piwheels

funAD

an automatic differentiation package created by AC207 students

Installation

In a virtualenv (see these instructions if you need to create one):

pip3 install funad

Dependencies

• numpy

Releases

Version	Released	Bookworm Python 3.11	Trixie Python 3.13	Files
1.0.3	2022-12-11
funAD-1.0.3-py3-none-any.whl (11 KB)
1.0.2	2022-12-11
funAD-1.0.2-py3-none-any.whl (11 KB)
1.0.1	2022-12-11
funAD-1.0.1-py3-none-any.whl (11 KB)
1.0.0	2022-12-11
funAD-1.0.0-py3-none-any.whl (11 KB)
0.1.8	2022-12-10
funAD-0.1.8-py3-none-any.whl (11 KB)
0.1.7	2022-12-09
funAD-0.1.7-py3-none-any.whl (11 KB)
0.1.6	2022-12-09
funAD-0.1.6-py3-none-any.whl (11 KB)
0.1.5	2022-12-07
funAD-0.1.5-py3-none-any.whl (8 KB)
0.1.4	2022-12-07
funAD-0.1.4-py3-none-any.whl (8 KB)
0.1.3	2022-12-07
funAD-0.1.3-py3-none-any.whl (8 KB)
0.1.2	2022-12-06
funAD-0.1.2-py3-none-any.whl (12 KB)
0.1.1	2022-12-03
funAD-0.1.1-py3-none-any.whl (7 KB)
0.1.0	2022-12-03
funAD-0.1.0-py3-none-any.whl (6 KB)
0.0.9	2022-12-03
funAD-0.0.9-py3-none-any.whl (6 KB)
0.0.8	2022-11-23
funAD-0.0.8-py3-none-any.whl (7 KB)
0.0.7	2022-11-20
funAD-0.0.7-py3-none-any.whl (7 KB)
0.0.6	2022-11-20
funAD-0.0.6-py3-none-any.whl (7 KB)

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