Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Meeting in the notebook: a notebook-based environment for
  micro-submissions in data science collaborations   Developers in data science and other domains frequently use computational
notebooks to create exploratory analyses and prototype models. However, they
often struggle to incorporate existing software engineering tooling into these
notebook-based workflows, leading to fragile development processes. We
introduce Assembl\'{e}, a new development environment for collaborative data
science projects, in which promising code fragments of data science pipelines
can be contributed as pull requests to an upstream repository entirely from
within JupyterLab, abstracting away low-level version control tool usage. We
describe the design and implementation of Assembl\'{e} and report on a user
study of 23 data scientists.

7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex