Results 21 to 30 of about 221,251 (313)
A Large-Scale Comparison of Python Code in Jupyter Notebooks and Scripts [PDF]
In recent years, Jupyter notebooks have grown in popularity in several domains of software engineering, such as data science, machine learning, and computer science education.
Konstantin Grotov +4 more
semanticscholar +1 more source
Computational reproducibility of Jupyter notebooks from biomedical publications [PDF]
Background Jupyter notebooks facilitate the bundling of executable code with its documentation and output in one interactive environment, and they represent a popular mechanism to document and share computational workflows, including for research ...
Sheeba Samuel, D. Mietchen
semanticscholar +1 more source
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks [PDF]
Computational notebooks allow data scientists to express their ideas through a combination of code and documentation. However, data scientists often pay attention only to the code, and neglect creating or updating their documentation during quick ...
A. Wang +8 more
semanticscholar +1 more source
Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration
Data scientists often have to use other presentation tools (e.g., Microsoft PowerPoint) to create slides to communicate their analysis obtained using computational notebooks.
Fengjie Wang +6 more
semanticscholar +1 more source
Taking Note: Challenges of Dealing with Graphical Content in TEI
This paper describes the ongoing development of a TEI-conformant model for the encoding of hybrid primary sources containing text and graphical components on a similar level of semantic meaning.
Martina Scholger
doaj +1 more source
Imprimer: Computational Notebooks for CNC Milling
Digital fabrication in industrial contexts involves standardized procedures that prioritize precision and repeatability. However, fabrication machines are now available for practitioners who focus instead on experimentation.
Jasper Tran O'Leary +2 more
semanticscholar +1 more source
StickyLand: Breaking the Linear Presentation of Computational Notebooks [PDF]
How can we better organize code in computational notebooks? Notebooks have become a popular tool among data scientists, as they seamlessly weave text and code together, supporting users to rapidly iterate and document code experiments.
Zijie J. Wang, Katie Dai, W. K. Edwards
semanticscholar +1 more source
From the Index to Akhmatova’s Notebooks: Genrikh Yagoda [PDF]
The article from the author's cycle “From the Index to Akhmatova's Notebooks” (published in various periodicals) demonstrates the attempt of an extensive commentary on Akhmatova's working notes, organized around the characters present on the pages of her
Roman D. Timenchik
doaj +1 more source
Heidegger’s Black Notebooks: The ≫Self‑Annihilation≪ of the Philosopher’s Legacy? [PDF]
The Black Notebooks [Schwarze Hefte] are personal notebooks that Heidegger wrote from the beginning of the 1930s to the end of the war. The first notebook has been lost, but transcripts of the next fourteen, which originated in the decade 1931–1941, were
Matic Kocijančič
doaj +1 more source
Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people's needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks to ...
Amid Ayobi +10 more
semanticscholar +1 more source

