Understanding performance concerns in the API documentation of data science libraries-Reference-Cited by-同舟云学术

Understanding performance concerns in the API documentation of data science libraries

Published:2020-12-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
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Author:

Tao Yida¹,Jiang Jiefang¹,Liu Yepang²,Xu Zhiwu¹,Qin Shengchao¹

Affiliation:

1. Shenzhen University, China

2. Southern University of Science and Technology, China

Funder

Guangdong Basic and Applied Basic Research Foundation

National Natural Science Foundation of China

Publisher

ACM

Link

Reference49 articles.

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2. [n.d.]. GitHub REST API v3. https://developer.github.com/v3/ [n.d.]. GitHub REST API v3. https://developer.github.com/v3/

3. [n.d.]. NumPy. http://www.numpy.org/. [n.d.]. NumPy. http://www.numpy.org/.

4. [n.d.]. Pandas. https://pandas.pydata.org/. [n.d.]. Pandas. https://pandas.pydata.org/.

5. [n.d.]. Project Jupyter. https://jupyter.org/ [n.d.]. Project Jupyter. https://jupyter.org/

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3. Understanding performance concerns in the API documentation of data science libraries;Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering;2020-12-21