- Optimizing code for performance and scalability
Prerequisite
A solid working knowledge of Python syntax, modules, and software development principles is expected.
Target group
Developers, IT architects, and professionals in web development, data analysis, and system integration.
Advanced programming techniques lay the groundwork for robust, maintainable software – built with modern Python patterns and professional standards.
Course content
OOP Design and Architecture
- Understanding and applying OOP concepts
- Leveraging the benefits of object-oriented architecture
Classes and Patterns in Python
- Creating and structuring classes
- Using methods effectively
- Implementing the Factory Pattern
Building Graphical Desktop Applications
- Designing and laying out user interfaces
- Creating interactive applications
Database Connectivity and Data Processing
- Establishing connections to data sources
- Storing, updating, and deleting records
RESTful Services and Network Security
- Choosing the right network protocol
- Building a RESTful web service
- Implementing a web service client
- Developing secure network applications
Data Analysis with Python
- Cleaning and preparing raw data
- Visualizing and interpreting data
- Applying linear regression
Testing and Error Handling in Python
- Handling exceptions in a structured way
- Writing and developing unit tests
- Running and evaluating tests
Packaging and Deploying Applications
- Creating and installing packages
- Generating distribution files
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
Which techniques count as advanced Python development?
- These include design patterns, decorators, generators, asynchronous programming, and complex data structures and object-oriented architecture.
Who should attend this Advanced Python training?
- Well suited for anyone with Python basics who wants to build more capable applications and sharpen their skills to a professional level.
What do you learn in an Advanced Python course?
- Key areas include data types, regular expressions, error handling, unit testing, multithreading, performance optimization, and modular design.
What improves after completing Advanced Python training?
- Participants build more stable, maintainable applications and tackle complex projects more confidently – a clear advantage in any professional setting.
What prior knowledge is expected for this training?
- A solid grasp of Python fundamentals – including functions, loops, conditionals, and modules – plus basic software development knowledge.
How does the training pay off in your day-to-day work?
- Coding tasks become more efficient, large projects more structured, and collaboration within development teams noticeably improves.
What proof of completion do you receive after the training?
- Upon completion, a recognized certificate of participation is issued, confirming the skills acquired and ready for professional use.
