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Introduction to Java

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Computational Life Sciences

Part of the book series: Studies in Big Data ((SBD,volume 112))

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Abstract

This chapter is a principal introduction to the Java programming language, treating the setup of an adequate environment, basics and the integration of external libraries. Beyond, it provides information of using collaborative tools like Git. This quick start guide to Java is designed to be application-oriented, supporting an easy start.

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Notes

  1. 1.

    In Order to avoid problems, the textfile should have an utf8 encoding.

  2. 2.

    Beside of Java, Eclipse offers broad support for nearly every programming language or even markups like TeX/LaTeX, HTML, XML, ...

Author information

Authors and Affiliations

  1. Federal Institute for Vocational Education and Training (BIBB), Bonn, Germany

    Jens Dörpinghaus

  2. German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany

    Jens Dörpinghaus & Sebastian Schaaf

  3. Department of Mathematics and Computer Science, University of Cologne, Albertus-Magnus-Platz, 50923, Cologne, Germany

    Vera Weil

  4. Department for Mathematics and Computer Science, University of Cologne, Cologne, Germany

    Alexander Apke

Authors
  1. Jens Dörpinghaus
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  2. Vera Weil
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  3. Sebastian Schaaf
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  4. Alexander Apke
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Corresponding author

Correspondence to Jens Dörpinghaus .

Editor information

Editors and Affiliations

  1. German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany

    Jens Dörpinghaus

  2. Department for Mathematics and Computer Science, University of Cologne, Cologne, Germany

    Vera Weil

  3. German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany

    Sebastian Schaaf

  4. High Performance Computing, Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany

    Alexander Apke

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Dörpinghaus, J., Weil, V., Schaaf, S., Apke, A. (2022). Introduction to Java. In: Dörpinghaus, J., Weil, V., Schaaf, S., Apke, A. (eds) Computational Life Sciences. Studies in Big Data, vol 112. Springer, Cham. https://doi.org/10.1007/978-3-031-08411-9_2

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