Python: Batteries Included

By Paul F. D Ubois. 2007

42 citations recorded by the source corpus.

Subfields: ML Systems & Hardware

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In ML Systems & Hardware

1. J. Vanderplas
2. Gilles Louppe
3. K. Jarrod Millman
4. Fabian Pedregosa
5. Gaël Varoquaux
6. Andrew S. Rosen
7. Carlos Henrique Grohmann
8. Colin Raffel

Citations in the corpus

• Array programming with NumPy (2020, neutral): “[2] P.”
• Scikit-learn: Machine Learning in Python (2011, background): “Thanks to its high-level interactive nature and its maturing ecosystem of scientific libraries, it is an appealing choice for algorithmic development and exploratory data analysis (Dubois, 2007; Milmann and Avaizis, 2011).”
• NEURON and Python (2008, unknown): “Python has proved its utility by giving rise to a large and diverse community of software developers who are making reusable tools that are easy to plug-in to the user’s code, the so-called “batteries included” (Dubois, 2007).”
• SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python (2019, background): “In areas that move relatively slowly, for example, linear algebra, SciPy aims to provide complete coverage.”