In computer science, „Příprava“ translates to „Preparation“ in English and refers to the initial phase of a project or procedure where necessary arrangements are made before execution. This phase can encompass various activities such as defining requirements, designing system architecture, gathering resources, and setting up environments. It is critical to ensure that all components are in place for successful implementation, reducing the likelihood of errors and inefficiencies in subsequent stages.

In software development, preparation might involve creating specifications, preparing test cases, establishing version control, and setting up development tools. In data science, it may refer to data preparation, which includes data cleaning, normalization, and transformation to ensure that the data is suitable for analysis or machine learning tasks.

Effective preparation is fundamental in ensuring that the workflow is streamlined and objectives are met, ultimately contributing to the overall success of the project.