Semantic Scholar Open Access 2017 1879 sitasi

SymPy: Symbolic computing in Python

Aaron Meurer Christopher P. Smith Mateusz Paprocki O. Certík S. B. Kirpichev +22 lainnya

Abstrak

SymPy is an open source computer algebra system written in pure Python. It is built with a focus on extensibility and ease of use, through both interactive and programmatic applications. These characteristics have led SymPy to become the standard symbolic library for the scientific Python ecosystem. This paper presents the architecture of SymPy, a description of its features, and a discussion of select domain specific submodules. The supplementary materials provide additional examples and further outline details of the architecture and features of SymPy.

Topik & Kata Kunci

Penulis (27)

A

Aaron Meurer

C

Christopher P. Smith

M

Mateusz Paprocki

O

O. Certík

S

S. B. Kirpichev

M

M. Rocklin

A

Amit Kumar

S

Sergiu Ivanov

J

J. K. Moore

S

Sartaj Singh

T

T. Rathnayake

S

Sean Vig

B

B. Granger

R

R. Muller

F

F. Bonazzi

H

Harsh Gupta

S

Shivam Vats

F

Fredrik Johansson

F

Fabian Pedregosa

M

M. Curry

A

A. Terrel

Š

Š. Roučka

A

Ashutosh Saboo

I

Isuru Fernando

S

Sumith Kulal

R

R. Cimrman

A

A. Scopatz

Format Sitasi

Meurer, A., Smith, C.P., Paprocki, M., Certík, O., Kirpichev, S.B., Rocklin, M. et al. (2017). SymPy: Symbolic computing in Python. https://doi.org/10.7287/peerj.preprints.2083v2

Akses Cepat

Informasi Jurnal
Tahun Terbit
2017
Bahasa
en
Total Sitasi
1879×
Sumber Database
Semantic Scholar
DOI
10.7287/peerj.preprints.2083v2
Akses
Open Access ✓