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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| KBSE, SC | 2023-11-18 09:55 |
Miyagi | Sento Kaikan | Introducing Gamification into an Experiment-based Programming Platform Aoi Nagatani, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.)  KBSE2023-43 SC2023-26 |
Recently, platforms such as JupyterLab and Google Colaboratory are often used for data science programming. However, the... [more] | KBSE2023-43 SC2023-26 pp.51-56 |
| ET | 2022-09-17 14:15 |
Hiroshima | Hiroshima University and Online (Primary: On-site, Secondary: Online) |
Implementation of real-time learning progress monitoring system using Jupyter
-- A new tool for teaching programming efficiently -- Ziyi Lin, Yusuke Suzuki, Fumikazu Iseki, Yoichi Murakami (TUIS) ET2022-17 |
A system for programming education to improve the efficiency of teaching has been developed based on Jupyter. In this ... [more] |
ET2022-17 pp.42-47 |
| ET | 2022-03-04 11:00 |
Online | Online | Real-time collection of execution logs and visualization of learning status on JupyterLab Yusuke Suzuki, Ziyi Lin, Fumikazu Iseki, Yoichi Murakami (TUIS) ET2021-60 |
In recent years, leaning materials using an interactive development environment have been attracting attention, and the ... [more] | ET2021-60 pp.54-58 |
| SS | 2021-03-04 14:15 |
Online | Online | A Reproducibility Support Tool Using Execution Log for Jupyter Notebook Naotoshi Matsubara, Ken Matsui, Naoyasu Ubayashi, Yasutaka Kamei (Kyushu Univ.) SS2020-43 |
Jupyter Notebook is a tool for managing programs, explanatory texts, and execution results, and is widely used in variou... [more] | SS2020-43 pp.90-95 |
| SR, RCS (Joint) (2nd) |
2018-10-31 13:25 |
Overseas | Mandarin Hotel, Bangkok, Thailand | [Poster Presentation]
Performance Prediction of Jupyter notebook in JupyterHub using Machine Learning Pariwat Prathanrat, Chantri Polprasert (SWU) |
we employ machine learning to predict the performance of Jupyter notebook on JupyterHub. We show that the notebook?s CPU... [more] | |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-06 14:30 |
Toyama | [Invited Talk]
Data Analysis Using Ptyhon (Summarized version) Toshihiro Kamishima (AIST) PRMU2016-86 IBISML2016-41 |
This talk is a summary version of the talk entitled ``Data Analysis in Python'', held on Sep.~9,~2016 in FIT2016. Data a... [more] | PRMU2016-86 IBISML2016-41 p.255 |
|
| SC | 2015-06-05 15:20 |
Tokyo | National Institute of Informatics 12F 1210/1208 | Infrastructure as Code meets IPython notebook to be Literate Computing Yoshinobu Masatani, Satoshi Yazawa, Shigetoshi Yokoyama, Nobukazu Yoshioka, Kento Aida (NII) SC2015-6 |
Cloud has put the pressure to rapidly build systems and frequently re-configure services, then Infrastructure as Code ha... [more] | SC2015-6 pp.27-32 |
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