daniel mietchen computational reproducibility of jupyter notebooks from biomedical publications |
Published 1 year ago • 61 plays • Length 31:52Download video MP4
Download video MP3
Similar videos
-
23:47
jon bannister - notebooker: from research to production in a snap using jupyter |jupytercon 2020
-
26:14
stephen macke ipyflow: supercharging jupyter with dataflow awareness | jupytercon 2023
-
22:58
tingkai liu- flybrainlab: interactive computing in the connectomic/synaptomic era | jupytercon 2020
-
55:41
i don't like jupyter notebooks // joel grus // coffee sessions #62
-
23:06
danial senejohnny - survival analysis: a deep dive | pydata amsterdam 2023
-
36:15
noteplan 3 - digital planning 2021 with backlinks - interview with ceo eduard metzger
-
23:54
"intro to paws/jupyter notebooks for python beginners" by chico venancio
-
42:40
thomas kluyver, min ragan kelley - jupyter: notebooks in multiple languages for data science
-
27:59
immanuel bayer- ipyannotator - the infinitely hackable annotation framework | jupytercon 2020
-
40:44
luciano resende, alan chin: ai pipelines powered by jupyter notebooks | pydata austin 2019
-
39:50
brian granger: all about jupyter
-
27:20
johan mabille, thorsten beier xeus kernels in the browser | jupytercon 2023
-
3:15
unlock the power of annotations in data notebooks: a tutorial on noteable data explorer
-
28:19
from jupyter notebooks to jetbrains dataspell - andrey cheptsov | pydata global 2021
-
1:18:00
productionizing jupyter notebooks | antoni ivanov | dsc europe 23
-
25:12
joseph lucas - mischief managed: what hackers can do on your jupyter instance | pydata global 2022
-
10:12
how to use .net interactive jupyter notebooks in daily work-life | data exposed: mvp edition
-
4:53
04.30.24-startup-ecosystem-conference-startups-lendica
-
20:44
from jupyter to production - filip jankovic | pydata global 2021
-
3:48
module 5: build a jupyter book with the turing way