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  1. Computer science

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    applications. Programming language theory considers approaches to the description of computational processes, while computer programming itself involves

  2. 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

  3. 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

  4. R (programming language)

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    interfaces, such as RStudio, an integrated development environment. R is an implementation of the S programming language combined with lexical scoping semantics

  5. 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

  6. Software development

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    Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining

  7. 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

  8. 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

  9. Theoretical computer science

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    disproved. These developments have led to the modern study of logic and computability, and indeed the field of theoretical computer science as a whole[citation

  10. 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

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