The SciPy Documentation Project
By Joseph Harrington. 2008
The SciPy Documentation Project seeks to provide NumPy and SciPy with professional documentation and documentation access tools in a variety of formats. As our first effort, we have sponsored the SciPy Documentation Marathon 2008, whose goal is to produce reference documentation for the most-used portions of NumPy. I present an overview of current efforts and future plans.
Subfields: Numerical Methods & Scientific Computing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Numerical Methods & Scientific Computing
- J. Vanderplas
- Matthew Newville
- Ian Henriksen
- Juan Nunez-Iglesias
- Felix Lenders
- K. Jarrod Millman
- Tiziano Zito
- Fabian Pedregosa
Citations in the corpus
- Array programming with NumPy (2020, background): “The project also has comprehensive, high-quality documentation, integrated with the source code [32, 33, 34].”
- SciPy 1.0: fundamental algorithms for scientific computing in Python (2019, methodology): “The SciPy Documentation Project 33,34 used these tools to complete documentation of SciPy’s user-facing functionality: offering t-shirts to contributors from around the world in exchange for high-quality text, it collected contributions from over 75 people to produce an 884-page manual 35 .”
- SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python (2019, methodology): “The SciPy Documentation Project 33,34 used these tools to complete documentation of SciPy’s user-facing functionality: offering t-shirts to contributors from around the world in exchange for high-quality text, it collected contributions from over 75 people to produce an 884-page manual 35 .”