Programming is the essential tool for managing data sets and conducting data science methods. Handling huge data sets manually is impossible, so we can only prepare, curate, analyze and evaluate them by programmable means. In addition, programming is crucial for documenting, creating graphical output, and presenting results (e.g., on the web). In order to write programs, we need to a programming language – but what is that?
Approximately 700 programming languages exist – so how can we keep an overview? We learn to distinguish languages from their degree of abstraction and programming paradigm (imperative, procedural, object-oriented, functional, logical, …), or their area of application. Further, we talk about how to choose the appropriate language for the task at hand, which programming languages you should know, and see some of them briefly presented in this course.
Overview about programming languages, their features, significance and criteria for distinction.
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Data Train / U Bremen Research Alliance