NumPy
Sign in to savelibreria open source per il linguaggio di programmazione Python
Key facts
- Software.title
- NumPy
- Software.name
- NumPy
- Software.logo
- NumPy logo 2020.svg
- Software.logo_size
- 200px
- Software.screenshot
- NumPy Matplotlib sin x plotted with red dots.svg
- Software.caption
- Plot of y=sin(x) function, created with NumPy and Matplotlib libraries
- Software.author
- Travis Oliphant
- Software.developer
- Community project
- Software.released
- As Numeric, ; as NumPy,
- Software.programming language
- Python, C
- Software.operating system
- Cross-platform
- Software.genre
- Numerical analysis
- Software.license
- BSD
via Wikipedia infobox
Source code
NumPy requires pytest and hypothesis . Tests can then be run after installation with: NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the NumPy Code of Conduct for guidance on how to interact with others in a way that makes our community thrive. Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through the mailing list first. Writing code isn’t the only way to contribute to NumPy. You can also: review pull requests help us stay on top of new and old issues develop tutorials, presentations, and other educational materials maintain and improve our website develop graphic design for our brand assets and promotional materials translate website content help with outreach and onboard new contributors write grant proposals and help with other fundraising efforts We also have a biweekly community call, details of which are announced on the mailing list. You are very welcome to join. If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.
Excerpt from the source-code README · 4,225 chars · not written by Vinony
Wikidata facts
- Official website
- numpy.org
- Image
- Numpy example.png
Show 7 more facts
- issue tracker URL
- github.com/numpy/numpy/issues
- source code repository URL
- github.com/numpy/numpy
- software version identifier
- 2.4.4
- social media followers
- 22564
- Stack Exchange tag
- stackoverflow.com/tags/numpy
- inception
- 1995-01-01
- Commons category
- NumPy
Sources (8)
via Wikidata · CC0
Article · Italiano
NumPy è una libreria open source per il linguaggio di programmazione Python, che aggiunge supporto a grandi matrici e array multidimensionali insieme a una vasta collezione di funzioni matematiche di alto livello per poter operare efficientemente su queste strutture dati.È stato creato nel 2005 da Travis Oliphant basandosi su Numeric di Jim Hugunin. NumPy si rivolge all'implementazione di riferimento CPython di Python, che è un interprete di bytecode non ottimizzante. Gli algoritmi matematici scritti per questa versione di Python spesso vengono eseguiti molto più lentamente degli equivalenti compilati. NumPy affronta il problema della lentezza in parte fornendo array multidimensionali e funzioni e operatori che operano in modo efficiente sugli array; l'utilizzo di questi richiede la riscrittura del codice, principalmente loop interni, utilizzando NumPy.
Abstract from DBpedia / Wikipedia · CC BY-SA