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  1. Computer science

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    Computer science is the study of processes that interact with data and that can be represented as data in the form of programs. It enables the use of

  2. Abstraction (computer science)

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    abstraction is removing irrelevant data so a program is easier to understand.[citation needed] Different programming languages provide different types

  3. R (programming language)

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    RStudio, an integrated development environment, and Jupyter, a notebook interface. R is an implementation of the S programming language combined with

  4. End-user development

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    End-user development (EUD) or end-user programming (EUP) refers to activities and tools that allow end-users – people who are not professional software

  5. Computer programming

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    machine code of computer programs. These might be considered part of the programming process, but often the term software development is used for this larger

  6. Data-centric programming language

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    Data-centric programming language defines a category of programming languages where the primary function is the management and manipulation of data. A

  7. Notebook interface

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    literate programming. It pairs the functionality of word processing software with both the shell and kernel of that notebook's programming language.

  8. Anaconda (Python distribution)

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    of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive

  9. Computer Science and Engineering

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    intelligence, machine learning and data science are also covered under these programs. Computer science programs typically centers primarily around theory

  10. Big data

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    in the big data environment. Computational social sciences – Anyone can use Application Programming Interfaces (APIs) provided by big data holders, such

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