tag:jose.theoj.org,2005:/papers/tagged/jupyter%20notebooks
Journal of Open Source Education
2023-02-08T15:47:12Z
Journal of Open Source Education
https://jose.theoj.org
tag:jose.theoj.org,2005:Paper/68
2023-02-08T15:47:12Z
2023-06-20T00:00:49Z
LTPy - Learning tool for Python on Atmospheric Composition
accepted
v0.5
2021-01-29 15:36:26 UTC
60
2023-02-08 15:47:12 UTC
6
2023
172
Julia
Wagemann
Laboratory for Climatology and Remote Sensing (LCRS), Philipps University Marburg
0000-0002-3075-2559
Sabrina
H.
Szeto
Sabrina Szeto Consulting
0000-0002-3050-837X
Simone
Mantovani
Meteorological Environmental Earth Observation (MEEO) s.r.l.
0000-0003-3979-3645
Federico
Fierli
European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)
0000-0001-9975-2883
10.21105/jose.00172
https://doi.org/10.5281/zenodo.7463072
Jupyter Notebook, Python
https://jose.theoj.org/papers/10.21105/jose.00172.pdf
python, jupyter notebooks, copernicus, atmospheric composition, open data
tag:jose.theoj.org,2005:Paper/158
2022-10-24T21:20:52Z
2023-06-20T00:00:42Z
Reproducible Data Science with Python: An Open Learning Resource
accepted
v1.0.0
2021-11-19 10:27:11 UTC
56
2022-10-24 21:20:52 UTC
5
2022
156
Valentin
Danchev
Department of Sociology, University of Essex, United Kingdom, School of Business and Management, Queen Mary University of London, United Kingdom
0000-0002-7563-0168
10.21105/jose.00156
https://doi.org/10.5281/zenodo.6895578
Jupyter Notebook, JavaScript, Python
https://jose.theoj.org/papers/10.21105/jose.00156.pdf
data science, Jupyter notebook, reproducible workflow, open science, real-world social data, exploratory data analysis, machine learning, social networks, data science ethics
tag:jose.theoj.org,2005:Paper/18
2019-01-06T21:08:57Z
2021-05-23T15:21:15Z
nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook
accepted
v0.5.4
2018-10-06 15:46:00 UTC
16
2019-01-06 21:08:57 UTC
2
2019
32
Project
Jupyter
University of California, Berkeley
Douglas
Blank
Bryn Mawr College
0000-0003-3538-8829
David
Bourgin
University of California, Berkeley
0000-0003-1039-6195
Alexander
Brown
Lafayette College
0000-0002-3945-7337
Matthias
Bussonnier
University of California, Berkeley
0000-0002-7636-8632
Jonathan
Frederic
Google Inc.
0000-0003-4805-2216
Brian
Granger
Cal Poly, San Luis Obispo
0000-0002-5223-6168
Thomas
L.
Griffiths
University of California, Berkeley
0000-0002-5138-7255
Jessica
Hamrick
DeepMind
0000-0002-3860-0429
Kyle
Kelley
Netflix, Inc.
0000-0002-4281-9351
M
Pacer
Netflix, Inc.
0000-0002-6680-2941
Logan
Page
University of Pretoria
0000-0002-5799-8524
Fernando
PĂ©rez
University of California, Berkeley
0000-0002-1725-9815
Benjamin
Ragan-Kelley
Simula Research Laboratory
0000-0002-1023-7082
Jordan
W.
Suchow
University of California, Berkeley
0000-0001-9848-4872
Carol
Willing
Cal Poly, San Luis Obispo
0000-0002-9817-8485
10.21105/jose.00032
https://doi.org/10.5281/zenodo.2532780
PowerShell, Python, Mako
https://jose.theoj.org/papers/10.21105/jose.00032.pdf
jupyter, jupyterhub, grading, autograding