Snakes on a Spaceship - An Overview of Python in Heliophysics
Computational analysis has become ubiquitous within the heliophysics community. However, community standards for peer review of codes and analysis have lagged behind these developments. This absence has contributed to the reproducibility crisis, where inadequate analysis descriptions and loss of sci...
Uloženo v:
| Vydáno v: | Journal of geophysical research. Space physics Ročník 123; číslo 12; s. 10,384 - 10,402 |
|---|---|
| Hlavní autoři: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Goddard Space Flight Center
AGU - American Geophysical Union
01.12.2018
Blackwell Publishing Ltd American Geophysical Union (AGU) |
| Témata: | |
| ISSN: | 2169-9380, 2169-9402 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | Computational analysis has become ubiquitous within the heliophysics community. However, community standards for peer review of codes and analysis have lagged behind these developments. This absence has contributed to the reproducibility crisis, where inadequate analysis descriptions and loss of scientific data have made scientific studies difficult or impossible to replicate. The heliophysics community has responded to this challenge by expressing a desire for a more open, collaborative set of analysis tools. This article summarizes the current state of these efforts and presents an overview of many of the existing Python heliophysics tools. It also outlines the challenges facing community members who are working toward the goal of an open, collaborative, Python heliophysics toolkit and presents guidelines that can ease the transition from individualistic data analysis practices to an accountable, communalistic environment. |
|---|---|
| Bibliografie: | GSFC E-ISSN: 2169-9402 GSFC-E-DAA-TN65979 ISSN: 2169-9380 Goddard Space Flight Center Report Number: GSFC-E-DAA-TN65979 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 USDOE 20170047DR |
| ISSN: | 2169-9380 2169-9402 |
| DOI: | 10.1029/2018JA025877 |