Skip to main content

PiCa is lightweight and minimalist package for autodiff.

Project description

PiCa

PiCa is lightweight and minimalist package for autodiff.

This library is still under development, so it is recommended that it is only used on an experimental basis!

PiCa provides:

  • Representing mathematical functions using computational graphs.
  • Evaluation of functions
  • Obtain the derivatives of the variables of the function

Contribution:

The PiCa library is still under development, so you may not find some nodes you want to work with. More features will be added to the library continuously, and anyone is free to make a pull request. To make a pull request, it is important to point out the changes you have made and why you have made them.

Installation

pip install picalib

Documentation:

Docs

Code:

Github

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

picalib-0.1.3-py3-none-any.whl (5.2 kB view details)

Uploaded Python 3

File details

Details for the file picalib-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: picalib-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 5.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for picalib-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7b1135de4654ba4ff8425a4b2c7f220740003186ca25266289f151eace930e10
MD5 b388b26c20775fcd30522e102bbbed4d
BLAKE2b-256 42905267dfdf3502ac5d313401943554b32ef7229d08907735252a1ca146797a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page