Building R Packages

Academy
Coursera
Kurzbeschreibung
Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, ... mehr...
Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, contin weniger
Kursarten
E-Learning
Fachbereiche

Informatik, Data Science, Machine Learning, AI, R

Dieser Kurs ist neu hier. 0 User folgen diesem Kurs und erhalten Bescheid, wenn es Neues gibt - Kurs jetzt folgen.

Du hast den Kurs besucht? Kurs jetzt bewerten.

Hier kannst du der Eggheads Community deine Fragen zu diesem Kurs stellen. Auch Kursleiter können mitdiskutieren.


Frage stellen

Du must angemeldet sein um zu antworten

Kursinhalt
Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN.
Kurssprache
Englisch
Kursgebühr
USD 49