Our Python Process
FUF starts every Python project with a precise target definition and a detailed requirements analysis. We identify both functional and non-functional requirements to ensure that the solution is optimally tailored to the client's needs. At FUF, we place particular emphasis on performance and efficiency. We know that requirements change frequently, so we try to take adaptability into account right from the initial implementation.
Based on the requirements, we select the appropriate Python technologies and frameworks. From web applications with Django or Flask to data-intensive projects with Pandas and NumPy. We integrate external APIs and databases to create seamless, scalable solutions.
We start with an MVP and expand the project step by step. By using unit tests with Unittest or Pytest and integration tests, we ensure that the requirements work as intended. Deviations that change the behavior due to further developments or updates are detected immediately and can be corrected immediately.
Once the Python application has been developed and deployed, we host it in your or our infrastructure. We establish robust continuous integration and development processes to ensure the application’s ongoing enhancement and seamless updates.
Advantages of Python
Due to its versatility, the Python programming language is increasingly being used in numerous areas, including for backend applications in web and app development, together with frameworks such as Django and Flask. Python is very suitable for automation via scripting, e.g. for data preparation or data transfer. Python is also used in system administration and for DevOps. This is precisely why we as a Python agency from Stuttgart like to use the programming language for testing new applications.
Thanks to its simple and clear syntax, Python is ideal for rapid development and prototyping. Python makes it possible to quickly turn ideas into functional code, which is a great advantage for many start-ups and in research.
Python offers a huge collection of libraries and frameworks for almost all application areas. The Python community is very active, which means that there is an enormous amount of resources, tutorials, third-party libraries and open source projects to help developers find solutions quickly.
Python integrates well with other programming languages and technologies. For example, Python can easily interact with C, C++, Java or even NET applications. This makes it ideal for projects where different technologies need to communicate with each other.
Pythons popularity has grown enormously in recent years and is used extensively in data science, machine learning and artificial intelligence.
What is Python?
Python is a popular programming language that was first published in 1991 by Guido van Rossum. It is particularly well known for its simple and readable syntax, which makes it easy for both beginners and experienced developers to work with. Python is versatile and is not only convincing in web applications, but also in desktop applications or in the embedded sector. As a python development company, this is precisely why python is part of our basic toolset.
Python offers a much more extensive standard library than most programming languages, as Python is primarily used in teaching and scientific fields. As a result, Python has a very large community and many libraries for almost all topics.