
Jupyter represents interactive computing, data processing and programming for beginners and experts. Jupyter is a versatile tool and provides a low threshold entry to the world of coding. This presentation in the .ipynb (Interactive Python Notebook) format gives a short overview about Jupyter and utilizes Python code in its examples. One example uses public temperature data by the German Weather Service (DWD). To find more information on Jupyter at the Philipps University of Marburg, feel free to check out the corresponding service website: https://jupyter.uni-marburg.de Important note: You can watch a recording of this HeFDI Data Talk under https://youtu.be/552xN7hA8Lw. Feel free to also check out our other event recordings there!
The HeFDI Data Talks are a bi-weekly open information and discussion event around the topic of data management in the context of science, in which relevant NFDI consortia as well as research data management services present themselves. The series discusses current topics and introduces numerous tools and services, including local and regional ones. If you have suggestions or feedback regarding topics, please feel free to contact the HeFDI office (hefdi@uni-marburg.de). If you would like to receive regular updates on our offerings and events, feel free to sign up for our newsletter!
The HeFDI Data Talks are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by the Hessian Ministry of Higher Education, Research, Science and the Arts (HMWK).
FDM, software, HeFDI Data Talk, HeFDI, RDM, Forschungsdatenmanagement, research data management, interaktive Datenverarbeitung, interactive computing, Jupyter, data processing, Datenverarbeitung
Jupyter Notebook
FDM, software, HeFDI Data Talk, HeFDI, RDM, Forschungsdatenmanagement, research data management, interaktive Datenverarbeitung, interactive computing, Jupyter, data processing, Datenverarbeitung
Jupyter Notebook
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
